4 citations · 7 across the 5 of their papers we have counts for
5 papers
StableV2V: Stablizing Shape Consistency in Video-to-Video Editing
Chang Liu, Rui Li, Kaidong Zhang +2
Recent advancements of generative AI have significantly promoted content creation and editing, where prevailing studies further extend this exciting progress to video editing. In d…
Decomposition Betters Tracking Everything Everywhere
Rui Li, Dong Liu
Recent studies on motion estimation have advocated an optimized motion representation that is globally consistent across the entire video, preferably for every pixel. This is chall…
Learning Fine-Grained Features for Pixel-wise Video Correspondences
Rui Li, Shenglong Zhou, Dong Liu
Video analysis tasks rely heavily on identifying the pixels from different frames that correspond to the same visual target. To tackle this problem, recent studies have advocated f…
Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
Rui Li, Dong Liu
In low-level video analyses, effective representations are important to derive the correspondences between video frames. These representations have been learned in a self-supervise…
Motion-Focused Contrastive Learning of Video Representations
Rui Li, Yiheng Zhang, Zhaofan Qiu +3
Motion, as the most distinct phenomenon in a video to involve the changes over time, has been unique and critical to the development of video representation learning. In this paper…