Awesome

Single_Object_Tracking_Paper_List

Paper list for single object tracking (Modified from [benchmark_results] and continue to Update this list)

fig-1

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]
"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]
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] [Github] [DemoVideo]
[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] [Project] [Video] [VideoTutorial]

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]
Robust Tracking via Mamba-based Context-aware Token Learning,
Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song [Paper]

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]
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]
[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] [Code] [DemoVideo]

ICLR-2024

Nie, Jiahao, et al. "Towards Category Unification of 3D Single Object Tracking on Point Clouds." arXiv preprint arXiv:2401.11204 (2024). [Paper] [Code]

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]

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] [Code]
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]
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] [Code]
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] [Code]
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data, Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu [Paper] [Code]
Efficient RGB-T Tracking via Cross-Modality Distillation, Tianlu Zhang · Hongyuan Guo · Qiang Jiao · Qiang Zhang · Jungong Han [Paper]
Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking, Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li [Paper] [Code]
Generalized Relation Modeling for Transformer Tracking, Shenyuan Gao · Chunluan Zhou · Jun Zhang [Paper] [Code]
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] [Code]
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses, Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim [Paper] [Code]
Autoregressive Visual Tracking, Xing Wei · Yifan Bai · Yongchao Zheng · Dahu Shi · Yihong Gong [Paper] [Code]
Resource-Efficient RGBD Aerial Tracking, Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Ales Leonardis [Paper] [Code]
Tracking through Containers and Occluders in the Wild Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick [Paper] [Code]
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] [Code]
Unifying Short and Long-Term Tracking with Graph Hierarchies, Orcun Cetintas · Guillem Braso · Laura Leal-Taixé [Paper] [Code]
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking , Yukang Chen · Jianhui Liu · Xiangyu Zhang · XIAOJUAN QI · Jiaya Jia [Paper] [Code]
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking, Xiongbiao Luo [Paper]
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks, Qiangqiang Wu · Tianyu Yang · Ziquan Liu · Baoyuan Wu · Ying Shan · Antoni Chan, [Paper] [Code]
CXTrack: Improving 3D Point Cloud Tracking with Contextual Information, Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang [Paper] [Code]
Data-driven Feature Tracking for Event Cameras, Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza [Paper] [Code] [DemoVideo]
"SeqTrack: Sequence to Sequence Learning for Visual Object Tracking." Chen, Xin, et al. CVPR 2023 [Paper] [Code]
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] [Code]
Generalized Relation Modeling for Transformer Tracking, Shenyuan Gao, Chunluan Zhou, Jun Zhang [Paper] [Code]
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data, [Paper] [Code]
Joint Visual Grounding and Tracking with Natural Language Specification, Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He [Paper] [Code]
Visual Prompt Multi-Modal Tracking, Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu [Paper] [Code]
Universal Instance Perception as Object Discovery and Retrieval, Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, Huchuan Lu [Paper] [Code]

ICML-2022

UAST: Uncertainty-Aware Siamese Tracking, Dawei Zhang 1 Yanwei Fu 2 Zhonglong Zheng, [Paper]

NIPS-2022

Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds, Zhiyu ZHU, Junhui HOU, Xianqiang LYU [Paper] [Code]
TAP-Vid: A Benchmark for Tracking Any Point in a Video, Doersch, Carl, et al. [Paper] [Code]
Divert More Attention to Vision-Language Tracking, Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, [Paper] [Code]
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] [Code]
SwinTrack: A Simple and Strong Baseline for Transformer Tracking, Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling [Paper] [Code]

ECCV-2022

Towards Grand Unification of Object Tracking, Bin Yan1⋆, Yi Jiang2,†, Peize Sun3, Dong Wang1,†,Zehuan Yuan2, Ping Luo3, and Huchuan Lu [Paper] [Code]
AiATrack: Attention in Attention for Transformer Visual Tracking, Shenyuan Gao1, Chunluan Zhou2, Chao Ma3, Xinggang Wang1, Junsong Yuan [Paper] [Code]
Hierarchical Feature Embedding for Visual Tracking, Zhixiong Pi1∗, Weitao Wan2, Chong Sun2, Changxin Gao1,Nong Sang1†, and Chen Li [Paper] [Code]
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]
Robust Visual Tracking by Segmentation, Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool
[Paper] [Code]
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories, Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki [Paper] [Project] [Code]
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] [Code]
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] [Github]
"Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking." Chen, Boyu, et al. arXiv preprint arXiv:2203.05328 (2022). [Paper] [Code]
Towards Sequence-Level Training for Visual Tracking, Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho [Paper] [Code]
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] [Code]
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]

