no code implementations • 1 Feb 2024 • Yuang Zhang, Haonan An, Zhengru Fang, Guowen Xu, Yuan Zhou, Xianhao Chen, Yuguang Fang
Moreover, in the context of collaborative perception, it is important to recognize that not all CAVs contribute valuable data, and some CAV data even have detrimental effects on collaborative perception.
no code implementations • 20 Nov 2023 • Shuailin Li, Yuang Zhang, Yucheng Zhao, Qiuyue Wang, Fan Jia, Yingfei Liu, Tiancai Wang
Despite the rapid development of video Large Language Models (LLMs), a comprehensive evaluation is still absent.
1 code implementation • ICCV 2023 • Dongming Wu, Tiancai Wang, Yuang Zhang, Xiangyu Zhang, Jianbing Shen
Referring video object segmentation (RVOS) aims at segmenting an object in a video following human instruction.
Referring Expression Segmentation Referring Video Object Segmentation +2
1 code implementation • 26 May 2023 • Yihong Huang, Yuang Zhang, Liping Wang, Xuemin Lin
To our knowledge, our approach is the first to enable reliable identification of the optimal training iteration during training without requiring any labels.
no code implementations • 23 May 2023 • En Yu, Tiancai Wang, Zhuoling Li, Yuang Zhang, Xiangyu Zhang, Wenbing Tao
Although end-to-end multi-object trackers like MOTR enjoy the merits of simplicity, they suffer from the conflict between detection and association seriously, resulting in unsatisfactory convergence dynamics.
4 code implementations • CVPR 2023 • Yuang Zhang, Tiancai Wang, Xiangyu Zhang
In this paper, we propose MOTRv2, a simple yet effective pipeline to bootstrap end-to-end multi-object tracking with a pretrained object detector.
Ranked #2 on Multi-Object Tracking on DanceTrack (using extra training data)
Multi-Object Tracking Multiple Object Tracking with Transformer +2
3 code implementations • 27 Oct 2022 • Yuang Zhang, Tiancai Wang, Weiyao Lin, Xiangyu Zhang
We present our 1st place solution to the Group Dance Multiple People Tracking Challenge.
Multi-Object Tracking Multiple Object Tracking with Transformer +1
2 code implementations • CVPR 2022 • Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun
Experiments show that our method can significantly boost the performance of query-based detectors in crowded scenes.
Ranked #1 on Object Detection on CrowdHuman
2 code implementations • 7 May 2021 • Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei
Temporal modeling of objects is a key challenge in multiple object tracking (MOT).
Ranked #1 on Multi-Object Tracking on MOT17 (e2e-MOT metric)
Multi-Object Tracking Multiple Object Tracking with Transformer +1
no code implementations • CVPR 2021 • Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin
Pedestrian detection in a crowd is a challenging task due to a high number of mutually-occluding human instances, which brings ambiguity and optimization difficulties to the current IoU-based ground truth assignment procedure in classical object detection methods.