Search Results for author: Jianhui Liu

Found 7 papers, 6 papers with code

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

1 code implementation CVPR 2023 Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi

Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their semantic categories.

3D Semantic Segmentation Representation Learning

IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation

1 code implementation23 Mar 2023 Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi

Category-level 6D pose estimation aims to predict the poses and sizes of unseen objects from a specific category.

6D Pose Estimation

Spherical Transformer for LiDAR-based 3D Recognition

2 code implementations CVPR 2023 Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia

In this work, we study the varying-sparsity distribution of LiDAR points and present SphereFormer to directly aggregate information from dense close points to the sparse distant ones.

 Ranked #1 on 3D Semantic Segmentation on SemanticKITTI (using extra training data)

3D Object Detection 3D Semantic Segmentation +3

Spatial Pruned Sparse Convolution for Efficient 3D Object Detection

no code implementations28 Sep 2022 Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

3D scenes are dominated by a large number of background points, which is redundant for the detection task that mainly needs to focus on foreground objects.

3D Object Detection object-detection

Stratified Transformer for 3D Point Cloud Segmentation

4 code implementations CVPR 2022 Xin Lai, Jianhui Liu, Li Jiang, LiWei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia

In this paper, we propose Stratified Transformer that is able to capture long-range contexts and demonstrates strong generalization ability and high performance.

Point Cloud Segmentation Semantic Segmentation

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