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Le Hui 惠乐

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Associate Professor,
Electronics and Information,
Northwestern Polytechnical University
Dongxiang Road 1, Chang'an District
Xi'an, China
Email: huile [@] nwpu [DOT] edu [DOT] cn

About me

I am currently an associate professor, Northwestern Polytechnical University. I'm a member of the Computer Vision and Robotics Group led by Prof. Yuchao Dai. I did my Ph.D in the Department of computer science and engineering, Nanjing University of Science and Technology, under the supervision of Prof. Jian Yang and Prof. Jin Xie. Here is my full CV.

Research

My research is in the area of 3D computer vision, especially in 3D scene understanding.

  • 3D Feature Extraction Backbone Network

  • Fully/Semi-Supervised Point Cloud Semantic & Instance Segmentation

  • 3D Single Object Tracking

  • Point Cloud Generation

  • Large-Scale Point Cloud based Place Recognition

  • Point Cloud Registration

Find out more

Recent Publications

  1. Rui Xu, Le Hui, Yuehui Han, Jianjun Qian and Jin Xie. "Scene Graph Masked Variational Autoencoders for 3D Scene Generation", ACM MM 2023.

  2. Rui Xu, Le Hui, Yuehui Han, Jianjun Qian and Jin Xie. "Transformer-based Point Cloud Generation Network", ACM MM 2023.

  3. Le Hui, Linghua Tang, Jin Xie, Jian Yang and Yuchao Dai. "Efficient LiDAR Point Cloud Oversegmentation Network", ICCV 2023.

  4. Yaqi Shen, Le Hui, Jin Xie and Jian Yang. "Self-supervised 3D Scene Flow Estimation Guided by Superpoints", CVPR 2023.

  5. Linghua Tang, Le Hui and Jin Xie. "Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation", ACCV 2022.

  6. Le Hui*, Linghua Tang*, Yaqi Shen, Jin Xie and Jian Yang. "Learning Superpoint Graph Cut for 3D Instance Segmentation", NeurIPS 2022.

  7. Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie and Jian Yang, "3D Siamese Transformer Network for Single Object Tracking on Point Clouds", ECCV 2022. [pdf] [Code]

  8. Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie and Jian Yang, "RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation", ECCV 2022. [pdf] [Code]

  9. Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian and Jin Xie, "Generative Subgraph Contrast for Self-Supervised Graph Representation Learning", ECCV 2022. [pdf] [Code]

  10. Yikai Bian, Le Hui, Jianjun Qian and Jin Xie, "Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching", IROS 2022. [pdf] [Code]

  11. Le Hui, Mingmei Cheng, Jin Xie, Jian Yang and Mingming Cheng, "Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition", TIP 2022. [pdf] [Code]

  12. Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie and Jian Yang, "Reliable Inlier Evaluation for Unsupervised Point Cloud Registration", AAAI 2022. [pdf] [Code]

  13. Rui Xu, Zongyan Han, Le Hui, Jianjun Qian and Jin Xie, "Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval", AAAI 2022. [pdf] [Code]

  14. Le Hui*, Lingpeng Wang*, Mingmei Cheng, Jin Xie and Jian Yang. "3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds", NeurIPS 2021. [pdf] [Code]

  15. Yifan Zhao*, Le Hui* and Jin Xie. "SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering", ACM MM 2021. [pdf] [Code]

  16. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie and Jian Yang. "Pyramid Point Cloud Transformer for Large-Scale Place Recognition", ICCV 2021. [pdf] [Code]

  17. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang and Jian Yang. "Superpoint Network for Point Cloud Oversegmentation", ICCV 2021. [pdf] [Code]

Full list of publications