4 citations · 4 across the 4 of their papers we have counts for
4 papers
PercepCap: Video Captioner with Structured Spatio-Temporal Perception
Yifan Xu, Zihao Wang, Zhixiao Wang +6
Video captioning requires fine-grained spatio-temporal understanding of videos, including spatial perception of where objects are located and temporal perception of when events occ…
SAM 2++: Tracking Anything at Any Granularity
Jiaming Zhang, Cheng Liang, Yichun Yang +7
Due to the varying granularity of target states across different tasks, most existing trackers are tailored to a single task, which specificity limits their generalization, prevent…
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval
Yifan Xu, Xinhao Li, Yichun Yang +3
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…
SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes
Yutao Cui, Chenkai Zeng, Xiaoyu Zhao +3
Multi-object tracking in sports scenes plays a critical role in gathering players statistics, supporting further analysis, such as automatic tactical analysis. Yet existing MOT ben…