Visual-Tracking-Development

Papers

🌟 Recommendations 🌟

• VOTSurvey: Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas.
  "Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook." ArXiv (2021). [paper]

• DL4VT: Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Senior Member, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Senior Member.
  "Deep Learning for Visual Tracking: A Comprehensive Survey." ArXiv (2021). [paper] [code]

• SwinTrack: Liting Lin, Heng Fan, Yong Xu, Haibin Ling.
  "SwinTrack: A Simple and Strong Baseline for Transformer Tracking." ArXiv (2021). [paper] [code]

• GIT: Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang.
  "Global Instance Tracking: Locating Target More Like Humans." IEEE TPAMI (2022). [paper] [code]

• KeepTrack: Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool.
  "Learning Target Candidate Association to Keep Track of What Not to Track." ICCV (2021). [paper] [code]

CVPR 2022

• MixFormer: Yutao Cui, Jiang Cheng, Limin Wang, Gangshan Wu.
  "MixFormer: End-to-End Tracking with Iterative Mixed Attention." CVPR (2022). [paper] [code]

• UTT: Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan.
  "Unified Transformer Tracker for Object Tracking." CVPR (2022). [paper] [code]

• CSWinTT: Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang.
  "Transformer Tracking with Cyclic Shifting Window Attention." CVPR (2022). [paper] [code]

• ToMP: Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool.
  "Transforming Model Prediction for Tracking." CVPR (2022). [paper] [code]

• TCTrack: Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu.
  "TCTrack: Temporal Contexts for Aerial Tracking." CVPR (2022). [paper] [code]

• SBT: Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng.
  "Correlation-Aware Deep Tracking." CVPR (2022). [paper] [code]

• VTUAV: Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan.
  "Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline." CVPR (2022). [paper] [code]

• UAVMOT: Shuai Liu, Xin Li, Huchuan Lu, You He.
  "Multi-Object Tracking Meets Moving UAV." CVPR (2022). [paper] [code]

• GTR: Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Phillip Krähenbühl.
  "Global Tracking Transformers." CVPR (2022). [paper] [code]

• GTELT: Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, Zhenyu He.
  "Global Tracking via Ensemble of Local Trackers." CVPR (2022). [paper] [code]

• RBO: Feng Tang, Qiang Ling.
  "Ranking-based Siamese Visual Tracking." CVPR (2022). [paper] [code]

• ULAST: Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang.
  "Unsupervised Learning of Accurate Siamese Tracking." CVPR (2022). [paper] [code]

• UDAT: Junjie Ye, Changhong Fu, Guangze Zheng, Danda Pani Paudel, Guang Chen.
  "Unsupervised Domain Adaptation for Nighttime Aerial Tracking." CVPR (2022). [paper] [code]

• M2Track: Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li.
  "Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds." CVPR (2022). [paper] [code]

IJCAI 2022

• InBN: Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu, Bing Li, Weiming Hu.
  "Learning Target-aware Representation for Visual Tracking via Informative Interactions." IJCAI (2022). [paper] [code]

• SparseTT: Zhihong Fu, Zehua Fu, Qingjie Liu, Zehua Fu, Yunhong Wang.
  "SparseTT: Visual Tracking with Sparse Transformers." IJCAI (2022). [paper] [code]

• HybTransT: Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han.
  "Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking." IJCAI (2022). [paper] [code]

ArXiv

• TOT/MKDNet: Yabin Zhu, Chenglong Li, Yao Liu, Xiao Wang, Jin Tang, Bin Luo, Zhixiang Huang.
  "Tiny Object Tracking: A Large-scale Dataset and A Baseline." ArXiv (2022). [paper] [code]

• WebUAV-3M: Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Yuxuan Zhang, Xiang Wan, Shiming Ge.
  "WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking." ArXiv (2022). [paper] [code]

• SOTVerse: Shiyu Hu, Xin Zhao, Kaiqi Huang.
  "SOTVerse: A User-defined Task Space of Single Object Tracking." ArXiv (2022). [paper] [code]

• SiamTracking4UAV: Changhong Fu, Kunhan Lu, Guangze Zheng, Junjie Ye, Ziang Cao, Bowen Li.
  "Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis." ArXiv (2022). [paper] [code]

• SOTSurvey: Zahra Soleimanitaleb, Mohammad Ali Keyvanrad.
  "Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics." ArXiv (2022). [paper]

• SOTRearch: Ruize Han, Wei Feng, Qing Guo, Qinghua Hu.
  "Single Object Tracking Research: A Survey." ArXiv (2022). [paper]

• SimTrack: Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang.
  "Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking." ArXiv (2022). [paper] [code]

• OSTrack: Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan.
  "Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework." ArXiv (2022). [paper] [code]

• HCAT: Xin Chen, Dong Wang, Dongdong Li, Huchuan Lu.
  "Efficient Visual Tracking via Hierarchical Cross-Attention Transformer." ArXiv (2022). [paper] [code]

• TransT-M: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Huchuan Lu.
  "High-Performance Transformer Tracking." ArXiv (2022). [paper] [code]

• RTS: Matthieu Paul,Martin Danelljan,Christoph Mayer,Luc Van Gool.
  "Robust Visual Tracking by Segmentation." ArXiv (2022). [paper] [code]

• RGBDT: Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen, Ling Shao.
  "RGBD Object Tracking: An In-depth Review." ArXiv (2022). [paper] [code]

• SkeleVision: Nilaksh Das, Sheng-Yun Peng, Duen Horng Chau.
  "SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning." ArXiv (2022). [paper] [code]

• CAJMU: Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang.
  "Context-aware Visual Tracking with Joint Meta-updating." ArXiv (2022). [paper] [code]

