2 citations · 2 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024
Disentangle and denoise: Tackling context misalignment for video moment retrieval
Kaijing Ma, Han Fang, Xianghao Zang +7
Video Moment Retrieval, which aims to locate in-context video moments according to a natural language query, is an essential task for cross-modal grounding. Existing methods focus…
cs.CV2024
ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
Han Fang, Xianghao Zang, Chao Ban +5
Text-video retrieval aims to find the most relevant cross-modal samples for a given query. Recent methods focus on modeling the whole spatial-temporal relations. However, since vid…