4 citations · 7 across the 12 of their papers we have counts for
4 papers · 1 filter
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval
Rui Cai, Zhiyu Dong, Jianfeng Dong +1
Existing cross-modal retrieval methods typically rely on large-scale vision-language pair data. This makes it challenging to efficiently develop a cross-modal retrieval model for u…
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
Xiang Fang, Wanlong Fang, Changshuo Wang +5
Given some video-query pairs with untrimmed videos and sentence queries, temporal sentence grounding (TSG) aims to locate query-relevant segments in these videos. Although previous…
Representation Alignment Contrastive Regularization for Multi-Object Tracking
Zhonglin Liu, Shujie Chen, Jianfeng Dong +2
Achieving high-performance in multi-object tracking algorithms heavily relies on modeling spatio-temporal relationships during the data association stage. Mainstream approaches enc…
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
Yabing Wang, Fan Wang, Jianfeng Dong +1
Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annot…