• ResamplingNet: Haobo Zuo, Changhong Fu, Sihang Li, Junjie Ye, and Guangze Zheng.
  "ResamplingNet: End-to-End Adaptive Feature Resampling Network for Real-Time Aerial Tracking." ArXiv (2022). [paper] [code]

• LPAT: Changhong Fu, Weiyu Peng, Sihang Li, Junjie Ye, and Ziang Cao.
  "Local Perception-Aware Transformer for Aerial Tracking." ArXiv (2022). [paper] [code]

• FDT: Changhong Fu, Haobo Zuo, Guangze Zheng, Junjie Ye, and Bowen Li.
  "Feature-Distilled Transformer for UAV Tracking." ArXiv (2022). [paper] [code]

• HighlightNet: Changhong Fu, Haolin Dong.
  "HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking." ArXiv (2022). [paper] [code]

• LAE-PVT: Bowen Li, Yiming Li, Junjie Ye, Changhong Fu, and Hang Zhao.
  "Predictive Visual Tracking: A New Benchmark and Baseline Approach." ArXiv (2022). [paper] [code]

• SiamPSA: Guangze Zheng, Changhong Fu, Junjie Ye, Bowen Li, Geng Lu, and Jia Pan.
  "SiamPSA: Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention." ArXiv (2022). [paper] [code]

• AdaptiveSiam: Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E Cruz, Louis-Antoine Blais-Morin, Eric Granger.
  "Generative Target Update for Adaptive Siamese Tracking." ArXiv (2022). [paper] [code]

• DST: Yao Sui, Guanghui Wang, Li Zhang.
  "In Defense of Subspace Tracker: Orthogonal Embedding for Visual Tracking." ArXiv (2022). [paper] [code]

• SiamLA: Jiahao Nie, Han Wu, Zhiwei He, Yuxiang Yang, Mingyu Gao, Zhekang Dong.
  "Learning Localization-aware Target Confidence for Siamese Visual Tracking." ArXiv (2022). [paper] [code]

• DUT-Anti-UAV: Jie Zhao, Jingshu Zhang, Dongdong Li, Dong Wang.
  "Vision-based Anti-UAV Detection and Tracking." TITS (2022). [paper] [code]

• CoCoLoT: Matteo Dunnhofer, Christian Micheloni.
  "CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking." ICPR (2022). [paper] [code]

• EUSA: Siao Liu, Zhaoyu Chen, Wei Li, Jiwei Zhu, Jiafeng Wang, Wenqiang Zhang, Zhongxue Gan.
  "Efficient universal shuffle attack for visual object tracking." ICASSP (2022). [paper] [code]

• FEAR: Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas.
  "FEAR: Fast, Efficient, Accurate and Robust Visual Tracker." ArXiv (2021). [paper] [code]

• ITB: Xin Li, Qiao Liu, Wenjie Pei, Qiuhong Shen, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang.
  "An Informative Tracking Benchmark." ArXiv (2021). [paper] [code]

• VisEvent: Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu.
  "VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows." ArXiv (2021). [paper] [code]

• RPT++: Ziang Ma, Haitao Zhang, Linyuan Wang, Jun Yin.
  "RPT++: Customized Feature Representation for Siamese Visual Tracking." ArXiv (2021). [paper] [code]

• IAT: Mengmeng Wang, Xiaoqian Yang, Yong Liu.
  "Explicitly Modeling the Discriminability for Instance-Aware Visual Object Tracking." ArXiv (2021). [paper] [code]

• ALT: Di Yuan, Xiaojun Chang, Qiao Liu, Dehua Wang, Zhenyu He.
  "Active Learning for Deep Visual Tracking." ArXiv (2021). [paper] [code]

• FSLT: Jinghao Zhou, Bo Li, Peng Wang, Peixia Li, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang.
  "Real-Time Visual Object Tracking via Few-Shot Learning." ArXiv (2021). [paper] [code]

• DML: Jinghao Zhou, Bo Li, Lei Qiao, Peng Wang, Weihao Gan, Wei Wu, Junjie Yan, Wanli Ouyang.
  "Higher Performance Visual Tracking with Dual-Modal Localization." ArXiv (2021). [paper] [code]

• TREG: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu.
  "Target Transformed Regression for Accurate Tracking." ArXiv (2021). [paper] [code]

• SiamSTM: Jinpu Zhang, Yuehuan Wang.
  "Spatio-Temporal Matching for Siamese Visual Tracking." ArXiv (2021). [paper] [code]

• TrTr: Moju Zhao, Kei Okada, Masayuki Inaba.
  "TrTr: Visual Tracking with Transformer." ArXiv (2021). [paper] [code]

• TS-RCN: Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei.
  "Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks." ArXiv (2020). [paper] [code]

• DMV: Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim.
  "DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval." ArXiv (2020). [paper] [code]

• FCOT: Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu.
  "Fully Convolutional Online Tracking." ArXiv (2020). [paper] [code]

AAAI 2022

• HDN: Xinrui Zhan, Yueran Liu, jianke Zhu, Yang Li.
  "Homography Decomposition Networks for Planar Object Tracking." AAAI (2022). [paper] [code]

• MArMOT: Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai.
  "Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark." AAAI (2022). [paper] [code]

• APFNet: Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang.
  "Attribute-based Progressive Fusion Network for RGBT Tracking." AAAI (2022). [paper] [code]

• TAV: Tahar Allouche, Jerome Lang, Florian Yger.
  "Truth-Tracking via Approval Voting: Size Matters." AAAI (2022). [paper] [code]

ICLR 2022

• FSBA: Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia.
  "Few-Shot Backdoor Attacks on Visual Object Tracking." ICLR (2022). [paper] [code]

