Xiaoshui Huang
25 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Computer Vision
(16)
Deep Learning
(16)
Machine Learning
(13)
Learning Types Β· Machine Learning
(12)
Analysis
(11)
Models
(9)
Artificial Intelligence
(8)
Architectures
(7)
Learning Types Β· Deep Learning
(6)
Core AI
(5)
Generation
(5)
Learning Paradigms
(4)
Domain-Specific
(2)
Techniques
(2)
Computer Science
(1)
Keywords
diffusion model
(8)
point cloud
(7)
3d vision
(5)
multimodal learning
(5)
3d object detection
(3)
semantic segmentation
(3)
point cloud registration
(3)
scene generation
(2)
transfer learning
(2)
latent diffusion
(2)
instruction tuning
(2)
feature extraction
(2)
image generation
(2)
3d generation
(2)
text-to-image generation
(2)
few-shot learning
(2)
self-supervised learning
(2)
conditional generation
(2)
state space model
(2)
point cloud classification
(2)
Papers
A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
CVPR 2026
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
AAAI 2026
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
AAAI 2026
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
AAAI 2026
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
CVPR 2025
BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion
CVPR 2025
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search
NAACL 2025
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
AAAI 2025
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
ICCV 2025
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
AAAI 2025
Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation
CVPR 2025
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
IJCAI 2024
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
CVPR 2024
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
NeurIPS 2024
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024
GVGEN: Text-to-3D Generation with Volumetric Representation
ECCV 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
Taming Stable Diffusion for Text to 360 Panorama Image Generation
CVPR 2024
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
CVPR 2024
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation
ECCV 2024
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training
ICCV 2023
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
NeurIPS 2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
CVPR 2023
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2020