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cs.CV2025

Defense against Unauthorized Distillation in Image Restoration via Feature Space Perturbation

Han Hu, Zhuoran Zheng, Chen Lyu

Knowledge distillation (KD) attacks pose a significant threat to deep model intellectual property by enabling adversaries to train student networks using a teacher model's outputs.…

cs.CV2025

Foggy Crowd Counting: Combining Physical Priors and KAN-Graph

Yuhao Wang, Zhuoran Zheng, Han Hu +3

Aiming at the key challenges of crowd counting in foggy environments, such as long-range target blurring, local feature degradation, and image contrast attenuation, this paper prop…

cs.CV2025

Hazy Pedestrian Trajectory Prediction via Physical Priors and Graph-Mamba

Jian Chen, Zhuoran Zheng, Han Hu +4

To address the issues of physical information degradation and ineffective pedestrian interaction modeling in pedestrian trajectory prediction under hazy weather conditions, we prop…

cs.CV2025

VAMamba: An Efficient Visual Adaptive Mamba for Image Restoration

Han Hu, Zhuoran Zheng, Liang Li +1

Recent Mamba-based image restoration methods have achieved promising results but remain limited by fixed scanning patterns and inefficient feature utilization. Conventional Mamba a…

cs.CV2025

AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting

Xin Su, Chen Wu, Yu Zhang +2

Restoring images afflicted by complex real-world degradations remains challenging, as conventional methods often fail to adapt to the unique mixture and severity of artifacts prese…

cs.CV2024

GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering

Yanyan Li, Chenyu Lyu, Yan Di +3

During the Gaussian Splatting optimization process, the scene's geometry can gradually deteriorate if its structure is not deliberately preserved, especially in non-textured region…