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Le Hui
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2020 – today
- 2024
- [j3]Jiamin Liu, Hao Wang, Le Hui, Butian Tang, Liwei Zhang, Lei Jiao:
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply-Demand and Its Driving Forces: Case Study in Shaanxi Province, China. Remote. Sens. 16(13): 2383 (2024) - [c26]Yun Zhu, Le Hui, Yaqi Shen, Jin Xie:
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection. AAAI 2024: 7811-7819 - [i19]Zhicheng Lu, Xiang Guo, Le Hui, Tianrui Chen, Min Yang, Xiao Tang, Feng Zhu, Yuchao Dai:
3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis. CoRR abs/2404.06270 (2024) - 2023
- [j2]Yaqi Shen
, Le Hui:
FlowFormer: 3D scene flow estimation for point clouds with transformers. Knowl. Based Syst. 280: 111041 (2023) - [c25]Yaqi Shen, Le Hui, Jin Xie, Jian Yang:
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints. CVPR 2023: 5271-5280 - [c24]Le Hui, Linghua Tang, Yuchao Dai, Jin Xie, Jian Yang:
Efficient LiDAR Point Cloud Oversegmentation Network. ICCV 2023: 17957-17966 - [c23]Rui Xu
, Le Hui
, Yuehui Han
, Jianjun Qian
, Jin Xie:
Transformer-based Point Cloud Generation Network. ACM Multimedia 2023: 4169-4177 - [c22]Rui Xu
, Le Hui
, Yuehui Han
, Jianjun Qian
, Jin Xie:
Scene Graph Masked Variational Autoencoders for 3D Scene Generation. ACM Multimedia 2023: 5725-5733 - [c21]Ft Zheng
, Le Hui
, Jin Xie
, Haofeng Zhang
:
Multi-Scale Superpoint Network for 3D Point Cloud Semantic Segmentation. MMAsia 2023: 75:1-75:7 - [i18]Yaqi Shen, Le Hui, Jin Xie, Jian Yang:
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints. CoRR abs/2305.02528 (2023) - [i17]Yun Zhu, Le Hui, Yaqi Shen, Jin Xie:
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection. CoRR abs/2312.13641 (2023) - 2022
- [j1]Le Hui
, Mingmei Cheng
, Jin Xie, Jian Yang, Ming-Ming Cheng
:
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition. IEEE Trans. Image Process. 31: 1258-1270 (2022) - [c20]Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang:
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. AAAI 2022: 2198-2206 - [c19]Rui Xu
, Zongyan Han
, Le Hui, Jianjun Qian, Jin Xie:
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. AAAI 2022: 2902-2910 - [c18]Linghua Tang, Le Hui, Jin Xie:
Learning Inter-superpoint Affinity for Weakly Supervised 3D Instance Segmentation. ACCV (1) 2022: 176-192 - [c17]Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie:
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning. ECCV (30) 2022: 91-107 - [c16]Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang:
3D Siamese Transformer Network for Single Object Tracking on Point Clouds. ECCV (2) 2022: 293-310 - [c15]Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang:
RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation. ECCV (27) 2022: 565-581 - [c14]Yikai Bian, Le Hui, Jianjun Qian, Jin Xie:
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching. IROS 2022: 9899-9904 - [c13]Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, Jian Yang:
Learning Superpoint Graph Cut for 3D Instance Segmentation. NeurIPS 2022 - [i16]Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang:
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. CoRR abs/2202.11292 (2022) - [i15]Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie:
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. CoRR abs/2202.11948 (2022) - [i14]Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang:
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation. CoRR abs/2207.11984 (2022) - [i13]Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang:
3D Siamese Transformer Network for Single Object Tracking on Point Clouds. CoRR abs/2207.11995 (2022) - [i12]Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie:
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning. CoRR abs/2207.11996 (2022) - [i11]Yikai Bian, Le Hui, Jianjun Qian, Jin Xie:
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching. CoRR abs/2208.04510 (2022) - [i10]Haobo Jiang, Kaihao Lan, Le Hui, Guangyu Li, Jin Xie, Jian Yang:
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking. CoRR abs/2209.06395 (2022) - [i9]Linghua Tang, Le Hui, Jin Xie:
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation. CoRR abs/2210.05534 (2022) - 2021
- [c12]Mingmei Cheng, Le Hui, Jin Xie, Jian Yang:
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network. AAAI 2021: 1140-1147 - [c11]Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang, Jian Yang:
Superpoint Network for Point Cloud Oversegmentation. ICCV 2021: 5490-5499 - [c10]Le Hui, Hang Yang, Mingmei Cheng, Jin Xie, Jian Yang:
Pyramid Point Cloud Transformer for Large-Scale Place Recognition. ICCV 2021: 6078-6087 - [c9]Yifan Zhao, Le Hui, Jin Xie:
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering. ACM Multimedia 2021: 2214-2223 - [c8]Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang:
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds. NeurIPS 2021: 28714-28727 - [c7]Lingpeng Wang, Le Hui, Jin Xie:
Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry. PRCV (1) 2021: 589-601 - [i8]Le Hui, Mingmei Cheng, Jin Xie, Jian Yang:
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition. CoRR abs/2101.02374 (2021) - [i7]Mingmei Cheng, Le Hui, Jin Xie, Jian Yang:
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network. CoRR abs/2104.07861 (2021) - [i6]Yifan Zhao, Le Hui, Jin Xie:
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering. CoRR abs/2108.00454 (2021) - [i5]Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie, Jian Yang:
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds. CoRR abs/2111.04426 (2021) - 2020
- [c6]Le Hui, Rui Xu
, Jin Xie, Jianjun Qian, Jian Yang:
Progressive Point Cloud Deconvolution Generation Network. ECCV (15) 2020: 397-413 - [c5]Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong
:
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation. IROS 2020: 8447-8452 - [i4]Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang:
Progressive Point Cloud Deconvolution Generation Network. CoRR abs/2007.05361 (2020) - [i3]Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong:
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation. CoRR abs/2007.15488 (2020)
2010 – 2019
- 2019
- [c4]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c3]Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. AAAI 2019: 3894-3901 - 2018
- [c2]Jing Zhang, Le Hui, Jianfeng Lu, Yuhua Zhu:
Attention-based Neural Network for Traffic Sign Detection. ICPR 2018: 1839-1844 - [c1]Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Jian Yang:
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders. ICPR 2018: 2044-2049 - 2017
- [i2]Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Chen Gong, Jian Yang:
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders. CoRR abs/1712.02050 (2017) - [i1]Jifeng Wang, Xiang Li, Le Hui, Jian Yang:
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal. CoRR abs/1712.02478 (2017)
Coauthor Index
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last updated on 2024-08-16 00:42 CEST by the dblp team
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