no code implementations • 23 Apr 2024 • Haozhe Cheng, Cheng Ju, Haicheng Wang, Jinxiang Liu, Mengting Chen, Qiang Hu, Xiaoyun Zhang, Yanfeng Wang
The denoised text classes help OVAR models classify visual samples more accurately; in return, classified visual samples help better denoising.
no code implementations • 18 Aug 2023 • Pengcheng Shi, Jie Zhang, Haozhe Cheng, Junyang Wang, Yiyang Zhou, Chenlin Zhao, Jihua Zhu
Specifically, we propose a plug-and-play Overlap Bias Matching Module (OBMM) comprising two integral components, overlap sampling module and bias prediction module.
no code implementations • 16 May 2023 • Pengcheng Shi, Haozhe Cheng, Xu Han, Yiyang Zhou, Jihua Zhu
To tackle these challenges, we propose an information interaction-based generative network for point cloud completion ($\mathbf{DualGenerator}$).