activity
20192024
most citedFrom heavy rain removal to detail restoration: A faster and better network

41 citations · 56 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 11 cited

Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model

Yuanbo Wen, Tao Gao, Ting Chen

Existing unpaired image deraining approaches face challenges in accurately capture the distinguishing characteristics between the rainy and clean domains, resulting in residual deg…

cs.CV2023

Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing

Yuanbo Wen, Tao Gao, Ziqi Li +2

Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient re…

cs.CV2023★ 1 cited

Multi-dimension Queried and Interacting Network for Stereo Image Deraining

Yuanbo Wen, Tao Gao, Ziqi Li +2

Eliminating the rain degradation in stereo images poses a formidable challenge, which necessitates the efficient exploitation of mutual information present between the dual views.…

cs.CV2023★ 1 cited

Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal

Tao Gao, Yuanbo Wen, Kaihao Zhang +2

Rain-by-snow weather removal is a specialized task in weather-degraded image restoration aiming to eliminate coexisting rain streaks and snow particles. In this paper, we propose R…

cs.CV2022★ 41 cited

From heavy rain removal to detail restoration: A faster and better network

Yuanbo Wen, Tao Gao, Jing Zhang +2

The profound accumulation of precipitation during intense rainfall events can markedly degrade the quality of images, leading to the erosion of textural details. Despite the improv…

cs.NI2019★ 2 cited

An Optimal Game Approach for Heterogeneous Vehicular Network Selection with Varying Network Performance

Xiangmo Zhao, Xiaochi Li, Zhigang Xu +1

Most conventional heterogeneous network selection strategies applied in heterogeneous vehicular network regard the performance of each network constant in various traffic scenarios…