Search Results for author: Haoxi Ran

Found 6 papers, 5 papers with code

GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

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?

Multi-Object Tracking object-detection +3

Surface Representation for Point Clouds

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.

3D Object Detection 3D Point Cloud Classification +2

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

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.

3D Point Cloud Classification Point Cloud Segmentation

Learning Inner-Group Relations on Point Clouds

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.

3D Classification 3D Point Cloud Classification +4

Deeper or Wider Networks of Point Clouds with Self-attention?

1 code implementation29 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.

Classification General Classification +1

RIN: Textured Human Model Recovery and Imitation with a Single Image

no code implementations24 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.

Translation

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