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." TAPMI (2023). [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]
GIT: Shiyu Hu, Xin Zhao, Lianghua Huang, Kaiqi Huang.
"Global Instance Tracking: Locating Target More Like Humans." IEEE TPAMI (2022). [paper] [code]
SAM: Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross Girshick.
"Segment Anything." ArXiv (2023). [paper] [homepage] [code]
TAM: Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, Feng Zheng.
"Track Anything: Segment Anything Meets Videos." ArXiv (2023). [paper] [code]
SAM-Track: Yangming Cheng, Liulei Li, Yuanyou Xu, Xiaodi Li, Zongxin Yang, Wenguan Wang, Yi Yang.
"Segment-and-Track Anything." ArXiv (2023). [paper] [code]
SEEM: Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee.
"Segment Everything Everywhere All at Once." ArXiv (2023). [paper] [code]
SAM-PT: Frano Rajič, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu.
"Segment Anything Meets Point Tracking." ArXiv (2023). [paper] [code]
ReviewLLM: Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai.
"Review of Large Vision Models and Visual Prompt Engineering." ArXiv (2023). [paper] [code]
Omnimotion: Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely.
"Tracking Everything Everywhere All at Once." ArXiv (2023). [paper] [code]
ChatVideo: Junke Wang, Dongdong Chen, Chong Luo, Xiyang Dai, Lu Yuan, Zuxuan Wu, Yu-Gang Jiang.
"ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System." ArXiv (2023). [paper] [code]
Video-ChatGPT: Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan.
"Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models." ArXiv (2023). [paper] [code]
SegGPT: Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang.
"SegGPT: Segmenting Everything In Context." ArXiv (2023). [paper] [code]
MixFormerV2: Yutao Cui, Tianhui Song, Gangshan Wu, Limin Wang.
"MixFormerV2: Efficient Fully Transformer Tracking." ArXiv (2023). [paper] [code]

CVPR 2023

X-Decoder: Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao.
"Generalized Decoding for Pixel, Image, and Language." CVPR (2023). [paper] [code]
UNINEXT: Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zuhuan Yuan, Huchuan Lu.
"Universial Instance Perception as Object Discovery and Retrieval." CVPR (2023). [paper] [code]
OmniTracker: Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Xiyang Dai, Lu Yuan, Yu-Gang Jiang.
"OmniTracker: Unifying Object Tracking by Tracking-with-Detection." CVPR (2023). [paper] [code]
DropMAE: Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan.
"DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks." CVPR (2023). [paper] [code]
VideoTrack: Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma.
"VideoTrack: Learning to Track Objects via Video Transformer." CVPR (2023). [paper] [code]
SwinV2: Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao.
"Revealing the Dark Secrets of Masked Image Modeling." CVPR (2023). [paper] [code]
ViPT: Jiawen Zhu, Simiao Lai, Xin Chen, Dong Wang, Huchuan Lu.
"Visual Prompt Multi-Modal Tracking." CVPR (2023). [paper] [code]
JointNLT: Li Zhou, Zikun Zhou, Kaige Mao, Zhenyu He.
"Joint Visual Grounding and Tracking with Natural Language Specification." CVPR (2023). [paper] [code]
ARKitTrack: Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu.
"ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data." CVPR (2023). [paper] [code]
GRM: Shenyuan Gao, Chunluan Zhou, Jun Zhang.
"Generalized Relation Modeling for Transformer Tracking." CVPR (2023). [paper] [code]
ARTrack: Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong.
"Autoregressive Visual Tracking." CVPR (2023). [paper] [code]
MAT: Haojie Zhao, Dong Wang, Huchuan Lu.
"Representation Learning for Visual Object Tracking by Masked Appearance Transfer." CVPR (2023). [paper] [code]
EMT: Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Aleš Leonardis.
"Resource-Efficient RGBD Aerial Tracking." CVPR (2023). [paper] [code]
TBSI: Tianrui Hui, Zizheng Xun, Fengguang Peng, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Jiao Dai, Jizhong Han, Si Liu.
"Bridging Search Region Interaction With Template for RGB-T Tracking." CVPR (2023). [paper] [code]
VisTracker: Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll.
"Visibility Aware Human-Object Interaction Tracking from Single RGB Camera." CVPR (2023). [paper] [code]
OVTrack: Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu.
"OVTrack: Open-Vocabulary Multiple Object Tracking." CVPR (2023). [paper] [code]
SeqTrack: Xin Chen, Houwen Peng, Dong Wang, Huchuan Lu, Han Hu.
"SeqTrack: Sequence to Sequence Learning for Visual Object Tracking." CVPR (2023). [paper] [code]
ImageBind: Rohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra.
"IMAGEBIND: One Embedding Space To Bind Them All." CVPR (2023). [paper] [code]
TCOW: Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick.
"Tracking through Containers and Occluders in the Wild." CVPR (2023). [paper] [code]

