7 citations · 8 across the 10 of their papers we have counts for
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cs.CV2026
CODI: Improving Self-Supervised Vision Transformers with Cross Distillation
Siran Dai, Qianqian Xu, Peisong Wen +3
Self-supervised Vision Transformers learn strong image-level representations, but their patch-level representations can be unreliable for dense prediction. We study this mismatch a…
cs.CV2026
Training-Free Composed Video Retrieval via Visual Representation-Guided Video-LLM Reasoning
Yang Liu, Qianqian Xu, Peisong Wen +2
Recent advances in large vision-language models have expanded video retrieval from simple text-based search to more flexible scenarios, where users may specify the desired result t…
cs.CV2026
From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
Yang Liu, Qianqian Xu, Peisong Wen +3
Recent studies have made notable progress in video representation learning by transferring image-pretrained models to video tasks, typically with complex temporal modules and video…