ICRA 2022

• Ad2Attack: Changhong Fu, Sihang Li, Xinnan Yuan, Junjie Ye, Ziang Cao, Fangqiang Ding.
  "Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking." ICRA (2022). [paper] [code]

• SCT: Junjie Ye, Changhong Fu, Ziang Cao, Shan An, Guangze Zheng, Bowen Li.
  "Tracker Meets Night: A Transformer Enhancer for UAV Tracking." ICRA/RAL (2022). [paper] [code]

WACV 2022

• SiamTPN: Daitao Xing, Nikolaos Evangeliou, Athanasios Tsoukalas, Anthony Tzes.
  "Siamese Transformer Pyramid Networks for Real-Time UAV Tracking." WACV (2022). [paper] [code]

ICCV 2021

• STARK: Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu.
  "Learning Spatio-Temporal Transformer for Visual Tracking." ICCV (2021). [paper] [code]

• AutoMatch: Zhang Zhipeng, Liu Yihao, Wang Xiao, Li Bing, Hu Weiming.
  "Learn to Match: Automatic Matching Network Design for Visual Tracking." ICCV (2021). [paper] [code]

• DDT: Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang.
  "High-Performance Discriminative Tracking with Transformers." ICCV (2021). [paper] [code]

• HiFT: Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li.
  "HiFT: Hierarchical Feature Transformer for Aerial Tracking." ICCV (2021). [paper] [code]

• DualTFR: Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng.
  "Learning Tracking Representations via Dual-Branch Fully Transformer Networks." ICCVW (2021). [paper] [code]

• DMB: Fei Xie, Wankou Yang, Kaihua Zhang, Bo Liu, Wanli Xue, Wangmeng Zuo.
  "Learning Spatio-Appearance Memory Network for High-Performance Visual Tracking." ICCVW (2021). [paper] [code]

• KeepTrack: Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool.
  "Learning Target Candidate Association to Keep Track of What Not to Track." ICCV (2021). [paper] [code]

• SAOT: Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He.
  "Saliency-Associated Object Tracking." ICCV (2021). [paper] [code]

• MLVSNet: Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long , Jun Wang.
  "MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking." ICCV (2021). [paper] [code]

• EFTrack: Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong.
  "Object Tracking by Jointly Exploiting Frame and Event Domain." ICCV (2021). [paper] [code]

• Box2Mask: Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos." ICCV (2021). [paper] [code]

• DepthTrack: Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Aleš Leonardis, Joni-Kristian Kämäräinen.
  "DepthTrack : Unveiling the Power of RGBD Tracking." ICCV (2021). [paper] [code]

• USOT: Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang.
  "Learning to Track Objects from Unlabeled Videos." ICCV (2021). [paper] [code]

• TOTB: Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling.
  "Transparent Object Tracking Benchmark." ICCV (2021). [paper] [code]

• TREK-150: Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella, Christian Micheloni.
  "Is First Person Vision Challenging for Object Tracking?." ICCVW (2021). [paper] [code] [toolkit]

• VASR: Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang.
  "Video Annotation for Visual Tracking via Selection and Refinement." ICCV (2021). [paper] [code]

• BAT: Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui.
  "Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds." ICCV (2021). [paper] [code]

• ABA: Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao.
  "Learning to Adversarially Blur Visual Object Tracking." ICCV (2021). [paper] [code]

CVPR 2021

• TransT: Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu.
  "Transformer Tracking." CVPR (2021). [paper] [code]

• Alpha-Refine: Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang.
  "Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation." CVPR (2021). [paper] [code]

• LightTrack: Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu.
  "LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search." CVPR (2021). [paper] [code]

• TrTrack: Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li.
  "Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking." CVPR (2021). [paper] [code]

• STMTrack: Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang.
  "STMTrack: Template-free Visual Tracking with Space-time Memory Networks." CVPR (2021). [paper] [code]

• SiamGAT: Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen.
  "Graph Attention Tracking." CVPR (2021). [paper] [code]

• SiamACM: Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen.
  "Learning to Fuse Asymmetric Feature Maps in Siamese Trackers." CVPR (2021). [paper] [code]

• PST: Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim.
  "Polygonal Point Set Tracking." CVPR (2021). [paper] [code]

• PUL: Qiangqiang Wu, Jia Wan, Antoni B. Chan.
  "Progressive Unsupervised Learning for Visual Object Tracking." CVPR (2021). [paper] [code]

• CapsuleRRT: Ding Ma, Xiangqian Wu.
  "CapsuleRRT: Relationships-Aware Regression Tracking via Capsules." CVPR (2021). [paper] [code]

• Semi-Track: Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz.
  "Learning to Track Instances without Video Annotations." CVPR (2021). [paper] [code]

• RE-Siam: Deepak K. Gupta, Devanshu Arya, Efstratios Gavves.
  "Rotation Equivariant Siamese Networks for Tracking." CVPR (2021). [paper] [code]

• SiamNLP: Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff.
  "Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers." CVPR (2021). [paper] [code]

• LangTrackBenchmark: Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu.
  "Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark." CVPR (2021). [paper] [code]

• DroneCrowd: Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu.
  "Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark." CVPR (2021). [paper] [code]

• DMTrack: Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang.
  "Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy." CVPR (2021). [paper] [code]

• LF-Siam: Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang.
  "Learning to Filter: Siamese Relation Network for Robust Tracking." CVPR (2021). [paper] [code]

• IoU Attack: Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang.
  "IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking." CVPR (2021). [paper] [code]

• MeanShift++: Jennifer Jang, Heinrich Jiang.
  "MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking." CVPR (2021). [paper] [code]

IROS 2021

• CRACT: Heng Fan, Haibin Ling.
  "CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking." IROS (2020). [paper]