IJCAI 2023

OSP2B: Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao, Jing Zhang.
"OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking." IJCAI (2023). [paper] [code]

ICRA 2023

SGDViT: Liangliang Yao, Changhong Fu, Sihang Li, Guangze Zheng, Junjie Ye.
"SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking." ICRA (2023). [paper] [code]
ClimRT: Changhong Fu, Mutian Cai, Sihang Li, Kunhan Lu, Haobo Zuo, Chongjun Liu.
"Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking." ICRA (2023). [paper] [code]

IROS 2023

CDT: Kunhan Lu, Changhong Fu, Yucheng Wang, Haobo Zuo, Guangze Zheng, and Jia Pan.
"Cascaded Denoising Transformer for UAV Nighttime Tracking." RAL (2023). [paper] [code]
TRTrack: Sihang Li, Changhong Fu.
"TRTrack: Boosting UAV Object Tracking with Voxel-based Trajectory-aware Reconstruction Training." IROS (2023). [paper] [code]

WACV 2023

E.T.Track: Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool.
"Efficient Visual Tracking with Exemplar Transformers." WACV (2023). [paper] [code]

AAAI 2023

CTTrack: Zikai Song, Run Luo, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang.
"Compact Transformer Tracker with Correlative Masked Modeling." AAAI (2023). [paper] [code]
TATrack: Kaijie He, Canlong Zhang, Sheng Xie, Zhixin Li, Zhiwen Wang.
"Target-Aware Tracking with Long-term Context Attention." AAAI (2023). [paper] [code]
GdaTFT: Yun Liang; Qiaoqiao Li; Fumian Long.
"Global Dilated Attention and Target Focusing Network for Robust Tracking." AAAI (2023). [paper] [code]
GLT-T: Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao, Jing Zhang.
"GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds." AAAI (2023). [paper] [extended] [code]
RSPT: Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang.
"RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking." AAAI (2023). [paper] [code]

NeurIPS 2022

ECCV 2022

OSTrack: Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan.
"Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework." ECCV (2022). [paper] [code]
Unicorn: Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu.
"Unicorn: Towards Grand Unification of Object Tracking." ECCV (2022) Oral. [paper] [code]
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." ECCV (2022). [paper] [code]
CIA: Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li.
"Hierarchical Feature Embedding for Visual Tracking." ECCV (2022). [paper] [code]
RTS: Matthieu Paul,Martin Danelljan,Christoph Mayer,Luc Van Gool.
"Robust Visual Tracking by Segmentation." ECCV (2022). [paper] [code]
AiATrack: Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan.
"AiATrack: Attention in Attention for Transformer Visual Tracking." ECCV (2022). [paper] [code]
SLTtrack: Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho.
"Towards Sequence-Level Training for Visual Tracking." ECCV (2022). [paper] [code]
FEAR: Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas.
"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker." ECCV (2022). [paper] [code]
PersonPath22: Bing Shuai, Alessandro Bergamo, Uta Buechler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe.
"Large Scale Real-World Multi-Person Tracking." ECCV (2022). [paper] [code]
STNet: Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang.
"3D Siamese Transformer Network for Single Object Tracking on Point Clouds." ECCV (2022). [paper] [code]
P3AFormer: Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia.
"Tracking Objects as Pixel-wise Distributions." ECCV (2022). [paper] [code]
TETer: Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu.
"Tracking Every Thing in the Wild." ECCV (2022). [paper] [code]
ByteTrack: Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang.
"ByteTrack: Multi-Object Tracking by Associating Every Detection Box." ECCV (2022). [paper] [code]
MOTR: Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei.
"MOTR: End-to-End Multiple-Object Tracking with Transformer." ECCV (2022). [paper] [code]
MTracker: Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu.
"Robust Multi-Object Tracking by Marginal Inference." ECCV (2022). [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]
OWTB: Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé.
"Opening up Open-World Tracking." 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]
AdaRS: Yihao Li, Jun Yu, Zhongpeng Cai, Yuwen Pan.
"Cross-Modal Target Retrieval for Tracking by Natural Language." CVPR (2022). [paper] [code]
STNet: Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang.
"Spiking Transformers for Event-based Single Object 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]

