The aim of Video Corpus Moment Retrieval (VCMR) is to locate temporal moments within a large video corpus on the basis of textual queries; however, it faces challenges in balancing retrieval efficiency and localization accuracy. Existing approaches typically rely on high-dimensional continuous embeddings for retrieval...
Ming-Jin Kuai, Jin-Zhuo Peng, Zhe-Qi Lv et al.· IEEE Transactions on Image P...· 0 citations
This work proposes Video-GAR, a novel framework that reframes the conventional retrieval task from superficial matching to generative understanding, positing that the capability for query reconstruction evidences deep semantic comprehension.
Mingjin Kuai, Qianyin Xiao, Juncheng Li et al.· Annual International ACM SIG...· 0 citations
EvoHIL is presented, a unified framework that adapts the reward model, action generator, and visual do main within a staged human-in-the-loop learning process to improve task success, agreement with human-confirmation labels, motion smoothness, and completion time relative to human-in-the-loop and imitation baselines.
Shuoqing Zhang, Tongtong Cheng, Xiru Gao et al.· 0 citations
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