Yichun Yang — accepted AI-conference papers

2026

CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval

Yifan Xu, Xinhao Li, Yichun Yang, Desen Meng, Rui Huang, Limin Wang

ICLR 2026poster

Video understanding, including video captioning and retrieval, is still a great challenge for video-language models (VLMs). The existing video retrieval and caption benchmarks only include short descriptions, limits their ability of detailed video understanding evaluation. To address this problem, w…

Cited by 0 Source ↗code ↗Scholar ↗

2023

SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes

Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang

ICCV 2023poster

Multi-object tracking (MOT) in sports scenes plays a critical role in gathering players statistics, supporting further applications, such as automatic tactical analysis. Yet existing MOT benchmarks cast little attention on this domain. In this work, we present a new large-scale multi-object tracking…

Cited by 103 PDF ↗code ↗Scholar ↗