5 citations · 10 across the 8 of their papers we have counts for
8 papers
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…
DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
Shuhong Liu, Xiang Chen, Hongming Chen +2
Reconstruction under adverse rainy conditions poses significant challenges due to reduced visibility and the distortion of visual perception. These conditions can severely impair t…
Technique Report of CVPR 2024 PBDL Challenges
Ying Fu, Yu Li, Shaodi You +96
The intersection of physics-based vision and deep learning presents an exciting frontier for advancing computer vision technologies. By leveraging the principles of physics to info…
Dual-Path Multi-Scale Transformer for High-Quality Image Deraining
Huiling Zhou, Xianhao Wu, Hongming Chen
Despite the superiority of convolutional neural networks (CNNs) and Transformers in single-image rain removal, current multi-scale models still face significant challenges due to t…
Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method
Hongming Chen, Xiang Chen, Chen Wu +3
Despite significant progress has been made in image deraining, existing approaches are mostly carried out on low-resolution images. The effectiveness of these methods on high-resol…
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing
Huiling Zhou, Xianhao Wu, Hongming Chen +2
Remote sensing image dehazing (RSID) aims to remove nonuniform and physically irregular haze factors for high-quality image restoration. The emergence of CNNs and Transformers has…
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li +109
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery
Wenhui Chang, Hongming Chen, Xin He +2
Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and degrade image quality. Despite recent progress in image deraining methods and datasets, t…