• SiamAPN++: Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li.
  "SiamAPN++: Siamese Attentional Aggregation Network for Real-Time UAV Tracking." IROS (2021). [paper] [code]

• DarkLighter: Junjie Ye, Changhong Fu, Guangze Zheng, Ziang Cao, Bowen Li.
  "DarkLighter: Light Up the Darkness for UAV Tracking." IROS (2021). [paper] [code]

• PTT: Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui.
  "PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds." IROS (2021). [paper] [code]

NeurIPS 2021

• PathTrack: Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre.
  "Tracking Without Re-recognition in Humans and Machines." NeurIPS (2021). [paper] [code]

• UniTrack: Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip Torr, Luca Bertinetto.
  "Do Different Tracking Tasks Require Different Appearance Models?." NeurIPS (2021). [paper] [code]

WACV 2021

• MART: Heng Fan, Haibin Ling.
  "MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking." WACV (2021). [paper] [code]

• SiamSE: Ivan Sosnovik, Artem Moskalev, Arnold Smeulders.
  "Scale Equivariance Improves Siamese Tracking." WACV (2021). [paper] [code]

• TracKlinic: Heng Fan, Fan Yang, Peng Chu, Yuewei Lin, Lin Yuan, Haibin Ling.
  "TracKlinic: Diagnosis of Challenge Factors in Visual Tracking." WACV (2021). [paper] [code]

AAAI 2021

• MUG: Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft.
  "Model Uncertainty Guides Visual Object Tracking." AAAI (2021). [paper]

• UPA: Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang.
  "Towards Universal Physical Attacks on Single Object Tracking." AAAI (2021). [paper]

• PACNet: Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li.
  "Visual Tracking via Hierarchical Deep Reinforcement Learning." AAAI (2021). [paper]

• MSANet: Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi.
  "A Unified Multi-Scenario Attacking Network for Visual Object Tracking." AAAI (2021). [paper]

Others 2021

• SiamAPN: Changhong Fu, Ziang Cao, Yiming Li, Junjie Ye, Chen Feng.
  "Onboard Real-Time Aerial Tracking with Efficient Siamese Anchor Proposal Network." IEEE TGRS (2021). [paper] [code]

• SiamGAN: Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun.
  "Siamese Guided Anchoring Network for Visual Tracking." IEEE IJCNN (2021). [paper] [code]

• τ: Matteo Dunnhofer, Kristian Simonato, Christian Micheloni.
  "Combining complementary trackers for enhanced long-term visual object tracking." IVC (2022). [paper] [code]

• CCR: Shiming Ge, Chunhui Zhang, Shikun Li, Dan Zeng, Dacheng Tao.
  "Cascaded Correlation Refinement for Robust Deep Tracking." IEEE TNNLS (2021). [paper] [code]

• PCDHV: Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen.
  "Pyramid Correlation based Deep Hough Voting for Visual Object Tracking." ACML (2021). [paper]

• TrackMLP: Tianyu Zhu, Rongkai Ma, Mehrtash Harandi, Tom Drummond.
  "Learning Online for Unified Segmentation and Tracking Models." IJCNN (2021). [paper]

• TAPL: Wei han, Hantao Huang, Xiaoxi Yu.
  "TAPL: Dynamic Part-based Visual Tracking via Attention-guided Part Localization." BMVC (2021). [paper]

• CHASE: Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei.
  "CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search." BMVC (2021). [paper]

ECCV 2020

• Ocean: Zhipeng Zhang, Houwen Peng, Jianlong Fu, Bing Li, Weiming Hu.
  "Ocean: Object-aware Anchor-free Tracking." ECCV (2020). [paper] [code]

• KYS: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Know Your Surroundings: Exploiting Scene Information for Object Tracking." ECCV (2020). [paper] [code]

• PGNet: Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin.
  "PG-Net: Pixel to Global Matching Network for Visual Tracking." ECCV (2020). [paper]

• STN: Yuan Liu, Ruoteng Li, Yu Cheng, Robby T.Tan, Xiubao Sui.
  "Object Tracking using Spatio-Temporal Networks for Future Prediction Location." ECCV (2020). [paper]

• RPT: Ziang Ma, Linyuan Wang, Haitao Zhang, Wei Lu, Jun Yin.
  "RPT: Learning Point Set Representation for Siamese Visual Tracking." ECCVW (2020). [paper] [code]

• CenterTrack: Xingyi Zhou, Vladlen Koltun, and Philipp Krahenbuhl.
  "Tracking objects as points." ECCV (2020). [paper] [code]

• PointTracker: Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang.
  "Segment as Points for Efficient Online Multi-Object Tracking and Segmentation." ECCV (2020). [paper] [code]

• DCFST: Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu.
  "Learning Feature Embeddings for Discriminant Model based Tracking." ECCV (2020). [paper] [code]

• CLNet: Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli.
  "CLNet: A Compact Latent Network for Fast Adjusting Siamese Tracker." ECCV (2020). [paper] [code]

• RTAA: Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang.
  "Robust Tracking against Adversarial Attacks." ECCV (2020). [paper] [code]

• EAA: Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao.
  "Efficient Adversarial Attacks for Visual Object Tracking." ECCV (2020). [paper]

• SPARK: Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu.
  "SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking." ECCV (2020). [paper]

• CAT: Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang.
  "Challenge-Aware RGBT Tracking." ECCV (2020). [paper]

• JDE: Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang.
  "Towards Real-Time Multi-Object Tracking." ECCV (2020). [paper] [code]

• Chained-Tracker: Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu.
  "Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking." ECCV (2020). [paper] [code]

• TAO: Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan.
  "TAO: A Large-scale Benchmark for Tracking Any Object." ECCV (2020). [paper] [code]

