activity
20242026
most citedLong-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

1 citations · 5 across the 25 of their papers we have counts for

collaborators
Showing 2024Show all

10 papers · 1 filter

cs.CV2024★ 1 cited

Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation

Hanyu Zhou, Yi Chang, Zhiwei Shi +4

Optical flow has made great progress in clean scenes, while suffers degradation under adverse weather due to the violation of the brightness constancy and gradient continuity assum…

cs.CV2024★ 1 cited

CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving

Shihan Peng, Hanyu Zhou, Hao Dong +5

Conventional frame camera is the mainstream sensor of the autonomous driving scene perception, while it is limited in adverse conditions, such as low light. Event camera with high…

cs.CV2024★ 1 cited

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

Shengqi Xu, Run Sun, Yi Chang +3

Long-range imaging inevitably suffers from atmospheric turbulence with severe geometric distortions due to random refraction of light. The further the distance, the more severe the…

cs.CV2024★ 1 cited

UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation

Xiang Wang, Shiwei Zhang, Changxin Gao +5

Recent diffusion-based human image animation techniques have demonstrated impressive success in synthesizing videos that faithfully follow a given reference identity and a sequence…

cs.CV2024

LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising

Yuxing Duan, Shihan Peng, Lin Zhu +4

Event camera has significant advantages in capturing dynamic scene information while being prone to noise interference, particularly in challenging conditions like low threshold an…

cs.CV2024★ 1 cited

Seeing Motion at Nighttime with an Event Camera

Haoyue Liu, Shihan Peng, Lin Zhu +3

We focus on a very challenging task: imaging at nighttime dynamic scenes. Most previous methods rely on the low-light enhancement of a conventional RGB camera. However, they would…

cs.CV2024

GT-Rain Single Image Deraining Challenge Report

Howard Zhang, Yunhao Ba, Ethan Yang +20

This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phen…

cs.CV2024

JSTR: Joint Spatio-Temporal Reasoning for Event-based Moving Object Detection

Hanyu Zhou, Zhiwei Shi, Hao Dong +3

Event-based moving object detection is a challenging task, where static background and moving object are mixed together. Typically, existing methods mainly align the background eve…

cs.CV2024

Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow

Hanyu Zhou, Yi Chang, Zhiwei Shi +1

Single RGB or LiDAR is the mainstream sensor for the challenging scene flow, which relies heavily on visual features to match motion features. Compared with single modality, existi…

cs.CV2024

Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow

Hanyu Zhou, Yi Chang, Haoyue Liu +4

We investigate a challenging task of nighttime optical flow, which suffers from weakened texture and amplified noise. These degradations weaken discriminative visual features, thus…