351 citations · 1.1k across the 28 of their papers we have counts for
5 papers · 1 filter
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…
Flow-Guided Transformer for Video Inpainting
Kaidong Zhang, Jingjing Fu, Dong Liu
We propose a flow-guided transformer, which innovatively leverage the motion discrepancy exposed by optical flows to instruct the attention retrieval in transformer for high fideli…
Recurrent Dynamic Embedding for Video Object Segmentation
Mingxing Li, Li Hu, Zhiwei Xiong +3
Space-time memory (STM) based video object segmentation (VOS) networks usually keep increasing memory bank every several frames, which shows excellent performance. However, 1) the…
Neural Compression-Based Feature Learning for Video Restoration
Cong Huang, Jiahao Li, Bin Li +2
How to efficiently utilize the temporal features is crucial, yet challenging, for video restoration. The temporal features usually contain various noisy and uncorrelated informatio…
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…