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Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to localize an arbitrary number of targets based on a language expression and continuously track them in a video.
A computational approach to edge detection
John Canny · 1986
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Visual object tracking using adaptive correlation filters
David S Bolme, J Ross Beveridge, Bruce A Draper, and Yui Man Lui · 2010
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
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Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L Yuille, and Kevin Murphy · 2016
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Modeling context in referring expressions
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg · 2016
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Attention is all you need
A Vaswani · 2017
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Character-level language modeling with deeper self-attention
Rami Al-Rfou, Dokook Choe, Noah Constant, Mandy Guo, and Llion Jones · 2019
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Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe · 2019
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Talk2car: Taking control of your self-driving car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, and Marie-Francine Moens · 2019
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Lasot: A high-quality benchmark for large-scale single object tracking
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, and Haibin Ling · 2019
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Video object segmentation with language referring expressions
Anna Khoreva, Anna Rohrbach, and Bernt Schiele · 2019
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Learning to assemble neural module tree networks for visual grounding
Daqing Liu, Hanwang Zhang, Feng Wu, and Zheng-Jun Zha · 2019
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Generalized intersection over union: A metric and a loss for bounding box regression
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Learning a neural solver for multiple object tracking
Guillem Brasó and Laura Leal-Taixé · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2020
Cited alongside, same era.
Motchallenge: A benchmark for single-camera multiple target tracking
Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, and Laura Leal-Taixé · 2021
Cited alongside, same era.
Hota: A higher order metric for evaluating multi-object tracking
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixé, and Bastian Leibe · 2021
Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
Later among the works it cites.
Bytetrack: Multi-object tracking by associating every detection box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, and Xinggang Wang · 2022
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Later among the works it cites.
Referring multi-object tracking
Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, and Jianbing Shen · 2023
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Bridging the gap between end-to-end and non-end-to-end multi-object tracking
Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, and Lin Ma · 2023
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Cited alongside, same era.
Exploring simple 3d multi-object tracking for autonomous driving
Chenxu Luo, Xiaodong Yang, and Alan Yuille · 2021
Cited alongside, same era.
Conditional detr for fast training convergence
Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, and Jingdong Wang · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Fairmot: On the fairness of detection and re-identification in multiple object tracking
Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, and Wenyu Liu · 2021
Cited alongside, same era.
End-to-end referring video object segmentation with multimodal transformers
Adam Botach, Evgenii Zheltonozhskii, and Chaim Baskin · 2022
Cited alongside, same era.
Memot: Multi-object tracking with memory
Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto · 2022
Cited alongside, same era.
Visual prompt tuning
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim · 2022
Cited alongside, same era.
Motrv2: Bootstrapping end-to-end multi-object tracking by pretrained object detectors
Yuang Zhang, Tiancai Wang, and Xiangyu Zhang · 2023
Later among the works it cites.
Taskclip: Extend large vision-language model for task oriented object detection
Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, and Mohsen Imani · 2024
Closest in time.
ikun: Speak to trackers without retraining
Yunhao Du, Cheng Lei, Zhicheng Zhao, and Fei Su · 2024
Closest in time.
Sam 2: Segment anything in images and videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, et al · 2024
Closest in time.
Hyperseg: Towards universal visual segmentation with large language model
Cong Wei, Yujie Zhong, Haoxian Tan, Yong Liu, Zheng Zhao, Jie Hu, and Yujiu Yang · 2024
Closest in time.
Visa: Reasoning video object segmentation via large language models
Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang, Weidi Xie, and Efstratios Gavves · 2024
Closest in time.
Bootstrapping referring multi-object tracking
Yani Zhang, Dongming Wu, Wencheng Han, and Xingping Dong · 2024
Closest in time.
Refergpt: Towards zero-shot referring multi-object tracking
Tzoulio Chamiti, Leandro Di Bella, Adrian Munteanu, and Nikos Deligiannis · 2025
Closest in time.
Cognitive disentanglement for referring multi-object tracking
Shaofeng Liang, Runwei Guan, Wangwang Lian, Daizong Liu, Xiaolou Sun, Dongming Wu, Yutao Yue, Weiping Ding, and Hui Xiong · 2025
Closest in time.
Glus: Global-local reasoning unified into a single large language model for video segmentation
Lang Lin, Xueyang Yu, Ziqi Pang, and Yu-Xiong Wang · 2025
Closest in time.
Hff-tracker: A hierarchical fine-grained fusion tracker for referring multi-object tracking
Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, and Xi Chen · 2025
Closest in time.