Xiaoshui Huang
24 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11)
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Taxonomy Completionist
(47)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
β‘
Prolific Year
(7)
π
Trend Setter
π
Century Club
(21)
ποΈ
Keyword Collector
(114)
Conferences
CVPR (9)
AAAI (7)
ECCV (2)
ICCV (2)
NIPS (2)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
diffusion model
(7)
point cloud
(7)
3d vision
(5)
multi-modal learning
(3)
point cloud registration
(3)
3d object detection
(3)
semantic segmentation
(3)
3d generation
(2)
transfer learning
(2)
latent diffusion
(2)
instruction tuning
(2)
feature extraction
(2)
self-supervised learning
(2)
image generation
(2)
few-shot learning
(2)
conditional generation
(2)
multimodal learning
(2)
text-to-image generation
(2)
state space model
(2)
point cloud classification
(2)
Papers
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
AAAI 2026
Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
AAAI 2026
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
AAAI 2026
BrepGiff: Lightweight Generation of Complex B-rep with 3D GAT Diffusion
CVPR 2025
LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation
AAAI 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
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
CVPR 2025
MamTiff-CAD: Multi-Scale Latent Diffusion with Mamba+ for Complex Parametric Sequence
ICCV 2025
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search
NAACL 2025
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
CVPR 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024
3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset
IJCAI 2024
Taming Stable Diffusion for Text to 360 Panorama Image Generation
CVPR 2024
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
CVPR 2024
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
NIPS 2024
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
AAAI 2024
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation
ECCV 2024
GVGEN: Text-to-3D Generation with Volumetric Representation
ECCV 2024
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark
NIPS 2023
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
CVPR 2023
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training
ICCV 2023
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
CVPR 2020