CVPR2020

• MAML: Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng.
  "Tracking by Instance Detection: A Meta-Learning Approach." CVPR (2020 Oral). [paper]

• Siam R-CNN: Paul Voigtlaender, Jonathon Luiten, Philip H.S. Torr, Bastian Leibe.
  "Siam R-CNN: Visual Tracking by Re-Detection." CVPR (2020). [BoLTVOS] [paper] [code]

• D3S: Alan Lukežič, Jiří Matas, Matej Kristan.
  "D3S – A Discriminative Single Shot Segmentation Tracker." CVPR (2020). [paper] [code]

• PrDiMP: Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Probabilistic Regression for Visual Tracking." CVPR (2020). [paper] [code]

• ROAM: Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan.
  "ROAM: Recurrently Optimizing Tracking Model." CVPR (2020). [paper] [code]

• 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] [code]

• SiamBAN: Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji.
  "Siamese Box Adaptive Network for Visual Tracking." CVPR (2020). [paper] [code]

• SiamCAR: Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen.
  "SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking." CVPR (2020). [paper] [code]

• SiamAttn: Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott.
  "Deformable Siamese Attention Networks for Visual Object Tracking." CVPR (2020). [paper]

• CSA: Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang.
  "Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises." CVPR (2020). [paper] [code]

• LTMU: Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang.
  "High-Performance Long-Term Tracking with Meta-Updater." CVPR (2020). [paper] [code]

• MAST: Zihang Lai, Erika Lu, Weidi Xie.
  "MAST: A Memory-Augmented Self-supervised Tracker." CVPR (2020). [paper] [code]

• CGACD: Fei Du, Peng Liu, Wei Zhao, Xianglong Tang.
  "Correlation-Guided Attention for Corner Detection Based Visual Tracking." CVPR (2020).

IJCAI 2020

• TLPG-Tracker: Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du.
  "TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking." IJCAI (2020). [paper]

• E3SN: Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang.
  "E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation." IJCAI (2020). [paper]

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] [code]

• DROL: Jinghao Zhou, Peng Wang, Haoyang Sun.
  "Discriminative and Robust Online Learning for Siamese Visual Tracking." AAAI (2020). [paper] [code]

• POST: Ning Wang, Wengang Zhou, Guojun Qi, Houqiang Li.
  "POST: POlicy-Based Switch Tracking." AAAI (2020). [paper]

• SPS: Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye.
  "SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking." AAAI (2020). [paper] [code]

• RPOT: Yifan Yang, Guorong Li, Yuankai Qi, Qingming Huang.
  "Release the Power of Online-Training for Robust Visual Tracking." AAAI (2020). [paper]

• MetaRTT: Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han.
  "Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning." AAAI (2020). [paper]

• GlobalTrack: Lianghua Huang, Xin Zhao, Kaiqi Huang.
  "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking." AAAI (2020). [paper] [code]

Others 2020

• COMET: Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Hossein Ghanei-Yakhdan, Shohreh Kasaei, and Li Cheng.
  "COMET: Context-aware iOu-guided network for sMall objEct Tracking." ACCV 2020. [paper] [code]

• SiamKPN: Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng.
  "Siamese Keypoint Prediction Network for Visual Object Tracking." ArXiv 2020. [paper] [code]

• SiamCAN: Wenzhang Zhou, Longyin Wen, Libo Zhang, Dawei Du, Tiejian Luo, Yanjun Wu.
  "SiamMan: Siamese Motion-aware Network for Visual Tracking." TIP 2020. [paper] [paper_new] [code]

ICCV2019

• DiMP: Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte.
  "Learning Discriminative Model Prediction for Tracking." ICCV (2019 oral). [paper] [code]

• 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] [code]

• MLT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee.
  "Deep Meta Learning for Real-Time Target-Aware Visual Tracking." ICCV (2019). [paper]

• 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] [code]

• ARCF: Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu.
  "Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking." ICCV (2019). [paper] [code]

• BGDT: Lianghua Huang, Xin Zhao, Kaiqi Huang.
  "Bridging the Gap Between Detection and Tracking: A Unified Approach." ICCV (2019). [paper]

• PAT: Rey Reza Wiyatno, Anqi Xu.
  "Physical Adversarial Textures That Fool Visual Object Tracking." ICCV (2019). [paper]

• 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] [code]

• 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]

• fdKCF: Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu.
  "Fast-deepKCF Without Boundary Effect." ICCV (2019). [paper]

• VOT2019: Kristan, Matej, et al.
  "The Seventh Visual Object Tracking VOT2019 Challenge Results." ICCV workshops (2019). [paper]

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] [project] [code]

• 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] [project]

• ATOM: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg.
  "ATOM: Accurate Tracking by Overlap Maximization." CVPR (2019 oral). [paper] [code]

• SiamDW: Zhipeng Zhang, Houwen Peng.
  "Deeper and Wider Siamese Networks for Real-Time Visual Tracking." CVPR (2019 oral). [paper] [code]

• GCT: Junyu Gao, Tianzhu Zhang, Changsheng Xu.
  "Graph Convolutional Tracking." CVPR (2019 oral). [paper] [code]

• ASRCF: Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li.
  "Visual Tracking via Adaptive Spatially-Regularized Correlation Filters." CVPR (2019 oral). [paper] [code]

• UDT: Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li.
  "Unsupervised Deep Tracking." CVPR (2019). [paper] [code]

• TADT: Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang.
  "Target-Aware Deep Tracking." CVPR (2019). [paper] [project] [code]

• C-RPN: Heng Fan, Haibin Ling.
  "Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking." CVPR (2019). [paper]

• SPM: Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng.
  "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking." CVPR (2019). [paper]

• 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] [code]

