7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 7 cited
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal
Yeying Jin, Wending Yan, Wenhan Yang +1
Few existing image defogging or dehazing methods consider dense and non-uniform particle distributions, which usually happen in smoke, dust and fog. Dealing with these dense and/or…
cs.CV2022
Feature-Aligned Video Raindrop Removal with Temporal Constraints
Wending Yan, Lu Xu, Wenhan Yang +1
Existing adherent raindrop removal methods focus on the detection of the raindrop locations, and then use inpainting techniques or generative networks to recover the background beh…
cs.CV2020★ 3 cited
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning
Wending Yan, Aashish Sharma, Robby T. Tan
In dense foggy scenes, existing optical flow methods are erroneous. This is due to the degradation caused by dense fog particles that break the optical flow basic assumptions such…