# Single_Object_Tracking_Paper_List **Repository Path**: vt-developer/Single_Object_Tracking_Paper_List ## Basic Information - **Project Name**: Single_Object_Tracking_Paper_List - **Description**: No description available - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-02-10 - **Last Updated**: 2025-02-10 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Single_Object_Tracking_Paper_List Paper list for single object tracking (Modified from [[benchmark_results](https://github.com/foolwood/benchmark_results)] and continue to Update this list) ![fig-1](https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List/blob/main/trackingTypes.png) ![fig-1](https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List/blob/main/tracking_words.png) ### Pre-print: * **VastTrack: Vast Category Visual Object Tracking**, Liang Peng, Junyuan Gao, Xinran Liu, Weihong Li, Shaohua Dong, Zhipeng Zhang, Heng Fan, Libo Zhang [[Paper](https://arxiv.org/abs/2403.03493)] * "**CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras**." Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang. arXiv preprint arXiv:2401.02826. [[arXiv](https://arxiv.org/abs/2401.02826)] * **Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric**, Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, Yaowei Wang, Yonghong Tian [[Paper](https://arxiv.org/abs/2211.11010)] [[Github](https://github.com/Event-AHU/COESOT)] [[DemoVideo](https://youtu.be/_ROv09rvi2k)] * [IEEE TCYB-2023] **VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows**, Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu [[Paper](https://arxiv.org/abs/2108.05015)] [[Project](https://sites.google.com/view/viseventtrack/)] [[Video](https://www.youtube.com/watch?v=U4uUjci9Gjc)] [[VideoTutorial](https://youtu.be/vGwHI2d2AX0)] ### AAAI 2025 * **MambaLCT: Boosting Tracking via Long-term Context State Space Model**, Xiaohai Li, Bineng Zhong, Qihua Liang, Guorong Li, Zhiyi Mo, Shuxiang Song [[Paper](https://arxiv.org/abs/2412.13615)] * **Robust Tracking via Mamba-based Context-aware Token Learning**, Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song [[Paper](https://arxiv.org/abs/2412.13611)] * **Less is More: Token Context-aware Learning for Object Tracking**, Chenlong Xu, Bineng Zhong, Qihua Liang, Yaozong Zheng, Guorong Li, Shuxiang Song [[Paper](https://arxiv.org/abs/2501.00758)] ### ECCV 2024 * "**Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance**" Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang*, Yong Xu, Haibin Ling* [[Paper]()] * **3D Single-object Tracking in Point Clouds with High Temporal Variation**, Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang* [[Paper]()] * **OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers**, Qitai Wang, Jiawei He, Yuntao Chen, Zhaoxiang Zhang* [[]()] * **Local All-Pair Correspondence for Point Tracking**, Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim*, Joon-Young Lee* * **Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training**, Qiangqiang Wu, Yan Xia*, Jia Wan, Antoni Chan * **TAPTR: Tracking Any Point with Transformers as Detection**, Hongyang Li*, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Lei Zhang* * **SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild**, Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu* * **DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video**, Narek Tumanyan*, Assaf Singer, Shai Bagon, Tali Dekel * "**SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking**", Siyuan Li*, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool * Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking Jikai Zheng, Mingjiang Liang, Shaoli Huang, Jifeng Ning* * Beyond MOT: Semantic Multi-Object Tracking Yunhao Li, Qin Li, Hao Wang, Xue Ma, Jiali Yao, Shaohua Dong, Heng Fan, Libo Zhang* * Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks Zhewei Wu, Ruilong Yu, Qihe Liu*, Shuying Cheng, Shilin Qiu, Shijie Zhou * PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking Jiahuan Long*, Tingsong Jiang*, Wen Yao*, Shuai Jia*, Weijia Zhang*, Weien Zhou*, Chao Ma*, Xiaoqian Chen* * JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention Brian Cheong*, Jiachen Zhou*, Steven L Waslander* * Decomposition Betters Tracking Everything Everywhere Rui Li, Dong Liu* * Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL Fangwei Zhong*, Kui Wu, Hai Ci, Chu-ran Wang, Hao Chen * Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking Lorenzo Vaquero*, Yihong Xu, Xavier Alameda-Pineda, Victor M. Brea, Manuel Mucientes * Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking Jiyao Zhang, Weiyao Huang, Bo Peng, Mingdong Wu, Fei Hu, Zijian Chen, Bo Zhao, Hao Dong* * Trackastra: Transformer-based cell tracking for live-cell microscopy Benjamin Gallusser, Martin Weigert* * Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps Jordão Bragantini*, Merlin Lange, Loïc A Royer * VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking Jens Hellekes*, Manuel Mühlhaus, Reza Bahmanyar, Seyed Majid Azimi, Franz Kurz ### CVPR 2024 * **DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking**, Fei Xie (None) · Zhongdao Wang (Huawei Technologies Ltd.) · Chao Ma (Shanghai Jiao Tong University) * **SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking**, Xiaojun Hou (Zhejiang University) · Jiazheng Xing (Zhejiang University) · Yijie Qian (Zhejiang University) · Yaowei Guo (Zhejiang University) · Shuo Xin (Zhejiang University of Technology) · Junhao Chen (Zhejiang University) · Kai Tang (Zhejiang University) · Mengmeng Wang (Zhejiang University) · Zhengkai Jiang (Tencent) · Liang Liu (Tencent Youtu Lab) · Yong Liu (Zhejiang University) * **Context-Aware Integration of Language and Visual References for Natural Language Tracking**, Yanyan Shao (None) · Shuting He (Nanyang Technological University) · Qi Ye (Zhejiang University) · Yuchao Feng (None) · Wenhan Luo (SUN YAT-SEN UNIVERSITY) · Jiming Chen (Zhejiang University) * **HIPTrack: Visual Tracking with Historical Prompts**, Wenrui Cai (Beihang University) · Qingjie Liu (None) · Yunhong Wang (Beihang University) * **Dense Optical Tracking: Connecting the Dots**, Guillaume Le Moing (Inria) · Jean Ponce (Ecole Normale Supérieure de Paris) · Cordelia Schmid (Inria / Google) * **FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking**, Seokju Cho (Korea University) · Gabriel Huang (None) · Seungryong Kim (Korea University) · Joon-Young Lee (Adobe Research) * **Towards Generalizable Multi-Object Tracking**, Zheng Qin () · Le Wang (Xi'an Jiaotong University) · Sanping Zhou (Xi'an Jiaotong University) · Panpan Fu (Xi'an Jiaotong University) · Gang Hua (Wormpex AI Research) · Wei Tang (University of Illinois, Chicago) * **MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark**, Sanghyun Woo (New York University) · Kwanyong Park ( Electronics and Telecommunication Research Institute) · Inkyu Shin (Korea Advanced Institute of Science & Technology) · Myungchul Kim (Korea Advanced Institute of Science & Technology) · In So Kweon (Korea Advanced Institute of Science and Technology) * **NetTrack: Tracking Highly Dynamic Objects with a Net**, Guangze Zheng (The University of Hong Kong) · Shijie Lin (None) · Haobo Zuo (University of Hong Kong) · Changhong Fu (Tongji University) · Jia Pan (University of Hong Kong) * **SpatialTracker: Tracking Any 2D Pixels in 3D Space**, Yuxi Xiao (Zhejiang University) · Qianqian Wang (Cornell University) · Shangzhan Zhang (Zhejiang University) · Nan Xue (Ant Group) · Sida Peng (None) · Yujun Shen (The Chinese University of Hong Kong) · Xiaowei Zhou (None) * **Single-Model and Any-Modality for Video Object Tracking**, Zongwei Wu (Bayerische Julius-Maximilians-Universität Würzburg) · Jilai Zheng (Shanghai Jiaotong University) · Xiangxuan Ren (Shanghai Jiao Tong University) · Florin-Alexandru Vasluianu (Bayerische Julius-Maximilians-Universität Würzburg) · Chao Ma (Shanghai Jiao Tong University) · Danda Paudel (None) · Luc Van Gool (ETH Zurich) · Radu Timofte (University of Würzburg) * **DPHMs: Diffusion Parametric Head Models for Depth-based Tracking**, Jiapeng Tang (Technische Universität München) · Angela Dai () · Yinyu Nie (Huawei Technologies Ltd.) · Lev Markhasin (None) · Justus Thies (Max-Planck Institute for Intelligent Systems) · Matthias Nießner (Technical University of Munich) * **3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow**, Felix Taubner (LG Electronics) · Prashant Raina (LG Electronics) · Mathieu Tuli (LG Electronics Canada Incorporated, TAIL) · Eu Wern Teh (LG Corporation) · Chul Lee (Department of Computer Science, University of Toronto) · Jinmiao Huang (Meta) * **DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos**, Arjun Balasingam (Massachusetts Institute of Technology) · Joseph Chandler (Massachusetts Institute of Technology) · Chenning Li (None) · Zhoutong Zhang (Adobe Systems) · Hari Balakrishnan (Massachusetts Institute of Technology) * **Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers**, Jinxia Xie (Guangxi Normal University) · Bineng Zhong (Guangxi Normal University) · Zhiyi Mo (Wuzhou university) · Shengping Zhang (Harbin Institute of Technology) · Liangtao Shi (Guangxi Normal University) · Shuxiang Song (Guangxi Normal University) · Rongrong Ji (Xiamen University) * **LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry**, Weirong Chen (Technical University of Munich) · Le Chen (Max Planck Institute for Intelligent Systems, Max-Planck Institute) · Rui Wang (Microsoft) · Marc Pollefeys (ETH Zurich / Microsoft) * **Instance Tracking in 3D Scenes from Egocentric Videos**, Yunhan Zhao (University of California, Irvine) · Haoyu Ma (University of California, Irvine) · Shu Kong (None) · Charless Fowlkes (University of California, Irvine) * **3D Feature Tracking at 250 FPS via Event Camera**, Siqi Li (Tsinghua University) · Zhou Zhikuan (None) · Zhou Xue (Li Auto) · Yipeng Li (Tsinghua University, Tsinghua University) · Shaoyi Du (Xi'an Jiaotong University) · Yue Gao (Tsinghua University, Tsinghua University) * **CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras**, Sachin Shah (University of Maryland, College Park) · Matthew Chan (Department of Computer Science, University of Maryland, College Park) · Haoming Cai (University of Maryland, College Park) · Jingxi Chen (University of Maryland College Park) · Sakshum Kulshrestha (University of Maryland, College Park) · Chahat Deep Singh (University of Maryland, College Park) · Yiannis Aloimonos (University of Maryland, College Park) · Christopher Metzler (University of Maryland, College Park) * **OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning**, Lingyi Hong, Shilin Yan, Renrui Zhang, Wanyun Li, Xinyu Zhou, Pinxue Guo, Kaixun Jiang, Yiting Chen, Jinglun Li, Zhaoyu Chen, Wenqiang Zhang [[Paper](https://arxiv.org/abs/2403.09634)] * **RTracker: Recoverable Tracking via PN Tree Structured Memory**, Yuqing Huang (Harbin Institute of Technology) · Xin Li (Peng Cheng Laboratory) · Zikun Zhou (Peng Cheng Laboratory) · Yaowei Wang (Pengcheng Laboratory) · Zhenyu He (Harbin Institute of Technology, Shenzhen) · Ming-Hsuan Yang (University of California at Merced) [[Paper]()] [[Code](https://github.com/NorahGreen/RTracker)] * **[New Benchmark Dataset and Baseline]** **Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline**, Xiao Wang (Anhui University) · Shiao Wang (None) · Chuanming Tang (University of Chinese Academy of Sciences) · Lin Zhu (Beijing Institute of Technology) · Bo Jiang (Anhui University) · Yonghong Tian (Peking University) · Jin Tang (Anhui University) [[Paper](https://arxiv.org/abs/2309.14611)] [[Code](https://github.com/Event-AHU/EventVOT_Benchmark)] [[DemoVideo](https://youtu.be/FcwH7tkSXK0?si=GHOG7rfw4-GFd9dz)] ### ICLR-2024 * Nie, Jiahao, et al. "**Towards Category Unification of 3D Single Object Tracking on Point Clouds.