14 citations · 33 across the 8 of their papers we have counts for
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cs.CV2023★ 3 cited
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
Hongxiang Li, Meng Cao, Xuxin Cheng +3
The recent video grounding works attempt to introduce vanilla contrastive learning into video grounding. However, we claim that this naive solution is suboptimal. Contrastive learn…
cs.CV2023★ 8 cited
PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
Ziyu Yao, Xuxin Cheng, Yuexian Zou
This paper presents a significant contribution to the field of repetitive action counting through the introduction of a new approach called Pose Saliency Representation. The propos…
cs.CV2023★ 1 cited
Exploiting Auxiliary Caption for Video Grounding
Hongxiang Li, Meng Cao, Xuxin Cheng +3
Video grounding aims to locate a moment of interest matching the given query sentence from an untrimmed video. Previous works ignore the {sparsity dilemma} in video annotations, wh…