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20242026
most citedA Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

9 citations · 17 across the 7 of their papers we have counts for

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cs.CV2026

SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect Analysis

Shuxian Zhao, Jie Gui, Baosheng Yu +1

Steel surface defect analysis is critical for industrial quality control, yet existing benchmarks rely primarily on label-only annotations, limiting fine-grained semantic understan…

cs.CV2025

The Devil is in the Darkness: Diffusion-Based Nighttime Dehazing Anchored in Brightness Perception

Xiaofeng Cong, Yu-Xin Zhang, Haoran Wei +5

While nighttime image dehazing has been extensively studied, converting nighttime hazy images to daytime-equivalent brightness remains largely unaddressed. Existing methods face tw…

cs.CV2024

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective

Jie Gui, Chengze Jiang, Minjing Dong +4

While adversarial training is an effective defense method against adversarial attacks, it notably increases the training cost. To this end, fast adversarial training (FAT) is prese…

cs.CV2024★ 9 cited

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

Xiaofeng Cong, Yu Zhao, Jie Gui +2

Underwater image enhancement (UIE) presents a significant challenge within computer vision research. Despite the development of numerous UIE algorithms, a thorough and systematic r…

cs.CV2024★ 3 cited

Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy

Yu-Xin Zhang, Jie Gui, Baosheng Yu +4

Point cloud registration involves determining a rigid transformation to align a source point cloud with a target point cloud. This alignment is fundamental in applications such as…