**" arXiv preprint arXiv:2401.11204 (2024). [[Paper](https://arxiv.org/pdf/2401.11204.pdf)] [[Code](https://github.com/Haooozi/CUTrack)] ### NIPS-2024 * **Reading Relevant Feature from Global Representation Memory for Visual Object Tracking**, Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang [[Paper](https://arxiv.org/abs/2402.14392)] ### AAAI-2024 * **ODTrack: Online Dense Temporal Token Learning for Visual Tracking**, Yaozong Zheng; Bineng Zhong; Qihua Liang; Zhiyi Mo; Shengping Zhang; Xianxian Li * **Robust 3D Tracking with Quality-Aware Shape Completion** Jingwen Zhang; Zikun Zhou; Guangming Lu; Jiandong Tian; Wenjie Pei * **Explicit Visual Prompts for Visual Object Tracking** Liangtao Shi; Bineng Zhong; Qihua Liang; Ning Li; Shengping Zhang; Xianxian Li * **Unifying Visual and Vision-Language Tracking via Contrastive Learning** Yinchao Ma; Yuyang Tang; Wenfei Yang; Tianzhu Zhang; Jinpeng Zhang; Mengxue Kang * **Modeling Continuous Motion for 3D Point Cloud Object Tracking** Zhipeng Luo; Gongjie Zhang; Changqing Zhou; Zhonghua Wu; Qingyi Tao; Lewei Lu; Shijian Lu * **Temporal Adaptive RGBT Tracking with Modality Prompt** Hongyu Wang; Xiaotao Liu; Yifan Li; Meng Sun; Dian Yuan; Jing Liu * **Sampling-Resilient Multi-Object Tracking** Zepeng Li; Dongxiang Zhang; Sai Wu; Mingli Song; Gang Chen * **DiffusionTrack: Diffusion Model for Multi-Object Tracking** Run Luo; Zikai Song; Lintao Ma; Jinlin Wei; Wei Yang; Min Yang * **Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking** Kun Hu; Wenjing Yang; Wanrong Huang; Xianchen Zhou; Mingyu Cao; Jing Ren; Huibin Tan * **CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM** Xiaohan Li; Dong Liu; Jun Wu * **Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking**, Yan Gao; Haojun Xu; Jie Li; Nannan Wang; Xinbo Gao * **Bi-directional Adapter for Multimodal Tracking** Bing Cao; Junliang Guo; Pengfei Zhu; Qinghua Hu * **M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking** Jiaming Liu; Yue Wu; Maoguo Gong; Qiguang Miao; Wenping Ma; Cai Xu; Can Qin * **KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking**, Liu Liu; Anran Huang; Qi Wu; Dan Guo; Xun Yang; Meng Wang * **SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking** Wang Yu Hsiang; Jun-Wei Hsieh; Ping-Yang Chen; Ming-Ching Chang; Hung Hin So; Xin Li * **UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation** Kefu Yi; Kai Luo; Xiaolei Luo; Jiangui Huang; Hao Wu; Rongdong Hu; Wei Hao * **Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking** Mingzhan Yang; Guangxin Han; Bin Yan; Wenhua Zhang; Jinqing Qi; Huchuan Lu; Dong Wang * **Generative-Based Fusion Mechanism for Multi-Modal Tracking** Zhangyong Tang; Tianyang Xu; Xiaojun Wu; Xue-Feng Zhu; Josef Kittler ### ICCV-2023 * **ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking**, [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Cheng_ReST_A_Reconfigurable_Spatial-Temporal_Graph_Model_for_Multi-Camera_Multi-Object_Tracking_ICCV_2023_paper.pdf)] [[Code](https://github.com/chengche6230/ReST)] * **Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers**, Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu * **PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework**, Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian Scherer, Hang Zhao, Changhong Fu [[Paper](https://openaccess.thecvf.com/content/ICCV2023/papers/Li_PVT_A_Simple_End-to-End_Latency-Aware_Visual_Tracking_Framework_ICCV_2023_paper.pdf)] * **Tracking by 3D Model Estimation of Unknown Objects in Videos**, Denys Rozumnyi, Jiří Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald * **TrackFlow: Multi-Object tracking with Normalizing Flows**, Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara * **A Fast Unified System for 3D Object Detection and Tracking**, Thomas Heitzinger, Martin Kampel * **MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency**, Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann * **Foreground-Background Distribution Modeling Transformer for Visual Object Tracking**, Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang * **Tracking Anything with Decoupled Video Segmentation**, Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee * **ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking**, Cheng-Che Cheng, Min-Xuan Qiu, Chen-Kuo Chiang, Shang-Hong Lai * **Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking**, Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng * **Humans in 4D: Reconstructing and Tracking Humans with Transformers**, Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik * **Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling**, Xiaozheng Zheng, Zhuo Su, Chao Wen, Zhou Xue, Xiaojie Jin * **PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking**, Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas * **MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking**, Ruopeng Gao, Limin Wang * **Robust Object Modeling for Visual Tracking**, Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu * **Delving into Motion-Aware Matching for Monocular 3D Object Tracking**, Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai * **Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation**, Yuanyou Xu, Zongxin Yang, Yi Yang * **3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking**, Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall * **Object-Centric Multiple Object Tracking**, Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao * **TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses**, Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li * **MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors**, Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang * **Tracking Everything Everywhere All at Once**, Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely * **SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes**, Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang * **Uncertainty-aware Unsupervised Multi-Object Tracking**, Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye * **Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking**, Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang * **Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking**, Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu * **DARTH: Holistic Test-time Adaptation for Multiple Object Tracking**, Mattia Segu, Bernt Schiele, Fisher Yu * **Multiple Planar Object Tracking**, Zhicheng Zhang, Shengzhe Liu, Jufeng Yang * **End-to-end 3D Tracking with Decoupled Queries**, Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez * **360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking**, Huajian Huang, Yinzhe Xu, Yingshu Chen, Sai-Kit Yeung * **Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning**, Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao ### CVPR-2023 * **Representation Learning for Visual Object Tracking by Masked Appearance Transfer**, Haojie Zhao · Dong Wang · Huchuan Lu [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhao_Representation_Learning_for_Visual_Object_Tracking_by_Masked_Appearance_Transfer_CVPR_2023_paper.pdf)] [[Code](https://github.com/difhnp/MAT)] * **Bridging Search Region Interaction with Template for RGB-T Tracking** Tianrui Hui · Zizheng Xun · Fengguang Peng · Junshi Huang · Xiaoming Wei · Xiaolin Wei · Jiao Dai · Jizhong Han · Si Liu [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Hui_Bridging_Search_Region_Interaction_With_Template_for_RGB-T_Tracking_CVPR_2023_paper.pdf)] [[Code](https://github.com/RyanHTR/TBSI)] * **ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data,** Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu [[Paper](https://arxiv.org/abs/2303.13885)] [[Code](https://arkittrack.github.io/)] * **Efficient RGB-T Tracking via Cross-Modality Distillation,** Tianlu Zhang · Hongyuan Guo · Qiang Jiao · Qiang Zhang · Jungong Han [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_Efficient_RGB-T_Tracking_via_Cross-Modality_Distillation_CVPR_2023_paper.pdf)] * **Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking**, Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li [[Paper](https://arxiv.org/pdf/2303.11791.pdf)] [[Code](https://againstentropy.github.io/NLOS-Track/)] * **Generalized Relation Modeling for Transformer Tracking**, Shenyuan Gao · Chunluan Zhou · Jun Zhang [[Paper](https://arxiv.org/pdf/2303.16580.pdf)] [[Code](https://github.com/Little-Podi/GRM)] * **Frame-Event Alignment and Fusion Network for High Frame Rate Tracking** Jiqing Zhang · Yuanchen Wang · Wenxi Liu · Meng Li · Jinpeng Bai · Baocai Yin · Xin Yang [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Zhang_Frame-Event_Alignment_and_Fusion_Network_for_High_Frame_Rate_Tracking_CVPR_2023_paper.pdf)] [[Code](https://github.com/Jee-King/AFNet)] * **Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses**, Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim [[Paper](https://arxiv.org/pdf/2303.08364.pdf)] [[Code](https://github.com/JunbongJang/contour-tracking/)] * **Autoregressive Visual Tracking**, Xing Wei · Yifan Bai · Yongchao Zheng · Dahu Shi · Yihong Gong [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Wei_Autoregressive_Visual_Tracking_CVPR_2023_paper.pdf)] [[Code](https://www.youtube.com/watch?v=fOkpG5SNaX0&ab_channel=WhiteEvan)] * **Resource-Efficient RGBD Aerial Tracking**, Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Ales Leonardis [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Yang_Resource-Efficient_RGBD_Aerial_Tracking_CVPR_2023_paper.pdf)] [[Code](https://github.com/yjybuaa/RGBDAerialTracking)] * **Tracking through Containers and Occluders in the Wild** Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Van_Hoorick_Tracking_Through_Containers_and_Occluders_in_the_Wild_CVPR_2023_paper.pdf)] [[Code](tcow.cs.columbia.edu)] * **Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking**, Ziqi Pang · Jie Li · Pavel Tokmakov · Dian Chen · Sergey Zagoruyko · Yu-Xiong Wang [[Paper](https://arxiv.org/pdf/2302.03802.pdf)] [[Code](https://github.com/TRI-ML/PF-Track)] * **Unifying Short and Long-Term Tracking with Graph Hierarchies,** Orcun Cetintas · Guillem Braso · Laura Leal-Taixé [[Paper](https://arxiv.org/pdf/2212.03038.pdf)] [[Code](https://github.com/dvl-tum/SUSHI)] * **VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking** , Yukang Chen · Jianhui Liu · Xiangyu Zhang · XIAOJUAN QI · Jiaya Jia [[Paper](https://arxiv.org/pdf/2303.11301.pdf)] [[Code](https://github.com/dvlab-research/VoxelNeXt)] * **Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking**, Xiongbiao Luo [[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Luo_Constrained_Evolutionary_Diffusion_Filter_for_Monocular_Endoscope_Tracking_CVPR_2023_paper.pdf)] * **DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks**, Qiangqiang Wu · Tianyu Yang · Ziquan Liu · Baoyuan Wu · Ying Shan · Antoni Chan, [[Paper](https://arxiv.org/pdf/2304.00571.pdf)] [[Code](https://github.com/jimmy-dq/DropMAE)] * **CXTrack: Improving 3D Point Cloud Tracking with Contextual Information**, Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang [[Paper](https://arxiv.org/pdf/2211.08542.pdf)] [[Code](https://github.com/slothfulxtx/cxtrack3d)] * **Data-driven Feature Tracking for Event Cameras**, Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza [[Paper](https://arxiv.org/pdf/2211.12826.pdf)] [[Code](https://github.com/uzh-rpg/deep_ev_tracker)] [[DemoVideo](https://www.youtube.com/watch?v=dtkXvNXcWRY&ab_channel=UZHRoboticsandPerceptionGroup)] * **"SeqTrack: Sequence to Sequence Learning for Visual Object Tracking."