95 citations · 659 across the 48 of their papers we have counts for
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cs.CV2024★ 63 cited
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment
Hao Fei, Shengqiong Wu, Meishan Zhang +3
While pre-training large-scale video-language models (VLMs) has shown remarkable potential for various downstream video-language tasks, existing VLMs can still suffer from certain…
cs.CV2024★ 2 cited
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu, Hao Fei, Xiangtai Li +4
Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in processing vision-language tasks. One of the crux of MLLMs lies in vision tokenization, which…