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One of the recent trends in vision problems is to use natural language captions to describe the objects of interest.
Evaluating multiple object tracking performance: the clear mot metrics
Keni Bernardin and Rainer Stiefelhagen · 2008
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Tensor decompositions and applications
Tamara G Kolda and Brett W Bader · 2009
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Referitgame: Referring to objects in photographs of natural scenes
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, and Tamara Berg · 2014
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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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Object tracking benchmark
Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang · 2015
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Object tracking benchmark
Yi Wu, Jongwoo Lim, and Ming Hsuan Yang · 2015
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Encoding color information for visual tracking: Algorithms and benchmark
Pengpeng Liang, Erik Blasch, and Haibin Ling · 2015
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A novel performance evaluation methodology for single-target trackers
Matej Kristan, Jiri Matas, Aleš Leonardis, Tomas Vojir, Roman Pflugfelder, Gustavo Fernandez, Georg Nebehay, Fatih Porikli, and Luka Čehovin · 2016
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MOT16: A benchmark for multi-object tracking
A. Milan, L. Leal-Taixé, I. Reid, S. Roth, and K. Schindler · 2016
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NUS-PRO: A New Visual Tracking Challenge
A Li, M Lin, Y Wu, MH Yang, and S Yan · 2016
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Visual object tracking for unmanned aerial vehicles: A benchmark and new motion models
Siyi Li and Dit-Yan Yeung · 2017
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Need for speed: A benchmark for higher frame rate object tracking
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, and Simon Lucey · 2017
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Youtube-boundingboxes: A large high-precision human-annotated data set for object detection in video
Esteban Real, Jonathon Shlens, Stefano Mazzocchi, Xin Pan, and Vincent Vanhoucke · 2017
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The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset, Federico Perazzi, Sergi Caelles, Pablo Arbeláez, Alex Sorkine-Hornung, and Luc Van Gool · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
Bryan A. Plummer, Liwei Wang, Christopher M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, and Svetlana Lazebnik · 2017
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Trackingnet: A large-scale dataset and benchmark for object tracking in the wild
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, and Bernard Ghanem · 2018
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Long-term tracking in the wild: A benchmark
Jack Valmadre, Luca Bertinetto, Joao F Henriques, Ran Tao, Andrea Vedaldi, Arnold WM Smeulders, Philip HS Torr, and Efstratios Gavves · 2018
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Interactive grounded language acquisition and generalization in a 2d world
Haonan Yu, Haichao Zhang, and Wei Xu · 2018
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YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
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Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
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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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Got-10k: A large high-diversity benchmark for generic object tracking in the wild
Lianghua Huang, Xin Zhao, and Kaiqi Huang · 2019
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Video object segmentation with language referring expressions
Anna Khoreva, Anna Rohrbach, and Bernt Schiele · 2019
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Video instance segmentation
Linjie Yang, Yuchen Fan, and Ning Xu · 2019
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
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Hacs: Human action clips and segments dataset for recognition and temporal localization
Deformable {detr}: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2021
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End-to-end video instance segmentation with transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, and Huaxia Xia · 2021
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Quasi-dense similarity learning for multiple object tracking
Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, and Fisher Yu · 2021
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Track to detect and segment: An online multi-object tracker
Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, and Junsong Yuan · 2021
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Three-dimensional self-attention conditional gan with spectral normalization for multimodal neuroimaging synthesis
Haoyu Lan, Alzheimer Disease Neuroimaging Initiative, Arthur W Toga, and Farshid Sepehrband · 2021
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Hang Zhao, Antonio Torralba, Lorenzo Torresani, and Zhicheng Yan · 2019
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Generalized intersection over union
Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Tao: A large-scale benchmark for tracking any object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan · 2020
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Mot20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixé · 2020
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BDD100K: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
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Urvos: Unified referring video object segmentation network with a large-scale benchmark
Seonguk Seo, Joon-Young Lee, and Bohyung Han · 2020
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Self-supervised domain adaptation in crowd counting
Pha Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, and Khoa Luu · 2022
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Depth perspective-aware multiple object tracking
Kha Gia Quach, Huu Le, Pha Nguyen, Chi Nhan Duong, Tien Dai Bui, and Khoa Luu · 2022
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Trackformer: Multi-object tracking with transformers
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer · 2022
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Visual cluster grounding for image captioning
Wenhui Jiang, Minwei Zhu, Yuming Fang, Guangming Shi, Xiaowei Zhao, and Yang Liu · 2022
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Grit: A generative region-to-text transformer for object understanding
Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, and Lijuan Wang · 2022
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Cross-modal target retrieval for tracking by natural language
Yihao Li, Jun Yu, Zhongpeng Cai, and Yuwen Pan · 2022
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Towards general purpose vision systems: An end-to-end task-agnostic vision-language architecture
Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, and Derek Hoiem · 2022
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Occluded video instance segmentation: A benchmark
Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip HS Torr, and Song Bai · 2022
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Tracking every thing in the wild
Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E Huang, and Fisher Yu · 2022
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Motr: End-to-end multiple-object tracking with transformer
Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, and Yichen Wei · 2022
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Multi-camera multi-object tracking on the move via single-stage global association approach
Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, and Khoa Luu · 2022
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Multi-camera multiple 3d object tracking on the move for autonomous vehicles
Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, and Khoa Luu · 2022
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Bot-sort: Robust associations multi-pedestrian tracking
Nir Aharon, Roy Orfaig, and Ben-Zion Bobrovsky · 2022
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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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Tubedetr: Spatio-temporal video grounding with transformers
Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, and Cordelia Schmid · 2022
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Opening up open world tracking
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, and Laura Leal-Taixé · 2022
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Utopia: Unconstrained tracking objects without preliminary examination via cross-domain adaptation
Pha Nguyen, Kha Gia Quach, John Gauch, Samee U Khan, Bhiksha Raj, and Khoa Luu · 2023
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Referring multi-object tracking
Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, and Jianbing Shen · 2023
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Transformer vision-language tracking via proxy token guided cross-modal fusion
Haojie Zhao, Xiao Wang, Dong Wang, Huchuan Lu, and Xiang Ruan · 2023
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Ovtrack: Open-vocabulary multiple object tracking
Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, and Fisher Yu · 2023
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Gpt-4 technical report
OpenAI · 2023
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