• RPCF: Yuxuan Sun, Chong Sun, Dong Wang, Huchuan Lu, You He.
  "ROI Pooled Correlation Filters for Visual Tracking." CVPR (2019). [paper]

• 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] [project]

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] [code]

• ANT: Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang.
  "Learning Attribute-Specific Representations for Visual Tracking." AAAI (2019). [paper]

• Re2EMA: Jianglei Huang, Wengang Zhou.
  "Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking." AAAI (2019). [paper]

NIPS2018

• DAT: Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang.
  "Deep Attentive Tracking via Reciprocative Learning." NIPS (2018). [paper] [project] [code]

ECCV2018

• UPDT: Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg.
  "Unveiling the Power of Deep Tracking." ECCV (2018). [paper]

• DaSiamRPN: Zheng Zhu, Qiang Wang, Bo Li, Wu Wei, Junjie Yan, Weiming Hu.
  "Distractor-aware Siamese Networks for Visual Object Tracking." ECCV (2018). [paper] [github]

• SiamMCF: Henrique Morimitsu.
  "Multiple Context Features in Siamese Networks for Visual Object Tracking." ECCV (2018). [paper] [github]

• 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]

• 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]

• Meta-Tracker: Eunbyung Park, Alexander C. Berg.
  "Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers." [paper] [github]

• DSLT: Xiankai Lu, Chao Ma*, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang.
  "Deep Regression Tracking with Shrinkage Loss." ECCV (2018). [paper] [github]

• DRL-IS: Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou.
  "Deep Reinforcement Learning with Iterative Shift for Visual Tracking." ECCV (2018). [paper]

• RT-MDNet: Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han.
  "Real-Time MDNet." ECCV (2018). [paper]

• ACT: Boyu Chen, Dong Wang, Peixia Li, Huchuan Lu.
  "Real-time 'Actor-Critic' Tracking." ECCV (2018). [paper] [github]

• StructSiam: Yunhua Zhang, Lijun Wang, Dong Wang, Mengyang Feng, Huchuan Lu, Jinqing Qi.
  "Structured Siamese Network for Real-Time Visual Tracking." ECCV (2018). [paper]

• MemTrack: Tianyu Yang, Antoni B. Chan.
  "Learning Dynamic Memory Networks for Object Tracking." ECCV (2018). [paper]

• SiamFC-tri: Xingping Dong, Jianbing Shen.
  "Triplet Loss in Siamese Network for Object Tracking." ECCV (2018). [paper] [github]

• 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] [project]

• 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] [project]

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] [paper] [github]

• LSART: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Learning Spatial-Aware Regressions for Visual Tracking." CVPR (2018 Spotlight). [paper]

• SiamRPN: Bo Li, Wei Wu, Zheng Zhu, Junjie Yan. "High Performance Visual Tracking with Siamese Region Proposal Network." CVPR (2018 Spotlight). [paper]

• 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] [paper]

• 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]

• SA-Siam: Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. "A Twofold Siamese Network for Real-Time Object Tracking." CVPR (2018). [paper]

• STRCF: Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking." CVPR (2018). [paper] [github]

• FlowTrack: Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. "End-to-end Flow Correlation Tracking with Spatial-temporal Attention." CVPR (2018). [paper]

• DEDT: Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. "Efficient Diverse Ensemble for Discriminative Co-Tracking." CVPR (2018). [paper]

• SINT++: Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. "SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation." CVPR (2018). [paper]

• DRT: Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. "Correlation Tracking via Joint Discrimination and Reliability Learning." CVPR (2018). [paper]

• MCCT: Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. "Multi-Cue Correlation Filters for Robust Visual Tracking." CVPR (2018). [paper] [github]

• MKCF: Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. "High-speed Tracking with Multi-kernel Correlation Filters." CVPR (2018). [paper]

• 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]

NIPS2017

• HART: Adam R. Kosiorek, Alex Bewley, Ingmar Posner. "Hierarchical Attentive Recurrent Tracking." NIPS (2017). [paper] [github]

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] [project] [github]

• EAST: Chen Huang, Simon Lucey, Deva Ramanan. "Learning Policies for Adaptive Tracking with Deep Feature Cascades." ICCV (2017 Spotlight). [paper] [supp]

• PTAV: Heng Fan and Haibin Ling. "Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking." ICCV (2017). [paper] [supp] [project] [code]

• BACF: Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. "Learning Background-Aware Correlation Filters for Visual Tracking." ICCV (2017). [paper] [supp] [code] [project]

• 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]

• p-tracker: James Supančič, III; Deva Ramanan. "Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning." ICCV (2017). [paper] [supp]

• DSiam: Qing Guo; Wei Feng; Ce Zhou; Rui Huang; Liang Wan; Song Wang. "Learning Dynamic Siamese Network for Visual Object Tracking." ICCV (2017). [paper] [github]

• 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]

• 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]

• Tobias Bottger, Patrick Follmann. "The Benefits of Evaluating Tracker Performance Using Pixel-Wise Segmentations." ICCV workshop (2017). [paper]

• CFWCR: Zhiqun He, Yingruo Fan, Junfei Zhuang, Yuan Dong, HongLiang Bai. "Correlation Filters With Weighted Convolution Responses." ICCV workshop (2017). [paper] [github]

• 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] [github]

• RFL: Tianyu Yang, Antoni B. Chan. "Recurrent Filter Learning for Visual Tracking." ICCV workshop (2017). [paper]

CVPR2017

• ECO: Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. "ECO: Efficient Convolution Operators for Tracking." CVPR (2017). [paper] [supp] [project] [github]

• 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] [supp] [project] [github]

• CACF: Matthias Mueller, Neil Smith, Bernard Ghanem. "Context-Aware Correlation Filter Tracking." CVPR (2017 oral). [paper] [supp] [project] [code]

