7 papers
When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning
Zhengxian Wu, Kai Shi, Chuanrui Zhang +10
Recent progress in multimodal large language models has led to strong performance on reasoning tasks, but these improvements largely rely on high-quality annotated data or teacher-…
UniPR: Unified Object-level Real-to-Sim Perception and Reconstruction from a Single Stereo Pair
Chuanrui Zhang, Yingshuang Zou, ZhengXian Wu +3
Perceiving and reconstructing objects from images are critical for real-to-sim transfer tasks, which are widely used in the robotics community. Existing methods rely on multiple su…
Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition
Zhengxian Wu, Chuanrui Zhang, Shenao Jiang +6
Gait recognition is emerging as a promising technology and an innovative field within computer vision, with a wide range of applications in remote human identification. However, ex…
MuDG: Taming Multi-modal Diffusion with Gaussian Splatting for Urban Scene Reconstruction
Yingshuang Zou, Yikang Ding, Chuanrui Zhang +6
Recent breakthroughs in radiance fields have significantly advanced 3D scene reconstruction and novel view synthesis (NVS) in autonomous driving. Nevertheless, critical limitations…
DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition
Zhengxian Wu, Chuanrui Zhang, Hangrui Xu +2
Gait recognition is emerging as a promising and innovative area within the field of computer vision, widely applied to remote person identification. Although existing gait recognit…
PSGait: Gait Recognition using Parsing Skeleton
Hangrui Xu, Zhengxian Wu, Chuanrui Zhang +4
Gait recognition has emerged as a robust biometric modality due to its non-intrusive nature. Conventional gait recognition methods mainly rely on silhouettes or skeletons. While ef…