** Chen, Xin, et al. CVPR 2023 [[Paper](https://arxiv.org/abs/2304.14394)] [[Code](https://github.com/microsoft/VideoX/tree/master/SeqTrack)] * **DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks**, Qiangqiang Wu Tianyu Yang* Ziquan Liu Baoyuan Wu Ying Shan Antoni B. Chan, cvpr-2023 [[Paper]](https://arxiv.org/pdf/2304.00571.pdf) [[Code]](https://github.com/jimmy-dq/DropMAE) * **Generalized Relation Modeling for Transformer Tracking**, Shenyuan Gao, Chunluan Zhou, Jun Zhang [[Paper](https://arxiv.org/pdf/2303.16580v1.pdf)] [[Code](https://github.com/Little-Podi/GRM)] * **ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data**, [[Paper](https://arxiv.org/pdf/2303.13885.pdf)] [[Code](https://arkittrack.github.io/)] * **Joint Visual Grounding and Tracking with Natural Language Specification**, Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He [[Paper](https://arxiv.org/pdf/2303.12027.pdf)] [[Code](https://github.com/lizhou-cs/JointNLT)] * **Visual Prompt Multi-Modal Tracking**, Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu [[Paper](https://arxiv.org/pdf/2303.10826.pdf)] [[Code](https://github.com/jiawen-zhu/ViPT)] * **Universal Instance Perception as Object Discovery and Retrieval**, Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu [[Paper](https://arxiv.org/pdf/2303.06674.pdf)] [[Code](https://github.com/MasterBin-IIAU/UNINEXT)] ### ICML-2022 * **UAST: Uncertainty-Aware Siamese Tracking**, Dawei Zhang 1 Yanwei Fu 2 Zhonglong Zheng, [[Paper](https://proceedings.mlr.press/v162/zhang22g/zhang22g.pdf)] ### NIPS-2022 * **Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds**, Zhiyu ZHU, Junhui HOU, Xianqiang LYU [[Paper](https://openreview.net/pdf?id=hTxYJAKY85)] [[Code](https://github.com/ZHU-Zhiyu/Event-tracking)] * **TAP-Vid: A Benchmark for Tracking Any Point in a Video**, Doersch, Carl, et al. [[Paper](https://arxiv.org/pdf/2211.03726.pdf)] [[Code](https://github.com/deepmind/tapnet)] * **Divert More Attention to Vision-Language Tracking**, Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, [[Paper](https://arxiv.org/abs/2207.01076)] [[Code](https://github.com/JudasDie/SOTS)] * **APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking**, Yuxiang Yang, Junjie Yang, Yufei Xu, Jing Zhang, Long Lan, Dacheng Tao [[Paper](https://arxiv.org/pdf/2206.05683.pdf)] [[Code](https://github.com/pandorgan/APT)] * **SwinTrack: A Simple and Strong Baseline for Transformer Tracking**, Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling [[Paper](https://arxiv.org/pdf/2112.00995)] [[Code](https://github.com/LitingLin/SwinTrack)] ### ECCV-2022 * **Towards Grand Unification of Object Tracking**, Bin Yan1⋆, Yi Jiang2,†, Peize Sun3, Dong Wang1,†,Zehuan Yuan2, Ping Luo3, and Huchuan Lu [[Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136810724.pdf)] [[Code](https://github.com/MasterBin-IIAU/Unicorn)] * **AiATrack: Attention in Attention for Transformer Visual Tracking**, Shenyuan Gao1, Chunluan Zhou2, Chao Ma3, Xinggang Wang1, Junsong Yuan [[Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136820141.pdf)] [[Code](https://github.com/Little-Podi/AiATrack)] * **Hierarchical Feature Embedding for Visual Tracking**, Zhixiong Pi1∗, Weitao Wan2, Chong Sun2, Changxin Gao1,Nong Sang1†, and Chen Li [[Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136820418.pdf)] [[Code](https://github.com/zxgravity/CIA)] * **SpOT: Spatiotemporal Modeling for 3D Object Tracking**, Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J Guibas [[Paper](https://arxiv.org/abs/2207.05856)] * **Robust Visual Tracking by Segmentation**, Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool [[Paper](https://arxiv.org/abs/2203.11191)] [[Code](https://github.com/visionml/pytracking)] * **Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories**, Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki [[Paper](https://arxiv.org/abs/2204.04153)] [[Project](https://particle-video-revisited.github.io/)] [[Code](https://github.com/aharley/pips)] * **Graph Neural Network for Cell Tracking in Microscopy Videos**, Tal Ben-Haim (School of Electrical and Computer Engineering, Ben-Gurion University)*; Tammy Riklin Raviv (BGU), [[Paper](https://arxiv.org/pdf/2202.04731.pdf)] [[Code](https://github.com/talbenha/cell-tracker-gnn)] * **Towards generic 3D tracking in RGBD videos: benchmark and baseline.** Yang, J, Zhang, Z, Li, Z, Chang, HJ, Leonardis, A & Zheng, F 2022, in European Conference on Computer Vision. 17th European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 24/10/22. [[Paper](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136820108.pdf)] [[Github](https://github.com/yjybuaa/Track-it-in-3D)] * "**Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking**." Chen, Boyu, et al. arXiv preprint arXiv:2203.05328 (2022). [[Paper](https://arxiv.org/pdf/2203.05328.pdf)] [[Code](https://github.com/LPXTT/SimTrack)] * **Towards Sequence-Level Training for Visual Tracking**, Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho [[Paper](https://arxiv.org/pdf/2208.05810.pdf)] [[Code](https://github.com/byminji/SLTtrack)] * **3D Siamese Transformer Network for Single Object Tracking on Point Clouds**, Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie⋆ , and Jian Yang, [[Paper](https://arxiv.org/pdf/2207.11995.pdf)] [[Code](https://github.com/fpthink/STNet)] * **CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds**, Guo, Zhiyang and Mao, Yunyao and Zhou, Wengang and Wang, Min and Li, Houqiang, ECCV-2022, [[Paper]] [[Code](https://github.com/jasongzy/CMT)] ### IJCAI 2022 * **SparseTT: Visual Tracking with Sparse Transformers**, Zhihong Fu , Zehua Fu , Qingjie Liu, Wenrui Cai, Yunhong Wang, [[Paper](https://arxiv.org/pdf/2205.03776.pdf)] [[Code](https://github.com/fzh0917/SparseTT)] * **Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking**, Ilchae Jung, et al. [[Paper](https://arxiv.org/pdf/2205.11179.pdf)] * **Learning Target-aware Representation for Visual Tracking via Informative Interactions**, Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu [[Paper](https://arxiv.org/abs/2201.02526)] * **Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking**, Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han [[Paper](https://arxiv.org/abs/2205.11179)] ### CVPR-2022 * **Ranking-Based Siamese Visual Tracking**, Feng Tang, Qiang Ling, [[Paper](https://github.com/sansanfree/RBO)] * **CSWinTT**: **Transformer Tracking with Cyclic Shifting Window Attention**, Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang [[Paper](https://arxiv.org/abs/2205.03806)] [[Code](https://github.com/SkyeSong38/CSWinTT)] * **Global Tracking via Ensemble of Local Trackers**, Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, and Zhenyu He, [[Paper](https://arxiv.org/pdf/2203.16092.pdf)] [[Code](https://github.com/ZikunZhou/GTELT)] * **Unified Transformer Tracker for Object Tracking**, Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan [[Paper](https://arxiv.org/pdf/2203.15175.pdf)] [[Code]()] * **STNet**: **Spiking Transformers for Event-based Single Object Tracking**, Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhang_Spiking_Transformers_for_Event-Based_Single_Object_Tracking_CVPR_2022_paper.pdf)] [[Project](https://zhangjiqing.com/publication/stnet/)] [[Code](https://github.com/Jee-King/CVPR2022_STNet)] * **ToMP: Transforming Model Prediction for Tracking**, Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool [[Paper](https://arxiv.org/abs/2203.11192)] [[Code](https://github.com/visionml/pytracking)] * **TCTrack**: **Temporal Contexts for Aerial Tracking**, Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu, [[Paper](https://arxiv.org/pdf/2203.01885.pdf)] [[Code](https://github.com/vision4robotics/TCTrack)] * **Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds**, Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li, [[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Zheng_Beyond_3D_Siamese_Tracking_A_Motion-Centric_Paradigm_for_3D_Single_CVPR_2022_paper.pdf)] [[Code](https://github.com/Ghostish/Open3DSOT)] * **Correlation-Aware Deep Tracking**, Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng [[Paper](https://arxiv.org/pdf/2203.01666.pdf)] * **Unsupervised Learning of Accurate Siamese Tracking**, Qiuhong Shen; Lei Qiao; Jinyang Guo; Peixia Li; Xin Li; Bo Li; Weitao Feng; Weihao Gan; Wei Wu; Wanli Ouyang, [[Paper](https://arxiv.org/abs/2204.01475)] [[Code](https://github.com/FlorinShum/ULAST)] * **PTTR: Relational 3D Point Cloud Object Tracking With Transformer**, Changqing Zhou; Zhipeng Luo; Yueru Luo; Tianrui Liu; Liang Pan; Zhongang Cai; Haiyu Zhao; Shijian Lu [[Paper](https://arxiv.org/abs/2112.02857)] * **Global Tracking Transformers**, Xingyi Zhou; Tianwei Yin; Vladlen Koltun; Philipp Krähenbühl, [[Paper](https://arxiv.org/abs/2203.13250)] * **Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline**, Pengyu Zhang; Jie Zhao; Dong Wang; Huchuan Lu; Xiang Ruan [[Paper](https://arxiv.org/abs/2204.04120)] * **Unsupervised Domain Adaptation for Nighttime Aerial Tracking,** Junjie Ye; Changhong Fu; Guangze Zheng; Danda Pani Paudel; Guang Chen [[Paper](https://arxiv.org/abs/2203.10541)] * **MixFormer: End-to-End Tracking With Iterative Mixed Attention**, Yutao Cui; Cheng Jiang; Limin Wang; Gangshan Wu, [[Paper](https://arxiv.org/abs/2203.10541)] * **Opening up Open-World Tracking,** Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé [[Paper](https://arxiv.org/abs/2104.11221)] ### AAAI-2022 [[All Paper List](https://aaai.org/Conferences/AAAI-22/wp-content/uploads/2021/12/AAAI-22_Accepted_Paper_List_Main_Technical_Track.pdf)] * Homography Decomposition Networks for Planar Object Tracking, Xinrui Zhan, Yueran Liu, jianke Zhu, Yang Li, [[Paper](https://arxiv.org/pdf/2112.07909.pdf)] [[Code](https://github.com/zhanxinrui/HDN)] * **Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark**, Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai [[Paper](https://arxiv.org/abs/2111.04264)] * **Attribute-based Progressive Fusion Network for RGBT Tracking**, Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang [[Paper](https://www.aaai.org/AAAI22Papers/AAAI-7747.XiaoY.pdf)] [[Code](https://github.com/mmic-lcl/source-code)] * Park, Minseong, et al. "**Graph-Based Point Tracker for 3D Object Tracking in Point Clouds**." AAAI-2022, [[Paper](https://www.aaai.org/AAAI22Papers/AAAI-5325.ParkM.pdf)] * Koh, Junho, et al. "**Joint 3d object detection and tracking using spatio-temporal representation of camera image and lidar point clouds.**" Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 36. No. 1. 2022. [[Paper](https://ojs.aaai.org/index.php/AAAI/article/view/20007/19766)] ### ICCV-2021 * **LTM**： **Learn to Match: Automatic Matching Network Design for Visual Tracking**， Zhang Zhipeng, Liu Yihao, Wang Xiao, Li Bing, Hu Weiming, [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zhang_Learn_To_Match_Automatic_Matching_Network_Design_for_Visual_Tracking_ICCV_2021_paper.pdf)] [[Code](https://github.com/JudasDie/SOTS)] * **KeepTrack**: Mayer, Christoph, et al. "Learning target candidate association to keep track of what not to track." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Mayer_Learning_Target_Candidate_Association_To_Keep_Track_of_What_Not_ICCV_2021_paper.pdf)] [[Code](https://github.com/visionml/pytracking)] * **ABA**: Learning to Adversarially Blur Visual Object Tracking, Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao, [[Paper](https://arxiv.org/pdf/2107.12085.pdf)] [[Code](https://github.com/tsingqguo/ABA)] * **Stark**: **Learning Spatio-Temporal Transformer for Visual Tracking.** ICCV, 2021.
Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. [[Paper](https://arxiv.org/abs/2103.17154)][[Code](https://github.com/researchmm/Stark)] * **HiFT**: **Hierarchical Feature Transformer for Aerial Tracking.** ICCV, 2021.
Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li. [[Paper](https://arxiv.org/abs/2108.00202)][[Code]( https://github.com/vision4robotics/HiFT)] * **SAOT**: **Saliency-Associated Object Tracking.** ICCV, 2021.
Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He. [[Paper](https://arxiv.org/abs/2108.03637)][[Code](https://github.com/ZikunZhou/SAOT.git)] * **Video Annotation for Visual Tracking via Selection and Refinement.** ICCV, 2021.
Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang. [[Paper](https://arxiv.org/abs/2108.03821)][[Code]()] * **Object Tracking by Jointly Exploiting Frame and Event Domain**, Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong, ICCV 2021 [[Project](https://zhangjiqing.com/dataset/)] [[Video](https://www.youtube.com/watch?v=EeMRO8XVv04&ab_channel=JiqingZhang)] * Yu, Bin, et al. "**High-Performance Discriminative Tracking With Transformers**." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yu_High-Performance_Discriminative_Tracking_With_Transformers_ICCV_2021_paper.pdf)] * Yan, Song, et al. "**DepthTrack: Unveiling the Power of RGBD Tracking.**" Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Yan_DepthTrack_Unveiling_the_Power_of_RGBD_Tracking_ICCV_2021_paper.pdf)] [[Dataset and Code](https://github.com/xiaozai/DeT)] * Fan, Heng, et al. **"Transparent object tracking benchmark."** Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021, [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Fan_Transparent_Object_Tracking_Benchmark_ICCV_2021_paper.pdf)] * Zheng, Chaoda, et al. "**Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds**." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Zheng_Box-Aware_Feature_Enhancement_for_Single_Object_Tracking_on_Point_Clouds_ICCV_2021_paper.pdf)] [[Code](https://github.com/Ghostish/BAT)] * Wang, Zhoutao, et al. "**MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking.**" Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Wang_MLVSNet_Multi-Level_Voting_Siamese_Network_for_3D_Visual_Tracking_ICCV_2021_paper.pdf)] [[Code](https://github.com/CodeWZT/MLVSNet)] ### CVPR-2021 * **TNL2K**: **Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark，** Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu [[Paper](https://arxiv.org/pdf/2103.16746.pdf)] [[Project](https://sites.google.com/view/langtrackbenchmark/)] [[TNL2K-BaiduYun (Code: pclt)](https://pan.baidu.com/s/1p7WR20szGLc9gitZOI0wkw)] [[SOT Paper List](https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List)] [[Benchmark-Results](https://stuahueducn-my.sharepoint.com/:u:/g/personal/e16101002_stu_ahu_edu_cn/EaXwUHLr01RGoNEgqAW5nXABJ1FiHap7X6zCuPJfszJlSg?e=4owRLa)] [[Demo Video (Youtube)](https://www.youtube.com/watch?v=7lvVDlkkff0&ab_channel=XiaoWang)] * **TransformerTrack**: **Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking, **Wang, Ning and Zhou, Wengang and Wang, Jie and Li, Houqiang [[Paper](https://arxiv.org/abs/2103.11681)] [[Code](https://github.com/594422814/TransformerTrack)] * **TransT**: **Transformer Tracking**, [[Paper](https://arxiv.org/abs/2103.15436)] [[Code](https://github.com/chenxin-dlut/TransT)] * **SNLT**: **Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers** [[Paper](https://arxiv.org/pdf/1912.02048.pdf)] [[Code](https://github.com/fredfung007/snlt)] * **IoU Attack**: **Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking,** Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang, [[Paper](https://arxiv.org/pdf/2103.14938.pdf)] [[Code](https://github.com/VISION-SJTU/IoUattack)] * **Rotation Equivariant Siamese Networks for Tracking,** Deepak K. Gupta, Devanshu Arya, Efstratios Gavves, [[Paper](https://arxiv.org/abs/2012.13078)] [[Code](https://github.com/dkgupta90/re-siamnet)] * **SiamGAT**: **Graph Attention Tracking**, Guo, Dongyan and Shao, Yanyan and Cui, Ying and Wang, Zhenhua and Zhang, Liyan and Shen, Chunhua [[Paper](https://arxiv.org/pdf/2011.11204.pdf)] [[Code](https://github.com/ohhhyeahhh/SiamGAT)] * **STMTrack**: **Template-free Visual Tracking with Space-time Memory Networks**, Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang [[Paper](https://arxiv.org/abs/2104.00324)] [[Code](https://github.com/fzh0917/STMTrack)] * **Alpha-Refine**: **Boosting Tracking Performance by Precise Bounding Box Estimation,** Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang, CVPR2021 [[Paper](https://arxiv.org/abs/2012.06815)] [[Code](https://github.com/MasterBin-IIAU/AlphaRefine)] * **LightTrack**: **Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search,** Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu, CVPR2021 [[Paper]()] [[Code](https://github.com/researchmm/LightTrack)] * **Progressive Unsupervised Learning for Visual Object Tracking**, Qiangqiang Wu, Jia Wan, Antoni B. Chan [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Wu_Progressive_Unsupervised_Learning_for_Visual_Object_Tracking_CVPR_2021_paper.pdf)] * **MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking,** Jennifer Jang, Heinrich Jiang [[Paper](https://arxiv.org/pdf/2104.00303.pdf)] * **Learning To Filter: Siamese Relation Network for Robust Tracking,** Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang, [[Paper](Learning to Filter: Siamese Relation Network for Robust Tracking)] [[Code](https://github.com/hqucv/siamrn)] * **Polygonal Point Set Tracking** Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Nam_Polygonal_Point_Set_Tracking_CVPR_2021_paper.pdf)] * **Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark** Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu, [[Paper](https://arxiv.org/pdf/2105.02440.pdf)] [[Code](https://github.com/VisDrone/DroneCrowd)] * **CapsuleRRT: Relationships-Aware Regression Tracking via Capsules** Ding Ma, Xiangqian Wu [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Ma_CapsuleRRT_Relationships-Aware_Regression_Tracking_via_Capsules_CVPR_2021_paper.pdf)] * **Track, Check, Repeat: An EM Approach to Unsupervised Tracking** Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki, [[Paper](https://arxiv.org/pdf/2104.03424.pdf)] * **Learning To Fuse Asymmetric Feature Maps in Siamese Trackers** Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen, [[Paper](https://arxiv.org/pdf/2012.02776.pdf)] [[Code](https://github.com/wencheng256/SiamBAN-ACM)] * **DMTrack**: Zhang, Zikai, et al. "**Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy."** Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021. [[Paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_Distractor-Aware_Fast_Tracking_via_Dynamic_Convolutions_and_MOT_Philosophy_CVPR_2021_paper.pdf)] [[Code](https://github.com/hqucv/dmtrack)] ### NeurIPS 2021 * Hui, Le, et al. "**3d siamese voxel-to-bev tracker for sparse point clouds.**" Advances in Neural Information Processing Systems 34 (2021): 28714-28727. [[Paper](https://proceedings.neurips.cc/paper/2021/file/f0fcf351df4eb6786e9bb6fc4e2dee02-Paper.pdf)] [[Code](https://github.com/fpthink/V2B)] ### AAAI2021 * **Model Uncertainty Guides Visual Object Tracking**, Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft [[Paper](https://ojs.aaai.org/index.php/AAAI/article/view/16473)] * **Towards Universal Physical Attacks on Single Object Tracking**, Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang [[Paper](https://www.aaai.org/AAAI21Papers/AAAI-2606.DingL.pdf)] * **Visual Tracking via Hierarchical Deep Reinforcement Learning**, Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li [[Paper](https://www.aaai.org/AAAI21Papers/AAAI-3094.ZhangD.pdf)] * **A Unified Multi-Scenario Attacking Network for Visual Object Tracking,** Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi [[Paper](https://ojs.aaai.org/index.php/AAAI/article/view/16195)] ### NIPS2020 * ke Song· Wei Zhang · Ran Song · Yibin Li, **Online Decision Based Visual Tracking via Reinforcement Learning,** [[Paper](https://proceedings.neurips.cc//paper/2020/file/885b2c7a6deb4fea10f319c4ce993e02-Paper.pdf)] [[Project](https://vsislab.github.io/DTNet/)] [[Code]()] ### IJCAI-2020 * **TLPG-Tracker**: **Joint Learning of Target Localization and Proposal Generation for Visual Tracking**, Li, S., Zhang, Z., Liu, Z., Wang, A., Qiu, L., & Du, F. [[Paper](https://www.ijcai.org/Proceedings/2020/0099.pdf)] ### ECCV2020 * **SPARK:** Guo, Qing, et al. **"SPARK: Spatial-aware online incremental attack against visual tracking."** [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700205.pdf)] * **PCT:** Kang Il Lee, Jung Ho Jeon and Byung Cheol Song, **Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System** [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640035.pdf)] * **RTAA:** Shuai Jia, Chao Ma, Yibing Song, and Xiaokang Yang, **Robust Tracking against Adversarial Attacks**, [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123640069.pdf)] [[Code](https://github.com/joshuajss/RTAA)] * **Ocean:** Zhang et al. **Ocean: Object-aware Anchor-free Tracking,** [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660766.pdf)] [[Code](https://github.com/researchmm/TracKit)] * Liu et al. **Object Tracking using Spatio-Temporal Networks for Future Prediction Location**, [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670001.pdf)] * Li et al.** Challenge-Aware RGBT Tracking** [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670222.pdf)] * **PG-Net:** Liao et al. **PG-Net: Pixel to Global Matching Network for Visual Tracking** [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670426.pdf)] * **KYS:** Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte, Know Your Surroundings: Exploiting Scene Information for Object Tracking [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123680205.pdf)] [[Code](https://github.com/visionml/pytracking)] * **FAN:** Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao, Efficient Adversarial Attacks for Visual Object Tracking, [[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123710035.pdf)] ### CVPR2020 * **SiamCAR:** SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Guo_SiamCAR_Siamese_Fully_Convolutional_Classification_and_Regression_for_Visual_Tracking_CVPR_2020_paper.pdf)] [[Code](https://github.com/ohhhyeahhh/SiamCAR)] * **LTMU:** High-Performance Long-Term Tracking With Meta-Updater
Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Dai_High-Performance_Long-Term_Tracking_With_Meta-Updater_CVPR_2020_paper.pdf)] [[Code](https://github.com/Daikenan/LTMU)] * **???:** Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking, Peiliang Li, Jieqi Shi, Shaojie Shen [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Joint_Spatial-Temporal_Optimization_for_Stereo_3D_Object_Tracking_CVPR_2020_paper.pdf)] * **P2B** P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Qi_P2B_Point-to-Box_Network_for_3D_Object_Tracking_in_Point_Clouds_CVPR_2020_paper.pdf)] [[Code](https://github.com/HaozheQi/P2B)] * **???:** Correlation-Guided Attention for Corner Detection Based Visual Tracking Fei Du, Peng Liu, Wei Zhao, Xianglong Tang [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Du_Correlation-Guided_Attention_for_Corner_Detection_Based_Visual_Tracking_CVPR_2020_paper.pdf)] * **???:** One-Shot Adversarial Attacks on Visual Tracking With Dual Attention, Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_One-Shot_Adversarial_Attacks_on_Visual_Tracking_With_Dual_Attention_CVPR_2020_paper.pdf)] * **FTMU:** Fast Template Matching and Update for Video Object Tracking and Segmentation Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Sun_Fast_Template_Matching_and_Update_for_Video_Object_Tracking_and_CVPR_2020_paper.pdf)] [[Code](https://github.com/insomnia94/FTMU)] * **???:** Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking Jin Gao, Weiming Hu, Yan Lu [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Gao_Recursive_Least-Squares_Estimator-Aided_Online_Learning_for_Visual_Tracking_CVPR_2020_paper.pdf)] * **3D-ZeF** 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund [[Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Pedersen_3D-ZeF_A_3D_Zebrafish_Tracking_Benchmark_Dataset_CVPR_2020_paper.pdf)] [[Dataset](https://vap.aau.dk/3d-zef/)] * **MAML:** Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng.
