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20202026
most citedAIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

20 citations · 42 across the 14 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

Underwater Organism Color Enhancement via Color Code Decomposition, Adaptation and Interpolation

Xiaofeng Cong, Jing Zhang, Yeying Jin +5

Underwater images often suffer from quality degradation due to absorption and scattering effects. Most existing underwater image enhancement algorithms produce a single, fixed-colo…

eess.IV2024

Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models

Siyu Zhai, Zhibo He, Xiaofeng Cong +6

Learning-based methods for underwater image enhancement (UWIE) have undergone extensive exploration. However, learning-based models are usually vulnerable to adversarial examples s…

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

Linearly-evolved Transformer for Pan-sharpening

Junming Hou, Zihan Cao, Naishan Zheng +6

Vision transformer family has dominated the satellite pan-sharpening field driven by the global-wise spatial information modeling mechanism from the core self-attention ingredient.…

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…

cs.CV2024★ 2 cited

A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint

Xiaofeng Cong, Jie Gui, Jing Zhang +2

Existing research based on deep learning has extensively explored the problem of daytime image dehazing. However, few studies have considered the characteristics of nighttime hazy…