MICCAI 2022

TLT: Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang.
"Transformer Lesion Tracker." MICCAI (2022). [paper] [code]

ArXiv

P3DTrack: Jiawei He, Lue Fan, Yuqi Wang, Yuntao Chen, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang.
"Tracking Objects with 3D Representation from Videos." ArXiv (2023). [paper] [code]
SAM-DA: Liangliang Yao, Haobo Zuo, Guangze Zheng, Changhong Fu, Jia Pan.
"SAM-DA: UAV Tracks Angthing at Night with SAM-Powered Domain Adaptation." ArXiv (2023). [paper] [code]
SparseTrack: Zelin Liu, Xinggang Wang, Cheng Wang, Wenyu Liu, Xiang Bai.
"SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth." ArXiv (2023). [paper] [code]
MACFT: Yang Luo, Xiqing Guo, Mingtao Dong, Jin Yu.
"RGB-T Tracking Based on Mixed Attention." ArXiv (2023). [paper] [code]
AFNet: Jiqing Zhang, Yuanchen Wang, Wenxi Liu, Meng Li, Jinpeng Bai, Baocai Yin, Xin Yang.
"Frame-Event Alignment and Fusion Network for High Frame Rate Tracking." ArXiv (2023). [paper] [code]
MFT: Michal Neoral, Jonáš Šerých, Jiří Matas.
"MFT: Long-Term Tracking of Every Pixel." ArXiv (2023). [paper] [code]
S3Track: Fatemeh Azimi, Fahim Mannan, Felix Heide.
"S3Track: Self-supervised Tracking with Soft Assignment Flow." ArXiv (2023). [paper] [code]
PlanarTrack: Xinran Liu, Xiaoqiong Liu, Ziruo Yi, Xin Zhou, Thanh Le, Libo Zhang, Yan Huang, Qing Yang, Heng Fan.
"PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking." ArXiv (2023). [paper] [code]
TransSOT: Janani Thangavel, Thanikasalam Kokul, Amirthalingam Ramanan, Subha Fernando.
"Transformers in Single Object Tracking: An Experimental Survey." ArXiv (2023). [paper] [code]
LaGOT: Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova.
"Beyond SOT: It's Time to Track Multiple Generic Objects at Once." ArXiv (2023). [paper] [code]
ProFormer: Yabin Zhu, Chenglong Li, Xiao Wang, Jin Tang, Zhixiang Huang.
"RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning." ArXiv (2023). [paper] [code]
TADS: Xin Li, Wenjie Pei, Yaowei Wang, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang.
"Self-Supervised Tracking via Target-Aware Data Synthesis." TNNLS (2023). [paper] [code]
SiamTHN: Jiahao Bao, Kaiqiang Chen, Xian Sun, Liangjin Zhao, Wenhui Diao, Menglong Yan.
"SiamTHN: Siamese Target Highlight Network for Visual Tracking." ArXiv (2023). [paper] [code]
SRNet: Nana Fan, Qiao Liu, Xin Li, Zikun Zhou, Zhenyu He.
"Siamese Residual Network for Efficient Visual Tracking." Information Sciences (2023). [paper] [code]
ProTrack: Jinyu Yang, Zhe Li, Feng Zheng, Aleš Leonardis, Jingkuan Song.
"Prompting for Multi-Modal Tracking." ACM MM (2022). [paper] [code]
SiamTDN: Yanjie Liang, Penghui Zhao, Yifei Hao, Hanzi Wang.
"Siamese Template Diffusion Networks for Robust Visual Tracking." ICME (2022). [paper] [code]
TAT: Kaihao Lan, Haobo Jiang, Jin Xie.
"Temporal-aware Siamese Tracker: Integrate Temporal Context for 3D Object Tracking." ACCV (2022). [paper] [code]
EgoTracks: Hao Tang, Kevin Liang, Kristen Grauman, Matt Feiszli, Weiyao Wang.
"EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset." ArXiv (2022). [paper] [code]
COESOT: Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, Yaowei Wang, Yonghong Tian.
"Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric." ArXiv (2022). [paper] [code]
WATB: Fasheng Wang, Ping Cao, Fu Li, Xing Wang, Bing He, Fuming Sun.
"WATB: Wild Animal Tracking Benchmark." IJCV (2022). [paper] [code]
UAV2UAV: Yong Wang, Zirong Huang, Robert Laganière, Huanlong Zhang, Lu Ding.