"Tracking by Instance Detection: A Meta-Learning Approach." CVPR (2020 **Oral**). [[paper](https://arxiv.org/pdf/2004.00830v1.pdf)] * **Siam R-CNN:** Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe.
"Siam R-CNN: Visual Tracking by Re-Detection." CVPR (2020). [[paper](https://arxiv.org/pdf/1911.12836.pdf)] [[code](https://www.vision.rwth-aachen.de/page/siamrcnn)] * **D3S:** Alan Lukežič, Jiří Matas, Matej Kristan.
"D3S – A Discriminative Single Shot Segmentation Tracker." CVPR (2020). [[paper](http://arxiv.org/pdf/1911.08862v2.pdf)] [[code](https://github.com/alanlukezic/d3s)] * **PrDiMP:** Martin Danelljan, Luc Van Gool, Radu Timofte.
"Probabilistic Regression for Visual Tracking." CVPR (2020). [[paper](https://arxiv.org/pdf/2003.12565v1.pdf)] [[code](https://github.com/visionml/pytracking)] * **ROAM:** Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan.
"ROAM: Recurrently Optimizing Tracking Model." CVPR (2020). [[paper](https://arxiv.org/pdf/1907.12006v3.pdf)] [[Code](https://github.com/skyoung/ROAM)] [[Author-Homepage](https://tianyu-yang.com/)] * **AutoTrack:** Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu.
"AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization." CVPR (2020). [[paper](https://arxiv.org/pdf/2003.12949.pdf)] [[code](https://github.com/vision4robotics/AutoTrack)] * **SiamBAN:** Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji.
"Siamese Box Adaptive Network for Visual Tracking." CVPR (2020). [[paper](http://arxiv.org/pdf/1911.08862v2.pdf)] [[code](https://github.com/hqucv/siamban)] * **SiamAttn:** Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott.
"Deformable Siamese Attention Networks for Visual Object Tracking." CVPR (2020). [[paper](https://arxiv.org/pdf/2004.06711v1.pdf)] * **CGACD:** Fei Du, Peng Liu, Wei Zhao, Xianglong Tang.
"Correlation-Guided Attention for Corner Detection Based Visual Tracking." CVPR (2020). ### AAAI 2020 * **SiamFC++:** Yinda Xu, Zeyu Wang, Zuoxin Li, Ye Yuan, Gang Yu.
"SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines." AAAI (2020). [[paper](https://arxiv.org/pdf/1911.06188v4.pdf)] [[code](https://github.com/MegviiDetection/video_analyst)] * **GlobalTrack:** Huang, Lianghua, Xin Zhao, and Kaiqi Huang.
"GlobalTrack: A simple and strong baseline for long-term tracking." AAAI (2020). [[Paper](https://arxiv.org/pdf/1912.08531.pdf)] [[Code](https://github.com/huanglianghua/GlobalTrack)] * **DROL** Discriminative and Robust Online Learning for Siamese Visual Tracking, Jinghao Zhou, Peng Wang, Haoyang Sun[[Paper](https://arxiv.org/pdf/1909.02959.pdf)] [[Code](https://github.com/shallowtoil/DROL)] ### ICCV2019 * **???:** Deformable Surface Tracking by Graph Matching, Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou, [[Paper](https://openaccess.thecvf.com/content_ICCV_2019/papers/Wang_Deformable_Surface_Tracking_by_Graph_Matching_ICCV_2019_paper.pdf)] * **:** Deep Meta Learning for Real-Time Target-Aware Visual Tracking, Janghoon Choi, Junseok Kwon, Kyoung Mu Lee [[Paper](https://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Deep_Meta_Learning_for_Real-Time_Target-Aware_Visual_Tracking_ICCV_2019_paper.pdf)] * **DiMP:** Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
"Learning Discriminative Model Prediction for Tracking." ICCV (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf)] [[code](https://github.com/visionml/pytracking)] * **GradNet:** Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu.
"GradNet: Gradient-Guided Network for Visual Object Tracking." ICCV (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.pdf)] [[code](https://github.com/LPXTT/GradNet-Tensorflow)] * **MLT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee.
"Deep Meta Learning for Real-Time Target-Aware Visual Tracking." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Deep_Meta_Learning_for_Real-Time_Target-Aware_Visual_Tracking_ICCV_2019_paper.pdf)] * **SPLT:** Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang
"'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Skimming-Perusal_Tracking_A_Framework_for_Real-Time_and_Robust_Long-Term_Tracking_ICCV_2019_paper.pdf)] [[code](https://github.com/iiau-tracker/SPLT)] * **ARCF:** Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu.
"Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Learning_Aberrance_Repressed_Correlation_Filters_for_Real-Time_UAV_Tracking_ICCV_2019_paper.pdf)] [[code](https://github.com/vision4robotics/ARCF-tracker)] * Lianghua Huang, Xin Zhao, Kaiqi Huang.
"Bridging the Gap Between Detection and Tracking: A Unified Approach." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Bridging_the_Gap_Between_Detection_and_Tracking_A_Unified_Approach_ICCV_2019_paper.pdf)] * **UpdateNet:** Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan.
"Learning the Model Update for Siamese Trackers." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhang_Learning_the_Model_Update_for_Siamese_Trackers_ICCV_2019_paper.pdf)] [[code](https://github.com/zhanglichao/updatenet)] * **PAT:** Rey Reza Wiyatno, Anqi Xu.
"Physical Adversarial Textures That Fool Visual Object Tracking." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wiyatno_Physical_Adversarial_Textures_That_Fool_Visual_Object_Tracking_ICCV_2019_paper.pdf)] * **GFS-DCF:** Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler.
"Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Xu_Joint_Group_Feature_Selection_and_Discriminative_Filter_Learning_for_Robust_ICCV_2019_paper.pdf)] [[code](https://github.com/XU-TIANYANG/GFS-DCF)] * **CDTB:** Alan Lukežič, Ugur Kart, Jani Käpylä, Ahmed Durmush, Joni-Kristian Kämäräinen, Jiří Matas, Matej Kristan.
"CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark." ICCV (2019). [[paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Lukezic_CDTB_A_Color_and_Depth_Visual_Object_Tracking_Dataset_and_ICCV_2019_paper.pdf)] * **VOT2019:** Kristan, Matej, et al.
"The Seventh Visual Object Tracking VOT2019 Challenge Results." ICCV workshops (2019). [[paper](http://openaccess.thecvf.com/content_ICCVW_2019/papers/VOT/Kristan_The_Seventh_Visual_Object_Tracking_VOT2019_Challenge_Results_ICCVW_2019_paper.pdf)] ### CVPR2019 * **SiamMask:** Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr.
"Fast Online Object Tracking and Segmentation: A Unifying Approach." CVPR (2019). [[paper](https://arxiv.org/pdf/1812.05050.pdf)] [[project](http://www.robots.ox.ac.uk/~qwang/SiamMask/)] [[code](https://github.com/foolwood/SiamMask)] * **SiamRPN++:** Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan.
"SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks." CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)] [[project](http://bo-li.info/SiamRPN++/)] * **ATOM:** Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
"ATOM: Accurate Tracking by Overlap Maximization." CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf)] [[code](https://github.com/visionml/pytracking)] * **SiamDW:** Zhipeng Zhang, Houwen Peng.
"Deeper and Wider Siamese Networks for Real-Time Visual Tracking." CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)] [[code](https://github.com/researchmm/SiamDW)] * **GCT:** Junyu Gao, Tianzhu Zhang, Changsheng Xu.
"Graph Convolutional Tracking." CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.pdf)] [[Code](http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/JY_Gao_files/code_GCT.zip)] [[Project](http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html)] * **ASRCF:** Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li.
"Visual Tracking via Adaptive Spatially-Regularized Correlation Filters." CVPR (2019 **oral**). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.pdf)] [[code](https://github.com/Daikenan/ASRCF)] * **UDT:** Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li.
"Unsupervised Deep Tracking." CVPR (2019). [[paper](https://arxiv.org/pdf/1904.01828.pdf)] [[code](https://github.com/594422814/UDT)] * **TADT:** Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang.
"Target-Aware Deep Tracking." CVPR (2019). [[paper](https://arxiv.org/pdf/1904.01772.pdf)] [[project](https://xinli-zn.github.io/TADT-project-page/)] [[code](https://github.com/XinLi-zn/TADT)] * **C-RPN:** Heng Fan, Haibin Ling.
"Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking." CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)] * **SPM:** Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng.
"SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking." CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.pdf)] * **OTR:** Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas.
"Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters." CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf)] [[code](https://github.com/ugurkart/OTR)] * **RPCF:** Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He.
"ROI Pooled Correlation Filters for Visual Tracking." CVPR (2019). [[paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.pdf)] * **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling.
"LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking." CVPR (2019). [[paper](https://arxiv.org/pdf/1809.07845.pdf)] [[project](https://cis.temple.edu/lasot/)] ### AAAI2019 * **LDES:** Yang Li, Jianke Zhu, Steven C.H. Hoi, Wenjie Song, Zhefeng Wang, Hantang Liu.
"Robust Estimation of Similarity Transformation for Visual Object Tracking." AAAI (2019). [[paper](https://arxiv.org/pdf/1712.05231.pdf)] [[code](https://github.com/ihpdep/LDES)] ### NIPS2018 * **DAT:** Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang.
"Deep Attentive Tracking via Reciprocative Learning." NIPS (2018). [[paper](https://arxiv.org/pdf/1810.03851.pdf)] [[project](https://ybsong00.github.io/nips18_tracking/index)] [[code](https://github.com/shipubupt/NIPS2018)] ### ECCV2018 * **UPDT:** Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg.
"Unveiling the Power of Deep Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Goutam_Bhat_Unveiling_the_Power_ECCV_2018_paper.pdf)] * **DaSiamRPN:** Zheng Zhu, Qiang Wang, Bo Li, Wu Wei, Junjie Yan, Weiming Hu.
"Distractor-aware Siamese Networks for Visual Object Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Zheng_Zhu_Distractor-aware_Siamese_Networks_ECCV_2018_paper.pdf)] [[github](https://github.com/foolwood/DaSiamRPN)] * **SACF:** Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank.
"Visual Tracking via Spatially Aligned Correlation Filters Network." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/mengdan_zhang_Visual_Tracking_via_ECCV_2018_paper.pdf)] * **RTINet:** Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo.
"Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yingjie_Yao_Joint_Representation_and_ECCV_2018_paper.pdf)] * **Meta-Tracker:** Eunbyung Park, Alexander C. Berg.
"Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers." [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Eunbyung_Park_Meta-Tracker_Fast_and_ECCV_2018_paper.pdf)] [[github](https://github.com/silverbottlep/meta_trackers)] * **DSLT:** Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang.
"Deep Regression Tracking with Shrinkage Loss." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiankai_Lu_Deep_Regression_Tracking_ECCV_2018_paper.pdf)] [[github](https://github.com/chaoma99/DSLT)] * **DRL-IS:** Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou.
"Deep Reinforcement Learning with Iterative Shift for Visual Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Liangliang_Ren_Deep_Reinforcement_Learning_ECCV_2018_paper.pdf)] * **RT-MDNet:** Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han.
"Real-Time MDNet." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Ilchae_Jung_Real-Time_MDNet_ECCV_2018_paper.pdf)] * **ACT:** Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu.
"Real-time 'Actor-Critic' Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Boyu_Chen_Real-time_Actor-Critic_Tracking_ECCV_2018_paper.pdf)] [[github](https://github.com/bychen515/ACT)] * **StructSiam:** Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi.
"Structured Siamese Network for Real-Time Visual Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua_Zhang_Structured_Siamese_Network_ECCV_2018_paper.pdf)] * **MemTrack:** Tianyu Yang, Antoni B. Chan.