IJCAI 2022

SparseTT: Visual Tracking with Sparse Transformers, Zhihong Fu , Zehua Fu , Qingjie Liu, Wenrui Cai, Yunhong Wang, [Paper] [Code]
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking, Ilchae Jung, et al. [Paper]
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]
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking, Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han [Paper]

CVPR-2022

Ranking-Based Siamese Visual Tracking, Feng Tang, Qiang Ling, [Paper]
CSWinTT: Transformer Tracking with Cyclic Shifting Window Attention, Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang [Paper] [Code]
Global Tracking via Ensemble of Local Trackers, Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, and Zhenyu He, [Paper] [Code]
Unified Transformer Tracker for Object Tracking, Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan [Paper] [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] [Project] [Code]
ToMP: Transforming Model Prediction for Tracking, Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool [Paper] [Code]
TCTrack: Temporal Contexts for Aerial Tracking, Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu, [Paper] [Code]
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] [Code]
Correlation-Aware Deep Tracking, Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng [Paper]
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] [Code]
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]
Global Tracking Transformers, Xingyi Zhou; Tianwei Yin; Vladlen Koltun; Philipp Krähenbühl, [Paper]
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline, Pengyu Zhang; Jie Zhao; Dong Wang; Huchuan Lu; Xiang Ruan [Paper]
Unsupervised Domain Adaptation for Nighttime Aerial Tracking, Junjie Ye; Changhong Fu; Guangze Zheng; Danda Pani Paudel; Guang Chen [Paper]
MixFormer: End-to-End Tracking With Iterative Mixed Attention, Yutao Cui; Cheng Jiang; Limin Wang; Gangshan Wu, [Paper]
Opening up Open-World Tracking, Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé [Paper]

AAAI-2022 [All Paper List]

Homography Decomposition Networks for Planar Object Tracking, Xinrui Zhan, Yueran Liu, jianke Zhu, Yang Li, [Paper] [Code]
Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark, Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai [Paper]
Attribute-based Progressive Fusion Network for RGBT Tracking, Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang [Paper] [Code]
Park, Minseong, et al. "Graph-Based Point Tracker for 3D Object Tracking in Point Clouds." AAAI-2022, [Paper]
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]

ICCV-2021

LTM： Learn to Match: Automatic Matching Network Design for Visual Tracking， Zhang Zhipeng, Liu Yihao, Wang Xiao, Li Bing, Hu Weiming, [Paper] [Code]
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] [Code]
ABA: Learning to Adversarially Blur Visual Object Tracking, Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao, [Paper] [Code]
Stark: Learning Spatio-Temporal Transformer for Visual Tracking. ICCV, 2021. Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. [Paper][Code]
HiFT: Hierarchical Feature Transformer for Aerial Tracking. ICCV, 2021. Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li. [Paper][Code]
SAOT: Saliency-Associated Object Tracking. ICCV, 2021. Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He. [Paper][Code]
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][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] [Video]
Yu, Bin, et al. "High-Performance Discriminative Tracking With Transformers." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [Paper]
Yan, Song, et al. "DepthTrack: Unveiling the Power of RGBD Tracking." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. [Paper] [Dataset and Code]
Fan, Heng, et al. "Transparent object tracking benchmark." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021, [Paper]
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] [Code]
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] [Code]

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] [Project] [TNL2K-BaiduYun (Code: pclt)] [SOT Paper List] [Benchmark-Results] [Demo Video (Youtube)]
TransformerTrack: **Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking, **Wang, Ning and Zhou, Wengang and Wang, Jie and Li, Houqiang [Paper] [Code]
TransT: Transformer Tracking, [Paper] [Code]
SNLT: Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers [Paper] [Code]
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking, Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang, [Paper] [Code]
Rotation Equivariant Siamese Networks for Tracking, Deepak K. Gupta, Devanshu Arya, Efstratios Gavves, [Paper] [Code]
SiamGAT: Graph Attention Tracking, Guo, Dongyan and Shao, Yanyan and Cui, Ying and Wang, Zhenhua and Zhang, Liyan and Shen, Chunhua [Paper] [Code]
STMTrack: Template-free Visual Tracking with Space-time Memory Networks, Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang [Paper] [Code]
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation, Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang, CVPR2021 [Paper] [Code]
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]
Progressive Unsupervised Learning for Visual Object Tracking, Qiangqiang Wu, Jia Wan, Antoni B. Chan [Paper]
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking, Jennifer Jang, Heinrich Jiang [Paper]
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]
Polygonal Point Set Tracking Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim [Paper]
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] [Code]
CapsuleRRT: Relationships-Aware Regression Tracking via Capsules Ding Ma, Xiangqian Wu [Paper]
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]
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen, [Paper] [Code]
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] [Code]

