1 code implementation • CVPR 2023 • Xiaoyu Tian, Haoxi Ran, Yue Wang, Hang Zhao
This paper tries to address a fundamental question in point cloud self-supervised learning: what is a good signal we should leverage to learn features from point clouds without annotations?
1 code implementation • CVPR 2022 • Haoxi Ran, Jun Liu, Chengjie Wang
Based on a simple baseline of PointNet++ (SSG version), Umbrella RepSurf surpasses the previous state-of-the-art by a large margin for classification, segmentation and detection on various benchmarks in terms of performance and efficiency.
Ranked #6 on 3D Point Cloud Classification on ModelNet40
1 code implementation • ICLR 2022 • Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu
We notice that detailed local geometrical information probably is not the key to point cloud analysis -- we introduce a pure residual MLP network, called PointMLP, which integrates no sophisticated local geometrical extractors but still performs very competitively.
Ranked #4 on Point Cloud Segmentation on PointCloud-C
1 code implementation • ICCV 2021 • Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu
We further verify the expandability of RPNet, in terms of both depth and width, on the tasks of classification and segmentation.
Ranked #18 on Semantic Segmentation on ScanNet
1 code implementation • 29 Nov 2020 • Haoxi Ran, Li Lu
Specifically, SepNet achieves state-of-the-art for the tasks of classification and segmentation on most of the datasets.
no code implementations • 24 Nov 2020 • Haoxi Ran, Guangfu Wang, Li Lu
Human imitation has become topical recently, driven by GAN's ability to disentangle human pose and body content.