• RaF: Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja and Pierre Moulin "Robust Visual Tracking Using Oblique Random Forests." CVPR (2017). [paper] [supp] [project] [code]

• MCPF: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. "Multi-Task Correlation Particle Filter for Robust Object Tracking." CVPR (2017). [paper] [project] [code]

• 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] [supp] [project] [test code] [training code]

• LMCF: Mengmeng Wang, Yong Liu, Zeyi Huang. "Large Margin Object Tracking with Circulant Feature Maps." CVPR (2017). [paper] [zhihu]

• 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] [supp] [project]

• CSR-DCF: Alan Lukežič, Tomáš Vojíř, Luka Čehovin, Jiří Matas, Matej Kristan. "Discriminative Correlation Filter with Channel and Spatial Reliability." CVPR (2017). [paper] [supp] [code]

• BranchOut: Bohyung Han, Jack Sim, Hartwig Adam. "BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks." CVPR (2017). [paper]

• AMCT: Donghun Yeo, Jeany Son, Bohyung Han, Joonhee Han. "Superpixel-based Tracking-by-Segmentation using Markov Chains." CVPR (2017). [paper]

• SANet: Heng Fan, Haibin Ling. "SANet: Structure-Aware Network for Visual Tracking." CVPRW (2017). [paper] [project] [code]

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] [project] [github]

• GOTURN: David Held, Sebastian Thrun, Silvio Savarese. "Learning to Track at 100 FPS with Deep Regression Networks." ECCV (2016). [paper] [project] [github]

• C-COT: Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg. "Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking." ECCV (2016). [paper] [project] [github]

• CF+AT: Adel Bibi, Matthias Mueller, and Bernard Ghanem. "Target Response Adaptation for Correlation Filter Tracking." ECCV (2016). [paper] [project] [github]

• Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang. "Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning." ECCV (2016). [paper]

• Yao Sui, Guanghui Wang, Yafei Tang, Li Zhang. "Tracking Completion." ECCV (2016). [paper]

CVPR2016

• MDNet: Nam, Hyeonseob, and Bohyung Han. "Learning Multi-Domain Convolutional Neural Networks for Visual Tracking." CVPR (2016). [paper] [VOT_presentation] [project] [github]

• SINT: Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. "Siamese Instance Search for Tracking." CVPR (2016). [paper] [project]

• 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] [project]

• STCT: Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "STCT: Sequentially Training Convolutional Networks for Visual Tracking." CVPR (2016). [paper] [github]

• 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] [project]

• HDT: Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. "Hedged Deep Tracking." CVPR (2016). [paper] [project]

• Staple: Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H.S. Torr. "Staple: Complementary Learners for Real-Time Tracking." CVPR (2016). [paper] [project] [github]

• EBT: Gao Zhu, Fatih Porikli, and Hongdong Li. "Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals." CVPR (2016). [paper] [exe]

• 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] [code] [project]

NIPS2016

• Learnet: Luca Bertinetto, João F. Henriques, Jack Valmadre, Philip H. S. Torr, Andrea Vedaldi. "Learning feed-forward one-shot learners." NIPS (2016). [paper]

ICCV2015

• FCNT: Lijun Wang, Wanli Ouyang, Xiaogang Wang, and Huchuan Lu. "Visual Tracking with Fully Convolutional Networks." ICCV (2015). [paper] [project] [github]

• SRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Learning Spatially Regularized Correlation Filters for Visual Tracking." ICCV (2015). [paper] [project]

• CF2: Chao Ma, Jia-Bin Huang, Xiaokang Yang and Ming-Hsuan Yang. "Hierarchical Convolutional Features for Visual Tracking." ICCV (2015) [paper] [project] [github]

• Naiyan Wang, Jianping Shi, Dit-Yan Yeung and Jiaya Jia. "Understanding and Diagnosing Visual Tracking Systems." ICCV (2015). [paper] [project] [code]\

• DeepSRDCF: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Convolutional Features for Correlation Filter Based Visual Tracking." ICCV workshop (2015). [paper] [project]

• 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] [poster]

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] [project]

• LCT: Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. "Long-term Correlation Tracking." CVPR (2015). [paper] [project] [github]

• DAT: Horst Possegger, Thomas Mauthner, and Horst Bischof. "In Defense of Color-based Model-free Tracking." CVPR (2015). [paper] [project] [code]

• RPT: Yang Li, Jianke Zhu and Steven C.H. Hoi. "Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches." CVPR (2015). [paper] [github]

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] [project]

BMVC2014

• DSST: Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan and Michael Felsberg. "Accurate Scale Estimation for Robust Visual Tracking." BMVC (2014). [paper] [PAMI] [project]

ECCV2014

• MEEM: Jianming Zhang, Shugao Ma, and Stan Sclaroff. "MEEM: Robust Tracking via Multiple Experts using Entropy Minimization." ECCV (2014). [paper] [project]

• TGPR: Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing. "Transfer Learning Based Visual Tracking with Gaussian Process Regression." ECCV (2014). [paper] [project]

• STC: Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang. "Fast Tracking via Spatio-Temporal Context Learning." ECCV (2014). [paper] [project]

• SAMF: Yang Li, Jianke Zhu. "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration." ECCV workshop (2014). [paper] [github]

NIPS2013

• DLT: Naiyan Wang and Dit-Yan Yeung. "Learning A Deep Compact Image Representation for Visual Tracking." NIPS (2013). [paper] [project] [code]

PAMI & IJCV & TIP

• MCPF: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Learning Multi-task Correlation Particle Filters for Visual Tracking." TPAMI (2017). [[paper]] [project] [code]

• RSST: Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. " Robust Structural Sparse Tracking." TPAMI (2017). [[paper]] [project] [code]

