4 citations · 5 across the 3 of their papers we have counts for
4 papers
MetaSets: Meta-Learning on Point Sets for Generalizable Representations
Chao Huang, Zhangjie Cao, Yunbo Wang +2
Deep learning techniques for point clouds have achieved strong performance on a range of 3D vision tasks. However, it is costly to annotate large-scale point sets, making it critic…
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
Hangqi Zhou, Chao Huang, Shangqi Gao +1
Super-resolution (SR) is an ill-posed problem, which means that infinitely many high-resolution (HR) images can be degraded to the same low-resolution (LR) image. To study the one-…
Non-Local Part-Aware Point Cloud Denoising
Chao Huang, Ruihui Li, Xianzhi Li +1
This paper presents a novel non-local part-aware deep neural network to denoise point clouds by exploring the inherent non-local self-similarity in 3D objects and scenes. Different…
Transfer Adversarial Hashing for Hamming Space Retrieval
Zhangjie Cao, Mingsheng Long, Chao Huang +1
Hashing is widely applied to large-scale image retrieval due to the storage and retrieval efficiency. Existing work on deep hashing assumes that the database in the target domain i…