Le Hui
25 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(18)
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Keyword Champion
(2)
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Deep Specialist
(15)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(124)
Venues
Top co-authors
Research topics
Computer Vision
(20)
Analysis
(19)
Machine Learning
(14)
Deep Learning
(13)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(8)
Processing
(7)
Core Methods
(6)
Artificial Intelligence
(5)
Architectures
(5)
Core AI
(5)
Models
(3)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Keywords
point cloud
(9)
semantic segmentation
(4)
3d object detection
(3)
geometric structure
(2)
superpoint graph
(2)
3d vision
(2)
point cloud oversegmentation
(2)
instance segmentation
(2)
neural radiance field
(2)
object proposal
(2)
point cloud registration
(2)
depth estimation
(2)
3d instance segmentation
(2)
feature learning
(2)
image retrieval
(1)
label propagation
(1)
metric learning
(1)
scene understanding
(1)
pose estimation
(1)
image classification
(1)
Papers
Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations
AAAI 2026
Geometry-Aware 3D Salient Object Detection Network
AAAI 2025
GSRecon: Efficient Generalizable Gaussian Splatting for Surface Reconstruction from Sparse Views
ICCV 2025
Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
CVPR 2025
Sketchy Bounding-box Supervision for 3D Instance Segmentation
CVPR 2025
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
NeurIPS 2024
3D Geometry-Aware Deformable Gaussian Splatting for Dynamic View Synthesis
CVPR 2024
Improving Depth Completion via Depth Feature Upsampling
CVPR 2024
Multi-Attribute Interactions Matter for 3D Visual Grounding
CVPR 2024
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
AAAI 2024
Efficient LiDAR Point Cloud Oversegmentation Network
ICCV 2023
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
CVPR 2023
3D Siamese Transformer Network for Single Object Tracking on Point Clouds
ECCV 2022
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
AAAI 2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
ECCV 2022
Learning Superpoint Graph Cut for 3D Instance Segmentation
NeurIPS 2022
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
ECCV 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
AAAI 2022
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
NeurIPS 2021
Pyramid Point Cloud Transformer for Large-Scale Place Recognition
ICCV 2021
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
AAAI 2021
Superpoint Network for Point Cloud Oversegmentation
ICCV 2021
Progressive Point Cloud Deconvolution Generation Network
ECCV 2020
Data-Adaptive Metric Learning with Scale Alignment
AAAI 2019
Inter-Class Angular Loss for Convolutional Neural Networks
AAAI 2019