"A UAV to UAV tracking benchmark." KBS (2023). [paper] [code]
UOT100: K. Panetta, L. Kezebou, V. Oludare, and S. S. Agaian.
"Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN." IEEE JOE (2022). [paper] [code]
NeighborTrack: Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao.
"NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets." ArXiv (2022). [paper] [code]
SUSHI: Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé.
"Unifying Short and Long-Term Tracking with Graph Hierarchies." ArXiv (2022). [paper] [code]
MTTSiam: Ali Sekhavati, Won-Sook Lee.
"Multi-Template Temporal Siamese Network for Long-Term Object Tracking." ArXiv (2022). [paper] [code]
PruningInTracking: Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta.
"On designing light-weight object trackers through network pruning: Use CNNs or transformers?." ArXiv (2022). [paper] [code]
ProContEXT: Jin-Peng Lan, Zhi-Qi Cheng, Jun-Yan He, Chenyang Li, Bin Luo, Xu Bao, Wangmeng Xiang, Yifeng Geng, Xuansong Xie.
"ProContEXT: Exploring Progressive Context Transformer for Tracking." ArXiv (2022). [paper] [code]
TSFMO: Zhewen Zhang, Fuliang Wu, Yuming Qiu, Jingdong Liang, Shuiwang Li.
"Tracking Small and Fast Moving Objects: A Benchmark." ArXiv (2022). [paper] [code]
SFTransT: Chuanming Tang, Xiao Wang, Yuanchao Bai, Zhe Wu, Jianlin Zhang, Yongmei Huang.
"Learning Spatial-Frequency Transformer for Visual Object Tracking." ArXiv (2022). [paper] [code]
DMTracker: Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Aleš Leonardis, Jingkuan Song.
"Learning Dual-Fused Modality-Aware Representations for RGBD Tracking." ArXiv (2022). [paper] [code]
AVisT: Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan.
"AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility." ArXiv (2022). [paper] [code]
RGBD1K: Xue-Feng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler.
"RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking." ArXiv (2022). [paper] [code]
RGBDReview: 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]
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]
VOTSurvey: Fei Chen, Xiaodong Wang, Yunxiang Zhao, Shaohe Lv, Xin Niu.
"Visual object tracking: A survey." CVIU (2022). [paper]
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]
GUSOT: Zhiruo Zhou, Hongyu Fu, Suya You, C. -C. Jay Kuo.
"GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences" ArXiv (2022). [paper] [code]
SRRT: Jiawen Zhu, Xin Chen, Dong Wang, Wenda Zhao, Huchuan Lu.
"SRRT: Search Region Regulation Tracking" ArXiv (2022). [paper] [code]
DIMBA: Xiangyu Yin, Wenjie Ruan, Jonathan Fieldsend.
"DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking" ArXiv (2022). [paper] [code]
P-SiamFC++: Xucheng Wang, Dan Zeng, Qijun Zhao, Shuiwang Li.
"Rank-Based Filter Pruning for Real-Time UAV Tracking" 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]
AFRT: Haobo Zuo, Changhong Fu, Sihang Li, Junjie Ye, and Guangze Zheng.
"End-to-End Feature Decontaminated Network for UAV 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]
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

VTT: Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan.
"VTT: Long-term Visual Tracking with Transformers." ICPR 2020. [paper] [code]
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]

ICCV 2019

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.)

paperwave/Visual-Tracking-Development

ErrorLooks like something went wrong!

About

Resources

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Languages

Error
Looks like something went wrong!

Packages