"Learning Dynamic Memory Networks for Object Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Tianyu_Yang_Learning_Dynamic_Memory_ECCV_2018_paper.pdf)] * **SiamFC-tri:** Xingping Dong, Jianbing Shen.
"Triplet Loss in Siamese Network for Object Tracking." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xingping_Dong_Triplet_Loss_with_ECCV_2018_paper.pdf)] [[github](https://github.com/shenjianbing/TripletTracking)] * **OxUvA long-term dataset+benchmark:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.
"Long-term Tracking in the Wild: a Benchmark." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Efstratios_Gavves_Long-term_Tracking_in_ECCV_2018_paper.pdf)] [[project](https://oxuva.github.io/long-term-tracking-benchmark/)] * **TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.
"TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild." ECCV (2018). [[paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Matthias_Muller_TrackingNet_A_Large-Scale_ECCV_2018_paper.pdf)] [[project](http://tracking-net.org/)] ### CVPR2018 * **VITAL:** Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson Lau, and Ming-Hsuan Yang. "VITAL: VIsual Tracking via Adversarial Learning." CVPR (2018 **Spotlight**). [[project](https://ybsong00.github.io/cvpr18_tracking/index)] [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf)] [[github](https://github.com/ybsong00/Vital_release)] * **LSART:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Learning Spatial-Aware Regressions for Visual Tracking." CVPR (2018 **Spotlight**). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.pdf)] * **SiamRPN:** Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network." CVPR (2018 **Spotlight**). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf)] * **TRACA:** Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. "Context-aware Deep Feature Compression for High-speed Visual Tracking." CVPR (2018). [[project](https://sites.google.com/site/jwchoivision/)] [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.pdf)] * **RASNet:** Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank. "Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking." CVPR 2018. [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf)] * **SA-Siam:** Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. "A Twofold Siamese Network for Real-Time Object Tracking." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_A_Twofold_Siamese_CVPR_2018_paper.pdf)] * **STRCF:** Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf)] [[github](https://github.com/lifeng9472/STRCF)] * **FlowTrack:** Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. "End-to-end Flow Correlation Tracking with Spatial-temporal Attention." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.pdf)] * **DEDT:** Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. "Efficient Diverse Ensemble for Discriminative Co-Tracking." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Meshgi_Efficient_Diverse_Ensemble_CVPR_2018_paper.pdf)] * **SINT++:** Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf)] * **DRT:** Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Correlation Tracking via Joint Discrimination and Reliability Learning." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Correlation_Tracking_via_CVPR_2018_paper.pdf)] * **MCCT:** Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. "Multi-Cue Correlation Filters for Robust Visual Tracking." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.pdf)] [[github](https://github.com/594422814/MCCT)] * **MKCF:** Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_High-Speed_Tracking_With_CVPR_2018_paper.pdf)] * **HP:** Xingping Dong, Jianbing Shen, Wenguan Wang, Yu, Liu, Ling Shao, and Fatih Porikli. "Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning." CVPR (2018). [[paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.pdf)] ### NIPS2017 * **HART:** Adam R. Kosiorek, Alex Bewley, Ingmar Posner. "Hierarchical Attentive Recurrent Tracking." NIPS (2017). [[paper](https://papers.nips.cc/paper/6898-hierarchical-attentive-recurrent-tracking.pdf)] [[github](https://github.com/akosiorek/hart)] ### ICCV2017 * **CREST:** Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, Ming-Hsuan Yang. "CREST: Convolutional Residual Learning for Visual Tracking." ICCV (2017 **Spotlight**). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Song_CREST_Convolutional_Residual_ICCV_2017_paper.pdf)] [[project](http://www.cs.cityu.edu.hk/~yibisong/iccv17/index.html)] [[github](https://github.com/ybsong00/CREST-Release)] * **EAST:** Chen Huang, Simon Lucey, Deva Ramanan. "Learning Policies for Adaptive Tracking with Deep Feature Cascades." ICCV (2017 **Spotlight**). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Learning_Policies_for_ICCV_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Huang_Learning_Policies_for_ICCV_2017_supplemental.zip)] * **PTAV:** Heng Fan and Haibin Ling. "Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Fan_Parallel_Tracking_and_ICCV_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Fan_Parallel_Tracking_and_ICCV_2017_supplemental.pdf)] [[project](http://www.dabi.temple.edu/~hbling/code/PTAV/ptav.htm)] [[code](http://www.dabi.temple.edu/~hbling/code/PTAV/serial_ptav_v1.zip)] * **BACF:** Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. "Learning Background-Aware Correlation Filters for Visual Tracking." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_supplemental.pdf)] [[code](http://www.hamedkiani.com/uploads/5/1/8/8/51882963/bacf_toupload.zip)] [[project](http://www.hamedkiani.com/bacf.html)] * **TSN:** Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng and Yi Jin. "Robust Object Tracking based on Temporal and Spatial Deep Networks." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Teng_Robust_Object_Tracking_ICCV_2017_paper.pdf)] * **p-tracker:** James Supančič, III; Deva Ramanan. "Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Supancic_Tracking_as_Online_ICCV_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Supancic_Tracking_as_Online_ICCV_2017_supplemental.pdf)] * **DSiam:** Qing Guo; Wei Feng; Ce Zhou; Rui Huang; Liang Wan; Song Wang. "Learning Dynamic Siamese Network for Visual Object Tracking." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Guo_Learning_Dynamic_Siamese_ICCV_2017_paper.pdf)] [[github](https://github.com/tsingqguo/DSiam)] * **SP-KCF:** Xin Sun; Ngai-Man Cheung; Hongxun Yao; Yiluan Guo. "Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Sun_Non-Rigid_Object_Tracking_ICCV_2017_paper.pdf)] * **UCT:** Zheng Zhu, Guan Huang, Wei Zou, Dalong Du, Chang Huang. "UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking." ICCV workshop (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Zhu_UCT_Learning_Unified_ICCV_2017_paper.pdf)] * Tobias Bottger, Patrick Follmann. "The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations." ICCV workshop (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Bottger_The_Benefits_of_ICCV_2017_paper.pdf)] * **CFWCR:** Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, HongLiang Bai. "Correlation Filters With Weighted Convolution Responses." ICCV workshop (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/He_Correlation_Filters_With_ICCV_2017_paper.pdf)] [[github](https://github.com/he010103/CFWCR)] * **IBCCF:** Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang. "Integrating Boundary and Center Correlation Filters for Visual Tracking With Aspect Ratio Variation." ICCV workshop (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Li_Integrating_Boundary_and_ICCV_2017_paper.pdf)] [[github](https://github.com/lifeng9472/IBCCF)] * **RFL:** Tianyu Yang, Antoni B. Chan. "Recurrent Filter Learning for Visual Tracking." ICCV workshop (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Yang_Recurrent_Filter_Learning_ICCV_2017_paper.pdf)] ### CVPR2017 * **ECO:** Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Danelljan_ECO_Efficient_Convolution_2017_CVPR_supplemental.pdf)] [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/ecotrack/index.html)] [[github](https://github.com/martin-danelljan/ECO)] * **CFNet:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr. "End-to-end representation learning for Correlation Filter based tracking." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Valmadre_End-To-End_Representation_Learning_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Valmadre_End-To-End_Representation_Learning_2017_CVPR_supplemental.pdf)] [[project](http://www.robots.ox.ac.uk/~luca/cfnet.html)] [[github](https://github.com/bertinetto/cfnet)] * **CACF:** Matthias Mueller, Neil Smith, Bernard Ghanem. "Context-Aware Correlation Filter Tracking." CVPR (2017 **oral**). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Mueller_Context-Aware_Correlation_Filter_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Mueller_Context-Aware_Correlation_Filter_2017_CVPR_supplemental.zip)] [[project](https://ivul.kaust.edu.sa/Pages/pub-ca-cf-tracking.aspx)] [[code](https://github.com/thias15/Context-Aware-CF-Tracking)] * **RaF:** Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin "Robust Visual Tracking Using Oblique Random Forests." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Robust_Visual_Tracking_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Zhang_Robust_Visual_Tracking_2017_CVPR_supplemental.pdf)] [[project](https://sites.google.com/site/zhangleuestc/incremental-oblique-random-forest)] [[code](https://github.com/ZhangLeUestc/Incremental-Oblique-Random-Forest)] * **MCPF:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. "Multi-Task Correlation Particle Filter for Robust Object Tracking." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Multi-Task_Correlation_Particle_CVPR_2017_paper.pdf)] [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/mcpf.html)] [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/mcpf.html)] * **ACFN:** Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, and Jin Young Choi. "Attentional Correlation Filter Network for Adaptive Visual Tracking." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Choi_Attentional_Correlation_Filter_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Choi_Attentional_Correlation_Filter_2017_CVPR_supplemental.pdf)] [[project](https://sites.google.com/site/jwchoivision/home/acfn-1)] [[test code](https://drive.google.com/file/d/0B0ZkG8zaRQoLQUswbW9qSWFaU0U/view?usp=drive_web)] [[training code](https://drive.google.com/file/d/0B0ZkG8zaRQoLZVVranBnbHlydnM/view?usp=drive_web)] * **LMCF:** Mengmeng Wang, Yong Liu, Zeyi Huang. "Large Margin Object Tracking with Circulant Feature Maps." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Large_Margin_Object_CVPR_2017_paper.pdf)] [[zhihu](https://zhuanlan.zhihu.com/p/25761718)] * **ADNet:** Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. "Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning." CVPR (2017 **Spotlight**). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yun_Action-Decision_Networks_for_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Yun_Action-Decision_Networks_for_2017_CVPR_supplemental.pdf)] [[project](https://sites.google.com/view/cvpr2017-adnet)] * **CSR-DCF:** Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan. "Discriminative Correlation Filter with Channel and Spatial Reliability." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Lukezic_Discriminative_Correlation_Filter_CVPR_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_cvpr_2017/supplemental/Lukezic_Discriminative_Correlation_Filter_2017_CVPR_supplemental.pdf)] [[code](https://github.com/alanlukezic/csr-dcf)] * **BranchOut:** Bohyung Han, Jack Sim, Hartwig Adam. "BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Han_BranchOut_Regularization_for_CVPR_2017_paper.pdf)] * **AMCT:** Donghun Yeo, Jeany Son, Bohyung Han, Joonhee Han. "Superpixel-based Tracking-by-Segmentation using Markov Chains." CVPR (2017). [[paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yeo_Superpixel-Based_Tracking-By-Segmentation_Using_CVPR_2017_paper.pdf)] * **SANet:** Heng Fan, Haibin Ling. "SANet: Structure-Aware Network for Visual Tracking." CVPRW (2017). [[paper](https://arxiv.org/pdf/1611.06878.pdf)] [[project](http://www.dabi.temple.edu/~hbling/code/SANet/SANet.html)] [[code](http://www.dabi.temple.edu/~hbling/code/SANet/sanet_code.zip)] ### ECCV2016 * **SiameseFC:** Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H.S. Torr. "Fully-Convolutional Siamese Networks for Object Tracking." ECCV workshop (2016). [[paper](http://120.52.73.78/arxiv.org/pdf/1606.09549v2.pdf)] [[project](http://www.robots.ox.ac.uk/~luca/siamese-fc.html)] [[github](https://github.com/bertinetto/siamese-fc)] * **GOTURN:** David Held, Sebastian Thrun, Silvio Savarese. "Learning to Track at 100 FPS with Deep Regression Networks." ECCV (2016). [[paper](http://davheld.github.io/GOTURN/GOTURN.pdf)] [[project](http://davheld.github.io/GOTURN/GOTURN.html)] [[github](https://github.com/davheld/GOTURN)] * **C-COT:** Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking." ECCV (2016). [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/C-COT_ECCV16.pdf)] [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/conttrack/index.html)] [[github](https://github.com/martin-danelljan/Continuous-ConvOp)] * **CF+AT:** Adel Bibi, Matthias Mueller, and Bernard Ghanem. "Target Response Adaptation for Correlation Filter Tracking." ECCV (2016). [[paper](http://www.adelbibi.com/papers/ECCV2016/Target_Adap.pdf)] [[project](https://ivul.kaust.edu.sa/Pages/pub-target-response-adaptation.aspx)] [[github](https://github.com/adelbibi/Target-Response-Adaptation-for-Correlation-Filter-Tracking)] * Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang. "Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning." ECCV (2016). [[paper](http://120.52.73.78/arxiv.org/pdf/1608.08173.pdf)] * Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang. "Tracking Completion." ECCV (2016). [[paper](http://120.52.73.78/arxiv.org/pdf/1608.08171v1.pdf)] ### CVPR2016 * **MDNet:** Nam, Hyeonseob, and Bohyung Han. "Learning Multi-Domain Convolutional Neural Networks for Visual Tracking." CVPR (2016). [[paper](http://arxiv.org/pdf/1510.07945v2.pdf)] [[VOT_presentation](http://votchallenge.net/vot2015/download/presentation_Hyeonseob.pdf)] [[project](http://cvlab.postech.ac.kr/research/mdnet/)] [[github](https://github.com/HyeonseobNam/MDNet)] * **SINT:** Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. "Siamese Instance Search for Tracking." CVPR (2016). [[paper](https://staff.science.uva.nl/r.tao/pub/TaoCVPR2016.pdf)] [[project](https://staff.fnwi.uva.nl/r.tao/projects/SINT/SINT_proj.html)] * **SCT:** Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, and Jin Young Choi. "Visual Tracking Using Attention-Modulated Disintegration and Integration." CVPR (2016). [[paper](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Choi_Visual_Tracking_Using_CVPR_2016_paper.pdf)] [[project](https://sites.google.com/site/jwchoivision/home/sct)] * **STCT:** Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "STCT: Sequentially Training Convolutional Networks for Visual Tracking." CVPR (2016). [[paper](http://www.ee.cuhk.edu.hk/~wlouyang/Papers/WangLJ_CVPR16.pdf)] [[github](https://github.com/scott89/STCT)] * **SRDCFdecon:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking." CVPR (2016). [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/decontrack/AdaptiveDecon_CVPR16.pdf)] [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/decontrack/index.html)] * **HDT:** Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. "Hedged Deep Tracking." CVPR (2016). [[paper](http://faculty.ucmerced.edu/mhyang/papers/cvpr16_hedge_tracking.pdf)] [[project](https://sites.google.com/site/yuankiqi/hdt/)] * **Staple:** Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. "Staple: Complementary Learners for Real-Time Tracking." CVPR (2016). [[paper](http://120.52.73.75/arxiv.org/pdf/1512.01355v2.pdf)] [[project](http://www.robots.ox.ac.uk/~luca/staple.html)] [[github](https://github.com/bertinetto/staple)] * **EBT:** Gao Zhu, Fatih Porikli, and Hongdong Li. "Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals." CVPR (2016). [[paper](http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Zhu_Beyond_Local_Search_CVPR_2016_paper.pdf)] [[exe](http://www.votchallenge.net/vot2016/download/02_EBT.zip)] * **DLSSVM:** Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang and Ming-Hsuan Yang. "Object Tracking via Dual Linear Structured SVM and Explicit Feature Map." CVPR (2016). [[paper](http://www4.comp.polyu.edu.hk/~cslzhang/paper/cvpr16/DLSSVM.pdf)] [[code](http://www4.comp.polyu.edu.hk/~cslzhang/code/DLSSVM_CVPR.zip)] [[project](http://www4.comp.polyu.edu.hk/~cslzhang/DLSSVM/DLSSVM.htm)] ### NIPS2016 * **Learnet:** Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi. "Learning feed-forward one-shot learners." NIPS (2016). [[paper](https://arxiv.org/pdf/1606.05233v1.pdf)] ### ICCV2015 * **FCNT:** Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "Visual Tracking with Fully Convolutional Networks." ICCV (2015). [[paper](http://202.118.75.4/lu/Paper/ICCV2015/iccv15_lijun.pdf)] [[project](http://scott89.github.io/FCNT/)] [[github](https://github.com/scott89/FCNT)] * **SRDCF:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking." ICCV (2015). [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/SRDCF_ICCV15.pdf)] [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/)] * **CF2:** Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang. "Hierarchical Convolutional Features for Visual Tracking." ICCV (2015) [[paper](http://faculty.ucmerced.edu/mhyang/papers/iccv15_tracking.pdf)] [[project](https://sites.google.com/site/jbhuang0604/publications/cf2)] [[github](https://github.com/jbhuang0604/CF2)] * Naiyan Wang, Jianping Shi, Dit-Yan Yeung and Jiaya Jia. "Understanding and Diagnosing Visual Tracking Systems." ICCV (2015). [[paper](http://winsty.net/papers/diagnose.pdf)] [[project](http://winsty.net/tracker_diagnose.html)] [[code](http://winsty.net/diagnose/diagnose_code.zip)]\ * **DeepSRDCF:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Convolutional Features for Correlation Filter Based Visual Tracking." ICCV workshop (2015). [[paper](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/ConvDCF_ICCV15_VOTworkshop.pdf)] [[project](https://www.cvl.isy.liu.se/research/objrec/visualtracking/regvistrack/)] * **RAJSSC:** Mengdan Zhang, Junliang Xing, Jin Gao, Xinchu Shi, Qiang Wang, Weiming Hu. "Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation." ICCV workshop (2015). [[paper](http://www.cv-foundation.org//openaccess/content_iccv_2015_workshops/w14/papers/Zhang_Joint_Scale-Spatial_Correlation_ICCV_2015_paper.pdf)] [[poster](http://www.votchallenge.net/vot2015/download/poster_Mengdan_Zhang.pdf)] ### CVPR2015 * **MUSTer:** Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. "MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking." CVPR (2015). [[paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Hong_MUlti-Store_Tracker_MUSTer_2015_CVPR_paper.pdf)] [[project](https://sites.google.com/site/multistoretrackermuster/)] * **LCT:** Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. "Long-term Correlation Tracking." CVPR (2015). [[paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Ma_Long-Term_Correlation_Tracking_2015_CVPR_paper.pdf)] [[project](https://sites.google.com/site/chaoma99/cvpr15_tracking)] [[github](https://github.com/chaoma99/lct-tracker)] * **DAT:** Horst Possegger, Thomas Mauthner, and Horst Bischof. "In Defense of Color-based Model-free Tracking." CVPR (2015). [[paper](https://lrs.icg.tugraz.at/pubs/possegger_cvpr15.pdf)] [[project](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/dat)] [[code](https://lrs.icg.tugraz.at/downloads/dat-v1.0.zip)] * **RPT:** Yang Li, Jianke Zhu and Steven C.H. Hoi. "Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches." CVPR (2015). [[paper](https://github.com/ihpdep/ihpdep.github.io/raw/master/papers/cvpr15_rpt.pdf)] [[github](https://github.com/ihpdep/rpt)] ### ICML2015 * **CNN-SVM:** Seunghoon Hong, Tackgeun You, Suha Kwak and Bohyung Han. "Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network ." ICML (2015) [[paper](http://120.52.73.80/arxiv.org/pdf/1502.06796.pdf)] [[project](http://cvlab.postech.ac.kr/research/CNN_SVM/)] ### BMVC2014 * **DSST:** Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking." BMVC (2014). [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/ScaleTracking_BMVC14.pdf)] [[PAMI](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/DSST_TPAMI.pdf)] [[project](http://www.cvl.isy.liu.se/en/research/objrec/visualtracking/scalvistrack/index.html)] ### ECCV2014 * **MEEM:** Jianming Zhang, Shugao Ma, and Stan Sclaroff. "MEEM: Robust Tracking via Multiple Experts using Entropy Minimization." ECCV (2014). [[paper](http://cs-people.bu.edu/jmzhang/MEEM/MEEM-eccv-preprint.pdf)] [[project](http://cs-people.bu.edu/jmzhang/MEEM/MEEM.html)] * **TGPR:** Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing. "Transfer Learning Based Visual Tracking with Gaussian Process Regression." ECCV (2014). [[paper](http://www.dabi.temple.edu/~hbling/publication/tgpr-eccv14.pdf)] [[project](http://www.dabi.temple.edu/~hbling/code/TGPR.htm)] * **STC:** Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang. "Fast Tracking via Spatio-Temporal Context Learning." ECCV (2014). [[paper](http://arxiv.org/pdf/1311.1939v1.pdf)] [[project](http://www4.comp.polyu.edu.hk/~cslzhang/STC/STC.htm)] * **SAMF:** Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration." ECCV workshop (2014). [[paper](http://link.springer.com/content/pdf/10.1007%2F978-3-319-16181-5_18.pdf)] [[github](https://github.com/ihpdep/samf)] ### NIPS2013 * **DLT:** Naiyan Wang and Dit-Yan Yeung. "Learning A Deep Compact Image Representation for Visual Tracking." NIPS (2013). [[paper](http://winsty.net/papers/dlt.pdf)] [[project](http://winsty.net/dlt.html)] [[code](http://winsty.net/dlt/DLTcode.zip)] ### PAMI & IJCV & TIP * **AOGTracker:** Tianfu Wu , Yang Lu and Song-Chun Zhu. "Online Object Tracking, Learning and Parsing with And-Or Graphs." TPAMI (2017). [[paper](http://www4.ncsu.edu/~twu19/papers/AOGTracker_PAMI.pdf)] [[project](http://www4.ncsu.edu/~twu19/project_posts/AOGTracker/)] [[github](https://github.com/tfwu/RGM-AOGTracker)] * **MCPF:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Learning Multi-task Correlation Particle Filters for Visual Tracking." TPAMI (2017). [[paper]] [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/lmcpf.html)] [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_mcpf/Source_Code/Source_Code.zip)] * **RSST:** Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Robust Structural Sparse Tracking." TPAMI (2017). [[paper]] [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/rsst.html)] [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_RSST/RSSTDeep/RSSTDeep_Code.zip)] * **fDSST:** Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Discriminative Scale Space Tracking." TPAMI (2017). [[paper](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/DSST_TPAMI.pdf)] [[project](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/index.html)] [[code](http://www.cvl.isy.liu.se/research/objrec/visualtracking/scalvistrack/fDSST_code.zip)] * **KCF:** João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI (2015). [[paper](http://www.robots.ox.ac.uk/~joao/publications/henriques_tpami2015.pdf)] [[project](http://www.robots.ox.ac.uk/~joao/circulant/)] * **CLRST:** Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem. "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning." IJCV (2015). [[paper](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/tianzhu%20zhang_files/Journal%20Articles/IJCV15_zhang_Low-Rank%20Sparse%20Learning.pdf)] [[project](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_IJCV14/Robust%20Visual%20Tracking%20Via%20Consistent%20Low-Rank%20Sparse.html)] [[code](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/Project_Tianzhu/zhang_IJCV14/material/LRT_Code.zip)] * **DNT:** Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang. "Dual Deep Network for Visual Tracking." TIP (2017). [[paper](https://arxiv.org/pdf/1612.06053v1.pdf)] * **DRT:** Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu. "Deep Relative Tracking." TIP (2017). [[paper](http://ieeexplore.ieee.org/abstract/document/7828108/)] * **BIT:** Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao. "BIT: Biologically Inspired Tracker." TIP (2016). [[paper](http://caibolun.github.io/papers/BIT_TIP.pdf)] [[project](http://caibolun.github.io/BIT/index.html)] [[github](https://github.com/caibolun/BIT)] * **CNT:** Kaihua Zhang, Qingshan Liu, Yi Wu, Minghsuan Yang. "Robust Visual Tracking via Convolutional Networks Without Training." TIP (2016). [[paper](http://kaihuazhang.net/CNT.pdf)] [[code](http://kaihuazhang.net/CNT_matlab.rar)] ## ArXiv * **MLT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space." arXiv (2017). [[paper](https://arxiv.org/pdf/1712.09153v1.pdf)] * **STECF:** Yang Li, Jianke Zhu, Wenjie Song, Zhefeng Wang, Hantang Liu, Steven C. H. Hoi. "Robust Estimation of Similarity Transformation for Visual Object Tracking with Correlation Filters." arXiv (2017). [[paper](https://arxiv.org/pdf/1712.05231v1.pdf)] * **PAWSS:** Xiaofei Du, Alessio Dore, Danail Stoyanov. "Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking." arXiv (2017). [[paper](https://arxiv.org/pdf/1708.01179v1.pdf)] * **SFT:** Zhen Cui, You yi Cai, Wen ming Zheng, Jian Yang. "Spectral Filter Tracking." arXiv (2017). [[paper](https://arxiv.org/pdf/1707.05553v1.pdf)] * **Re3:** Daniel Gordon, Ali Farhadi, Dieter Fox. "Re3 : Real-Time Recurrent Regression Networks for Object Tracking." arXiv (2017). [[paper](https://arxiv.org/pdf/1705.06368.pdf)] * **DCFNet:** Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu. "DCFNet: Discriminant Correlation Filters Network for Visual Tracking." arXiv (2017). [[paper](https://arxiv.org/pdf/1704.04057.pdf)] [[code](https://github.com/foolwood/DCFNet#dcfnet-discriminant-correlation-filters-network-for-visual-tracking)] * **TCNN:** Hyeonseob Nam, Mooyeol Baek, Bohyung Han. "Modeling and Propagating CNNs in a Tree Structure for Visual Tracking." arXiv (2016). [[paper](http://arxiv.org/pdf/1608.07242v1.pdf)] [[code](http://www.votchallenge.net/vot2016/download/44_TCNN.zip)] * **RDT:** Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Visual Tracking by Reinforced Decision Making." arXiv (2017). [[paper](https://arxiv.org/pdf/1702.06291.pdf)] * **MSDAT:** Xinyu Wang, Hanxi Li, Yi Li, Fumin Shen, Fatih Porikli . "Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation." arXiv (2017). [[paper](https://arxiv.org/pdf/1701.00561.pdf)] * **RLT:** Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang. "Deep Reinforcement Learning for Visual Object Tracking in Videos." arXiv (2017). [[paper](https://arxiv.org/pdf/1701.08936v1.pdf)] * **SCF:** Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang. "Learning Support Correlation Filters for Visual Tracking." arXiv (2016). [[paper](https://arxiv.org/pdf/1601.06032.pdf)] [[project](http://faculty.ucmerced.edu/mhyang/project/scf/)] * **CRT:** Kai Chen, Wenbing Tao. "Convolutional Regression for Visual Tracking." arXiv (2016). [[paper](https://arxiv.org/pdf/1611.04215.pdf)] * **BMR:** Kaihua Zhang, Qingshan Liu, and Ming-Hsuan Yang. "Visual Tracking via Boolean Map Representations." arXiv (2016). [[paper](https://arxiv.org/pdf/1610.09652v1.pdf)] * **YCNN:** Kai Chen, Wenbing Tao. "Once for All: a Two-flow Convolutional Neural Network for Visual Tracking." arXiv (2016). [[paper](https://arxiv.org/pdf/1604.07507v1.pdf)] * **ROLO:** Guanghan Ning, Zhi Zhang, Chen Huang, Zhihai He, Xiaobo Ren, Haohong Wang. "Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking." arXiv (2016). [[paper](http://arxiv.org/pdf/1607.05781v1.pdf)] [[project](http://guanghan.info/projects/ROLO/)] [[github](https://github.com/Guanghan/ROLO/)] * **RATM:** Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic. "RATM: Recurrent Attentive Tracking Model." arXiv (2015). [[paper](https://arxiv.org/pdf/1510.08660v4.pdf)] [[github](https://github.com/saebrahimi/RATM)] * **SO-DLT:** Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung. "Transferring Rich Feature Hierarchies for Robust Visual Tracking." arXiv (2015). [[paper](https://arxiv.org/pdf/1501.04587v2.pdf)] [[code](http://www.votchallenge.net/vot2016/download/08_SO-DLT.zip)] * **DMSRDCF:** Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. "Deep Motion Features for Visual Tracking." ICPR **Best Paper** (2016). [[paper](https://arxiv.org/pdf/1612.06615v1.pdf)] ## Benchmark * **LaSOT:** Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. "Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space." arXiv (2018). [[paper](https://arxiv.org/pdf/1809.07845.pdf)] [[project](https://cis.temple.edu/lasot/)] * **OxUvA long-term dataset+benchmark:** Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip Torr, Efstratios Gavves.
"Long-term Tracking in the Wild: a Benchmark." ECCV (2018). [[paper](https://arxiv.org/pdf/1803.09502.pdf)] [[project](https://oxuva.github.io/long-term-tracking-benchmark/)] * **TrackingNet:** Matthias Müller, Adel Bibi, Silvio Giancola, Salman Al-Subaihi, Bernard Ghanem.
"TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild." ECCV (2018). [[project](https://silviogiancola.github.io/publication/2018-03-trackingnet/details/)] [[paper](https://arxiv.org/pdf/1803.10794.pdf)] * **UAVDT:** Dawei Du, Yuankai Qi, Hongyang Yu, Yifang Yang, Kaiwen Duan, GuoRong Li, Weigang Zhang, Weihai; Qingming Huang, Qi Tian.
"The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking." ECCV (2018). [[paper](https://arxiv.org/pdf/1804.00518.pdf)] * **Dataset-AMP:** Luka Čehovin Zajc; Alan Lukežič; Aleš Leonardis; Matej Kristan. "Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking." ICCV (2017). [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zajc_Beyond_Standard_Benchmarks_ICCV_2017_paper.pdf)] * **Dataset-Nfs:** Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan and Simon Lucey. "Need for Speed: A Benchmark for Higher Frame Rate Object Tracking." ICCV (2017) [[paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Need_for_Speed_ICCV_2017_paper.pdf)] [[supp](http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Galoogahi_Need_for_Speed_ICCV_2017_supplemental.pdf)] [[project](http://ci2cv.net/nfs/index.html)] * **Dataset-DTB70:** Siyi Li, Dit-Yan Yeung. "Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models." AAAI (2017) [[paper](http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14338/14292)] [[project](https://github.com/flyers/drone-tracking)] [[dataset](https://www.dropbox.com/s/s1fj99s2six4lrs/DTB70.tar.gz?dl=0)] * **Dataset-UAV123:** Matthias Mueller, Neil Smith and Bernard Ghanem. "A Benchmark and Simulator for UAV Tracking." ECCV (2016) [[paper](https://ivul.kaust.edu.sa/Documents/Publications/2016/A%20Benchmark%20and%20Simulator%20for%20UAV%20Tracking.pdf)] [[project](https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx)] [[dataset](https://ivul.kaust.edu.sa/Pages/Dataset-UAV123.aspx)] * **Dataset-TColor-128:** Pengpeng Liang, Erik Blasch, Haibin Ling. "Encoding color information for visual tracking: Algorithms and benchmark." TIP (2015) [[paper](http://www.dabi.temple.edu/~hbling/publication/TColor-128.pdf)] [[project](http://www.dabi.temple.edu/~hbling/data/TColor-128/TColor-128.html)] [[dataset](http://www.dabi.temple.edu/~hbling/data/TColor-128/Temple-color-128.zip)] * **Dataset-NUS-PRO:** Annan Li, Min Lin, Yi Wu, Ming-Hsuan Yang, and Shuicheng Yan. "NUS-PRO: A New Visual Tracking Challenge." PAMI (2015) [[paper](http://faculty.ucmerced.edu/mhyang/papers/pami15_nus_pro.pdf)] [[project](https://sites.google.com/site/li00annan/nus-pro)] [[Data_360](https://d9fca6.lc.yunpan.cn/lk/cqKIc6DU3t2eJ)(code:bf28)] [[Data_baidu]](https://pan.baidu.com/s/1pJHvbSn#list/path=%2F)] [[View_360](https://6aa275.lc.yunpan.cn/lk/cqK479PfzDrPX)(code:515a)] [[View_baidu]](https://pan.baidu.com/s/1hqKXcuK)] * **Dataset-PTB:** Shuran Song and Jianxiong Xiao. "Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines." ICCV (2013) [[paper](http://vision.princeton.edu/projects/2013/tracking/paper.pdf)] [[project](http://tracking.cs.princeton.edu/)] [[5 validation](http://tracking.cs.princeton.edu/ValidationSet.zip)] [[95 evaluation](http://tracking.cs.princeton.edu/EvaluationSet.tgz)] * **Dataset-ALOV300+:** Arnold W. M. Smeulders, Dung M. Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah. "Visual Tracking: An Experimental Survey." PAMI (2014) [[paper](http://crcv.ucf.edu/papers/Tracking_Survey.pdf)] [[project](http://imagelab.ing.unimore.it/dsm/)] [Mirror Link:ALOV300++ Dataset](http://crcv.ucf.edu/people/phd_students/afshin/ALOV300/Frames.zip) [Mirror Link:ALOV300++ Groundtruth](http://crcv.ucf.edu/people/phd_students/afshin/ALOV300/GT.zip) * **OTB2013:** Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Online Object Tracking: A Benchmark." CVPR (2013). [[paper](http://faculty.ucmerced.edu/mhyang/papers/cvpr13_benchmark.pdf)] * **OTB2015:** Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Object Tracking Benchmark." TPAMI (2015). [[paper](http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7001050&tag=1)] [[project](http://cvlab.hanyang.ac.kr/tracker_benchmark/index.html)] * **Dataset-VOT:** **[[project](http://www.votchallenge.net/)]** **[[VOT13_paper_ICCV](http://www.votchallenge.net/vot2013/Download/vot_2013_paper.pdf)]The Visual Object Tracking VOT2013 challenge results** **[[VOT14_paper_ECCV](http://www.votchallenge.net/vot2014/download/vot_2014_paper.pdf)]The Visual Object Tracking VOT2014 challenge results** **[[VOT15_paper_ICCV](http://www.votchallenge.net/vot2015/download/vot_2015_paper.pdf)]The Visual Object Tracking VOT2015 challenge results** **[[VOT16_paper_ECCV](http://www.votchallenge.net/vot2016/download/vot_2016_paper.pdf)]The Visual Object Tracking VOT2016 challenge results** **[[VOT17_paper_ICCV](http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w28/Kristan_The_Visual_Object_ICCV_2017_paper.pdf)]The Visual Object Tracking VOT2017 challenge results** ## Distinguished Researchers & Teams Distinguished visual tracking researchers who have published +3 papers which have a major impact on the field of visual tracking and are still active in the field of visual tracking.(Names listed in no particular order.) * [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/) * [Haibin Ling](http://www.dabi.temple.edu/~hbling/) * [Huchuan Lu](http://ice.dlut.edu.cn/lu/) * [Hongdong Li](http://users.cecs.anu.edu.au/~hongdong/) * [Lei Zhang](http://www4.comp.polyu.edu.hk/~cslzhang/) * [Matej Kristan](http://www.vicos.si/People/Matejk) * [João F. Henriques](http://www.robots.ox.ac.uk/~joao/) * [Martin Danelljan](http://users.isy.liu.se/cvl/marda26/) * [Kaihua Zhang](http://kaihuazhang.net/) * [Hamed Kiani](http://www.hamedkiani.com/) * [Luca Bertinetto](http://www.robots.ox.ac.uk/~luca/index.html) * [Tianzhu Zhang](http://nlpr-web.ia.ac.cn/mmc/homepage/tzzhang/index.html) * [Chao Ma](https://www.chaoma.info/) * [Yibing Song](https://ybsong00.github.io/) * [Dong Wang](http://www.escience.cn/people/wangdongdut/index.html) * [**Torr Vision Group**](http://www.robots.ox.ac.uk/~tvg/people.php) * [**Computer Vision Laboratory, POSTECH**](http://cvlab.postech.ac.kr/lab/index.php)