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20242026
most citedClasses Are Not Equal: An Empirical Study on Image Recognition Fairness

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cs.CV2026

From Uncertainty to Stability and Fidelity: Guiding Sparse-View 3D Gaussian Splatting with Fisher Information

Junbao Zhou, Qingshan Xu, Yuan Zhou +7

3D Gaussian Splatting (3DGS) has emerged as a promising technique for novel view synthesis. However, 3DGS requires dense input views to achieve high-quality rendering. In sparse-vi…

cs.CV2026

NOUS: Video-Driven 3D Human Reaction Generation via Observation-Reaction Mutual Steering

Yuan Zhou, Luanyuan Dai, Yongzhi Li +7

Video-driven 3D human reaction generation aims to synthesize 3D human motion in response to the action observed in a video, playing an important role in interactive multimedia syst…

cs.CV2025

Parallel Diffusion Solver via Residual Dirichlet Policy Optimization

Ruoyu Wang, Ziyu Li, Beier Zhu +5

Diffusion models (DMs) have achieved state-of-the-art generative performance but suffer from high sampling latency due to their sequential denoising nature. Existing solver-based a…

cs.CV2025

Hierarchical Semantic Alignment for Image Clustering

Xingyu Zhu, Beier Zhu, Yunfan Li +4

Image clustering is a classic problem in computer vision, which categorizes images into different groups. Recent studies utilize nouns as external semantic knowledge to improve clu…

cs.CV2025

Enhancing CLIP Robustness via Cross-Modality Alignment

Xingyu Zhu, Beier Zhu, Shuo Wang +2

Vision-language models (VLMs) such as CLIP demonstrate strong generalization in zero-shot classification but remain highly vulnerable to adversarial perturbations. Existing methods…

cs.CV2025

Real-Time Motion-Controllable Autoregressive Video Diffusion

Kesen Zhao, Jiaxin Shi, Beier Zhu +5

Real-time motion-controllable video generation remains challenging due to the inherent latency of bidirectional diffusion models and the lack of effective autoregressive (AR) appro…