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20232025
most citedFrom Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2025

Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection

Houzhang Fang, Xiaolin Wang, Zengyang Li +4

Infrared unmanned aerial vehicle (UAV) images captured using thermal detectors are often affected by temperature dependent low-frequency nonuniformity, which significantly reduces…

cs.CV20241 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

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

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…

cs.CV20232 cited

From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal

Yun Guo, Xueyao Xiao, Yi Chang +2

Learning-based image deraining methods have made great progress. However, the lack of large-scale high-quality paired training samples is the main bottleneck to hamper the real ima…