3 citations · 3 across the 7 of their papers we have counts for
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Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
Rongkang Dong, Cuixin Yang, Cong Zhang +2
Facial Expression Recognition (FER) is essential for human-machine interaction, as it enables machines to interpret human emotions and internal states from facial affective behavio…
SANet: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
Hao Xie, Zixun Huang, Yushen Zuo +6
Spine segmentation, based on ultrasound volume projection imaging (VPI), plays a vital role for intelligent scoliosis diagnosis in clinical applications. However, this task faces s…
Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework
Zongqi He, Hanmin Li, Kin-Chung Chan +5
3D Gaussian Splatting (3DGS) has demonstrated remarkable real-time performance in novel view synthesis, yet its effectiveness relies heavily on dense multi-view inputs with precise…
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Jiawei Wang, Yushen Zuo, Yuanjun Chai +4
Vision-Language Models (VLMs) extend the capabilities of Large Language Models (LLMs) by incorporating visual information, yet they remain vulnerable to jailbreak attacks, especial…
See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization
Zongqi He, Zhe Xiao, Kin-Chung Chan +3
3D Gaussian Splatting (3DGS) has shown remarkable performance in novel view synthesis. However, its rendering quality deteriorates with sparse inphut views, leading to distorted co…
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
Yushen Zuo, Jun Xiao, Kin-Chung Chan +5
The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applyi…