Le Hui

Orcid: 0000-0003-0851-6805

According to our database1, Le Hui authored at least 32 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FlowFormer: 3D scene flow estimation for point clouds with transformers.
Knowl. Based Syst., November, 2023

Multi-Scale Superpoint Network for 3D Point Cloud Semantic Segmentation.
Proceedings of the ACM Multimedia Asia 2023, 2023

Scene Graph Masked Variational Autoencoders for 3D Scene Generation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Transformer-based Point Cloud Generation Network.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Efficient LiDAR Point Cloud Oversegmentation Network.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Supervised 3D Scene Flow Estimation Guided by Superpoints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition.
IEEE Trans. Image Process., 2022

Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking.
CoRR, 2022

Learning Superpoint Graph Cut for 3D Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

3D Siamese Transformer Network for Single Object Tracking on Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

RA-Depth: Resolution Adaptive Self-supervised Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Subgraph Contrast for Self-Supervised Graph Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Inter-superpoint Affinity for Weakly Supervised 3D Instance Segmentation.
Proceedings of the Computer Vision - ACCV 2022, 2022

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Reliable Inlier Evaluation for Unsupervised Point Cloud Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition.
CoRR, 2021

Facilitating 3D Object Tracking in Point Clouds with Image Semantics and Geometry.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Superpoint Network for Point Cloud Oversegmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid Point Cloud Transformer for Large-Scale Place Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Progressive Point Cloud Deconvolution Generation Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Inter-Class Angular Loss for Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Data-Adaptive Metric Learning with Scale Alignment.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Attention-based Neural Network for Traffic Sign Detection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal.
CoRR, 2017

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders.
CoRR, 2017


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