29 citations · 148 across the 21 of their papers we have counts for
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cs.CV2022
Visual Answer Localization with Cross-modal Mutual Knowledge Transfer
Yixuan Weng, Bin Li
The goal of visual answering localization (VAL) in the video is to obtain a relevant and concise time clip from a video as the answer to the given natural language question. Early…
cs.CV2022★ 14 cited
Learning to Locate Visual Answer in Video Corpus Using Question
Bin Li, Yixuan Weng, Bin Sun +1
We introduce a new task, named video corpus visual answer localization (VCVAL), which aims to locate the visual answer in a large collection of untrimmed instructional videos using…
cs.CV2022★ 29 cited
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video
Bin Li, Yixuan Weng, Bin Sun +1
The temporal answering grounding in the video (TAGV) is a new task naturally derived from temporal sentence grounding in the video (TSGV). Given an untrimmed video and a text quest…