33 citations · 53 across the 33 of their papers we have counts for
12 papers · 1 filter
Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
Hao Tang, Junhao Lu, Guoheng Huang +5
In Few-Shot Learning (FSL), traditional metric-based approaches often rely on global metrics to compute similarity. However, in natural scenes, the spatial arrangement of key insta…
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities
Yejing Huo, Guoheng Huang, Lianglun Cheng +5
Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies…
TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation
Ruicheng Zhang, Guoheng Huang, Yejing Huo +4
Generative Adversarial Networks (GANs) have emerged as a prominent research focus for image editing tasks, leveraging the powerful image generation capabilities of the GAN framewor…
Test-Time Intensity Consistency Adaptation for Shadow Detection
Leyi Zhu, Weihuang Liu, Xinyi Chen +4
Shadow detection is crucial for accurate scene understanding in computer vision, yet it is challenged by the diverse appearances of shadows caused by variations in illumination, ob…
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
Fuchen Zheng, Quanjun Li, Weixuan Li +5
Medical image segmentation, a critical application of semantic segmentation in healthcare, has seen significant advancements through specialized computer vision techniques. While d…
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…
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng, Xuhang Chen, Weihuang Liu +5
In medical image segmentation, specialized computer vision techniques, notably transformers grounded in attention mechanisms and residual networks employing skip connections, have…
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…
MFDNet: Multi-Frequency Deflare Network for Efficient Nighttime Flare Removal
Yiguo Jiang, Xuhang Chen, Chi-Man Pun +2
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photos, affecting the photos' visual quality. The main challenge in flare…
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Yihang Dong, Xuhang Chen, Yanyan Shen +3
Emotion recognition based on Electroencephalography (EEG) has gained significant attention and diversified development in fields such as neural signal processing and affective comp…
Adaptive Query Prompting for Multi-Domain Landmark Detection
Yuhui Li, Qiusen Wei, Guoheng Huang +5
Medical landmark detection is crucial in various medical imaging modalities and procedures. Although deep learning-based methods have achieve promising performance, they are mostly…
QEAN: Quaternion-Enhanced Attention Network for Visual Dance Generation
Zhizhen Zhou, Yejing Huo, Guoheng Huang +4
The study of music-generated dance is a novel and challenging Image generation task. It aims to input a piece of music and seed motions, then generate natural dance movements for t…