Xiaoshui Huang

Orcid: 0000-0002-3579-538X

According to our database1, Xiaoshui Huang authored at least 72 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Accurate Registration of Cross-Modality Geometry via Consistent Clustering.
IEEE Trans. Vis. Comput. Graph., July, 2024

A<sup>2</sup> GSTran: Depth Map Super-Resolution via Asymmetric Attention With Guidance Selection.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Frequency-Aware Multi-Modal Fine-Tuning for Few-Shot Open-Set Remote Sensing Scene Classification.
IEEE Trans. Multim., 2024

Learning content-aware feature fusion for guided depth map super-resolution.
Signal Process. Image Commun., 2024

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.
CoRR, 2024

Non-target Divergence Hypothesis: Toward Understanding Domain Gaps in Cross-Modal Knowledge Distillation.
CoRR, 2024

COMOGen: A Controllable Text-to-3D Multi-object Generation Framework.
CoRR, 2024

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.
CoRR, 2024

Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch.
CoRR, 2024

Foundation Model assisted Weakly Supervised LiDAR Semantic Segmentation.
CoRR, 2024

Taming Stable Diffusion for Text to 360{\deg} Panorama Image Generation.
CoRR, 2024

THOR: Text to Human-Object Interaction Diffusion via Relation Intervention.
CoRR, 2024

NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection.
CoRR, 2024

Uni3D-LLM: Unifying Point Cloud Perception, Generation and Editing with Large Language Models.
CoRR, 2024

A Comprehensive Survey on 3D Content Generation.
CoRR, 2024

Retrieval-and-alignment based large-scale indoor point cloud semantic segmentation.
Sci. China Inf. Sci., 2024

3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

3D Point Cloud Pre-Training with Knowledge Distilled from 2D Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

GVGEN: Text-to-3D Generation with Volumetric Representation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Point Cloud Pre-Training with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Taming Stable Diffusion for Text to 360° Panorama Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.
IEEE Trans. Cybern., November, 2023

Cross-source point cloud registration: Challenges, progress and prospects.
Neurocomputing, 2023

3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V.
CoRR, 2023

PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration.
CoRR, 2023

Zero-Shot Point Cloud Registration.
CoRR, 2023

Experts Weights Averaging: A New General Training Scheme for Vision Transformers.
CoRR, 2023

UniG3D: A Unified 3D Object Generation Dataset.
CoRR, 2023

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution.
IEEE Trans. Multim., 2022

GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection.
IEEE Robotics Autom. Lett., 2022

IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration.
IEEE Robotics Autom. Lett., 2022

Unsupervised Point Cloud Registration by Learning Unified Gaussian Mixture Models.
IEEE Robotics Autom. Lett., 2022

Robust real-world point cloud registration by inlier detection.
Comput. Vis. Image Underst., 2022

3D Point Cloud Pre-training with Knowledge Distillation from 2D Images.
CoRR, 2022

Frozen CLIP Model is An Efficient Point Cloud Backbone.
CoRR, 2022

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling.
CoRR, 2022

Multimodal Learning for Non-small Cell Lung Cancer Prognosis.
CoRR, 2022

Unsupervised Pre-training for 3D Object Detection with Transformer.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Overlap-Guided Coarse-to-Fine Correspondence Prediction for Point Cloud Registration.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Partial Point Cloud Registration Via Soft Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Unsupervised Point Cloud Pre-Training Via Contrasting and Clustering.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.
IEEE Intell. Syst., 2021

COTReg: Coupled Optimal Transport based Point Cloud Registration.
CoRR, 2021

GenReg: Deep Generative Method for Fast Point Cloud Registration.
CoRR, 2021

A comprehensive survey on point cloud registration.
CoRR, 2021

DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning.
CoRR, 2020

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.
CoRR, 2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.
CoRR, 2020

Classification Constrained Discriminator For Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Exploring Long-Short-Term Context For Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cross-source point cloud matching by exploring structure property
PhD thesis, 2019

Fast Registration for Cross-Source Point Clouds by using Weak Regional Affinity and Pixel-Wise Refinement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
A Coarse-to-Fine Algorithm for Matching and Registration in 3D Cross-Source Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., 2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures.
IEEE Trans. Image Process., 2017

Learning a 3D descriptor for cross-source point cloud registration from synthetic data.
CoRR, 2017

2016
A Coarse-to-Fine Algorithm for Registration in 3D Street-View Cross-Source Point Clouds.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Real Time Complete Dense Depth Reconstruction for a Monocular Camera.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Graph Cuts Stereo Matching Based on Patch-Match and Ground Control Points Constraint.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Dense Correspondence Using Non-Local DAISY Forest.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015


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