4 citations · 5 across the 4 of their papers we have counts for
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cs.CV2025
An Empirical Study on How Video-LLMs Answer Video Questions
Chenhui Gou, Ziyu Ma, Zicheng Duan +6
Taking advantage of large-scale data and pretrained language models, Video Large Language Models (Video-LLMs) have shown strong capabilities in answering video questions. However,…
cs.CV2024★ 1 cited
LongVLM: Efficient Long Video Understanding via Large Language Models
Yuetian Weng, Mingfei Han, Haoyu He +2
Empowered by Large Language Models (LLMs), recent advancements in Video-based LLMs (VideoLLMs) have driven progress in various video understanding tasks. These models encode video…
cs.CV2023★ 4 cited
Mask Propagation for Efficient Video Semantic Segmentation
Yuetian Weng, Mingfei Han, Haoyu He +4
Video Semantic Segmentation (VSS) involves assigning a semantic label to each pixel in a video sequence. Prior work in this field has demonstrated promising results by extending im…