• fDSST: Martin Danelljan, Gustav Häger, Fahad Khan, Michael Felsberg. "Discriminative Scale Space Tracking." TPAMI (2017). [paper] [project] [code]

• KCF: João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista. "High-Speed Tracking with Kernelized Correlation Filters." TPAMI (2015). [paper] [project]

• CLRST: Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem.
  "Robust Visual Tracking Via Consistent Low-Rank Sparse Learning." IJCV (2015). [paper] [project] [code]

• DNT: Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang. "Dual Deep Network for Visual Tracking." TIP (2017). [paper]

• DRT: Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu. "Deep Relative Tracking." TIP (2017). [paper]

• BIT: Bolun Cai, Xiangmin Xu, Xiaofen Xing, Kui Jia, Jie Miao, Dacheng Tao. "BIT: Biologically Inspired Tracker." TIP (2016). [paper] [project] [github]

• CNT: Kaihua Zhang, Qingshan Liu, Yi Wu, Minghsuan Yang. "Robust Visual Tracking via Convolutional Networks Without Training." TIP (2016). [paper] [code]

  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]

• PAWSS: Xiaofei Du, Alessio Dore, Danail Stoyanov. "Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking." arXiv (2017). [paper]

• SFT: Zhen Cui, You yi Cai, Wen ming Zheng, Jian Yang. "Spectral Filter Tracking." arXiv (2017). [paper]

• Re3: Daniel Gordon, Ali Farhadi, Dieter Fox. "Re3 : Real-Time Recurrent Regression Networks for Object Tracking." arXiv (2017). [paper]

• DCFNet: Qiang Wang, Jin Gao, Junliang Xing, Mengdan Zhang, Weiming Hu. "DCFNet: Discriminant Correlation Filters Network for Visual Tracking." arXiv (2017). [paper] [code]

• TCNN: Hyeonseob Nam, Mooyeol Baek, Bohyung Han. "Modeling and Propagating CNNs in a Tree Structure for Visual Tracking." arXiv (2016). [paper] [code]

• RDT: Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. "Visual Tracking by Reinforced Decision Making." arXiv (2017). [paper]

• 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]

• RLT: Da Zhang, Hamid Maei, Xin Wang, Yuan-Fang Wang. "Deep Reinforcement Learning for Visual Object Tracking in Videos." arXiv (2017). [paper]

• SCF: Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang. "Learning Support Correlation Filters for Visual Tracking." arXiv (2016). [paper] [project]

• CRT: Kai Chen, Wenbing Tao. "Convolutional Regression for Visual Tracking." arXiv (2016). [paper]

• BMR: Kaihua Zhang, Qingshan Liu, and Ming-Hsuan Yang. "Visual Tracking via Boolean Map Representations." arXiv (2016). [paper]

• YCNN: Kai Chen, Wenbing Tao. "Once for All: a Two-flow Convolutional Neural Network for Visual Tracking." arXiv (2016). [paper]

• 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] [project] [github]

• SO-DLT: Naiyan Wang, Siyi Li, Abhinav Gupta, Dit-Yan Yeung. "Transferring Rich Feature Hierarchies for Robust Visual Tracking." arXiv (2015). [paper] [code]

• DMSRDCF: Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. "Deep Motion Features for Visual Tracking." ICPR Best Paper (2016). [paper]

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] [project]

• 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] [project]

• 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] [paper]

• 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]

• Dataset-AMP: Luka Čehovin Zajc; Alan Lukežič; Aleš Leonardis; Matej Kristan. "Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking." ICCV (2017). [paper]

• 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] [supp] [project]

• Dataset-DTB70: Siyi Li, Dit-Yan Yeung. "Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models." AAAI (2017) [paper] [project] [dataset]

• Dataset-UAV123: Matthias Mueller, Neil Smith and Bernard Ghanem. "A Benchmark and Simulator for UAV Tracking." ECCV (2016) [paper] [project] [dataset]

• Dataset-TColor-128: Pengpeng Liang, Erik Blasch, Haibin Ling. "Encoding color information for visual tracking: Algorithms and benchmark." TIP (2015) [paper] [project] [dataset]

• 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] [project] [Data_360(code:bf28)] [Data_baidu]] [View_360(code:515a)] [View_baidu]]

• Dataset-PTB: Shuran Song and Jianxiong Xiao. "Tracking Revisited using RGBD Camera: Unified Benchmark and Baselines." ICCV (2013) [paper] [project] [5 validation] [95 evaluation]

• 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] [project] Mirror Link:ALOV300++ Dataset Mirror Link:ALOV300++ Groundtruth

• OTB2013: Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Online Object Tracking: A Benchmark." CVPR (2013). [paper]

• OTB2015: Wu, Yi, Jongwoo Lim, and Minghsuan Yang. "Object Tracking Benchmark." TPAMI (2015). [paper] [project]

• Dataset-VOT: [project]

[VOT13_paper_ICCV]The Visual Object Tracking VOT2013 challenge results

[VOT14_paper_ECCV]The Visual Object Tracking VOT2014 challenge results

[VOT15_paper_ICCV]The Visual Object Tracking VOT2015 challenge results

[VOT16_paper_ECCV]The Visual Object Tracking VOT2016 challenge results

[VOT17_paper_ICCV]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
• Haibin Ling
• Huchuan Lu
• Hongdong Li
• Lei Zhang
• Matej Kristan
• João F. Henriques
• Martin Danelljan
• Kaihua Zhang
• Hamed Kiani
• Luca Bertinetto
• Tianzhu Zhang
• Chao Ma
• Yibing Song
• Dong Wang
• Torr Vision Group
• Computer Vision Laboratory, POSTECH