3 citations · 8 across the 6 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★ 3 cited
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation
Yaowei Li, Bang Yang, Xuxin Cheng +3
Automatic radiology report generation has attracted enormous research interest due to its practical value in reducing the workload of radiologists. However, simultaneously establis…
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…