most citedDual-Hybrid Attention Network for Specular Highlight Removal

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

HBFormer: A Hybrid-Bridge Transformer for Microtumor and Miniature Organ Segmentation

Fuchen Zheng, Xinyi Chen, Weixuan Li +6

Medical image segmentation is a cornerstone of modern clinical diagnostics. While Vision Transformers that leverage shifted window-based self-attention have established new benchma…

cs.CV2025

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

Xiaojiao Guo, Xuhang Chen, Shuqiang Wang +1

Underwater imaging grapples with challenges from light-water interactions, leading to color distortions and reduced clarity. In response to these challenges, we propose a novel Col…

cs.CV2024

Underwater Image Restoration via Polymorphic Large Kernel CNNs

Xiaojiao Guo, Yihang Dong, Xuhang Chen +4

Underwater Image Restoration (UIR) remains a challenging task in computer vision due to the complex degradation of images in underwater environments. While recent approaches have l…

cs.CV2024

AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation

Fuchen Zheng, Xinyi Chen, Xuhang Chen +5

Medical image segmentation, a crucial task in computer vision, facilitates the automated delineation of anatomical structures and pathologies, supporting clinicians in diagnosis, t…

cs.CV2024★ 2 cited

Dual-Hybrid Attention Network for Specular Highlight Removal

Xiaojiao Guo, Xuhang Chen, Shenghong Luo +2

Specular highlight removal plays a pivotal role in multimedia applications, as it enhances the quality and interpretability of images and videos, ultimately improving the performan…