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] [Code]

AAAI2021

Model Uncertainty Guides Visual Object Tracking, Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft [Paper]
Towards Universal Physical Attacks on Single Object Tracking, Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang [Paper]
Visual Tracking via Hierarchical Deep Reinforcement Learning, Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li [Paper]
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]

NIPS2020

ke Song· Wei Zhang · Ran Song · Yibin Li, Online Decision Based Visual Tracking via Reinforcement Learning, [Paper] [Project] [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]

ECCV2020

SPARK: Guo, Qing, et al. "SPARK: Spatial-aware online incremental attack against visual tracking." [Paper]
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]
RTAA: Shuai Jia, Chao Ma, Yibing Song, and Xiaokang Yang, Robust Tracking against Adversarial Attacks, [Paper] [Code]
Ocean: Zhang et al. Ocean: Object-aware Anchor-free Tracking, [Paper] [Code]
Liu et al. Object Tracking using Spatio-Temporal Networks for Future Prediction Location, [Paper]
Li et al.** Challenge-Aware RGBT Tracking** [Paper]
PG-Net: Liao et al. PG-Net: Pixel to Global Matching Network for Visual Tracking [Paper]
KYS: Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte, Know Your Surroundings: Exploiting Scene Information for Object Tracking [Paper] [Code]
FAN: Siyuan Liang, Xingxing Wei, Siyuan Yao, and Xiaochun Cao, Efficient Adversarial Attacks for Visual Object Tracking, [Paper]

CVPR2020

SiamCAR: SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen [Paper] [Code]
LTMU: High-Performance Long-Term Tracking With Meta-Updater Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang [Paper] [Code]
???: Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking, Peiliang Li, Jieqi Shi, Shaojie Shen [Paper]
P2B P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds Haozhe Qi, Chen Feng, Zhiguo Cao, Feng Zhao, Yang Xiao [Paper] [Code]
???: Correlation-Guided Attention for Corner Detection Based Visual Tracking Fei Du, Peng Liu, Wei Zhao, Xianglong Tang [Paper]
???: 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]
FTMU: Fast Template Matching and Update for Video Object Tracking and Segmentation Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao [Paper] [Code]
???: Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking Jin Gao, Weiming Hu, Yan Lu [Paper]
3D-ZeF 3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund [Paper] [Dataset]
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). [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] [Author-Homepage]
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]
SiamAttn: Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. "Deformable Siamese Attention Networks for Visual Object Tracking." CVPR (2020). [paper]
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] [code]
GlobalTrack: Huang, Lianghua, Xin Zhao, and Kaiqi Huang. "GlobalTrack: A simple and strong baseline for long-term tracking." AAAI (2020). [Paper] [Code]
DROL Discriminative and Robust Online Learning for Siamese Visual Tracking, Jinghao Zhou, Peng Wang, Haoyang Sun[Paper] [Code]

ICCV2019

???: Deformable Surface Tracking by Graph Matching, Tao Wang, Haibin Ling, Congyan Lang, Songhe Feng, Xiaohui Hou, [Paper]
: Deep Meta Learning for Real-Time Target-Aware Visual Tracking, Janghoon Choi, Junseok Kwon, Kyoung Mu Lee [Paper]
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]
Lianghua Huang, Xin Zhao, Kaiqi Huang. "Bridging the Gap Between Detection and Tracking: A Unified Approach." ICCV (2019). [paper]
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] [code]
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]
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] [Project]
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]

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]
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

AOGTracker: Tianfu Wu , Yang Lu and Song-Chun Zhu. "Online Object Tracking, Learning and Parsing with And-Or Graphs." TPAMI (2017). [paper] [project] [github]
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]
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]
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]
RATM: Samira Ebrahimi Kahou, Vincent Michalski, Roland Memisevic. "RATM: Recurrent Attentive Tracking Model." arXiv (2015). [paper] [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.)