6 papers · 1 filter
Rethinking Rainy 3D Scene Reconstruction via Perspective Transforming and Brightness Tuning
Qianfeng Yang, Xiang Chen, Pengpeng Li +3
Rain degrades the visual quality of multi-view images, which are essential for 3D scene reconstruction, resulting in inaccurate and incomplete reconstruction results. Existing data…
Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
Qiyuan Guan, Xiang Chen, Guiyue Jin +4
Compared to daytime image deraining, nighttime image deraining poses significant challenges due to inherent complexities of nighttime scenarios and the lack of high-quality dataset…
SmokeBench: A Real-World Dataset for Surveillance Image Desmoking in Early-Stage Fire Scenes
Wenzhuo Jin, Qianfeng Yang, Xianhao Wu +3
Early-stage fire scenes (0-15 minutes after ignition) represent a crucial temporal window for emergency interventions. During this stage, the smoke produced by combustion significa…
WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
Qiyuan Guan, Qianfeng Yang, Xiang Chen +3
Existing all-in-one image restoration approaches, which aim to handle multiple weather degradations within a single framework, are predominantly trained and evaluated using mixed s…
Learning A Spiking Neural Network for Efficient Image Deraining
Tianyu Song, Guiyue Jin, Pengpeng Li +3
Recently, spiking neural networks (SNNs) have demonstrated substantial potential in computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network, called…
Edge Computing Enabled Real-Time Video Analysis via Adaptive Spatial-Temporal Semantic Filtering
Xiang Chen, Wenjie Zhu, Jiayuan Chen +3
This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object detect…