26 citations · 26 across the 1 of their papers we have counts for
4 papers
Triple Point Masking
Jiaming Liu, Linghe Kong, Yue Wu +5
Existing 3D mask learning methods encounter performance bottlenecks under limited data, and our objective is to overcome this limitation. In this paper, we introduce a triple point…
Exploration of Class Center for Fine-Grained Visual Classification
Hang Yao, Qiguang Miao, Peipei Zhao +4
Different from large-scale classification tasks, fine-grained visual classification is a challenging task due to two critical problems: 1) evident intra-class variances and subtle…
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
Jiaming Liu, Yue Wu, Maoguo Gong +3
3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clou…
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
Yue Wu, Yongzhe Yuan, Xiaolong Fan +3
We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation. During training stage, obje…