Hao Huang

Orcid: 0000-0002-9131-5854

Affiliations:
  • New York University, Brooklyn, NY, USA


According to our database1, Hao Huang authored at least 28 papers between 2014 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction.
J. Imaging, May, 2024

Learning to learn point signature for 3D shape geometry.
Pattern Recognit. Lett., 2024

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.
CoRR, 2024

How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
CoRR, 2024

A single 3D shape wavelet-based generative model.
Comput. Graph., 2024

Noisy Few-shot 3D Point Cloud Scene Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Meta-Learning 3D Shape Segmentation Functions.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

3D-TRANS: 3D Hierarchical Transformer for Shape Correspondence Learning.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision.
CoRR, 2023

Pyramid Learnable Tokens for 3D LiDAR Place Recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor.
IEEE Trans. Geosci. Remote. Sens., 2022

SHREC 2022: Protein-ligand binding site recognition.
Comput. Graph., 2022

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Adaptive Wavelet Transformer Network for 3D Shape Representation Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Manifold Adversarial Learning for Cross-domain 3D Shape Representation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection.
Proceedings of the Computer Vision - ACCV 2022, 2022

Unsupervised 3D Shape Representation Learning Using Normalizing Flow.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation.
CoRR, 2021

Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment.
CoRR, 2021

3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation.
Proceedings of the International Conference on 3D Vision, 2021

2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence.
CoRR, 2020

Robust Image Matching By Dynamic Feature Selection.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Dynamic Graph Modules for Modeling Higher-Order Interactions in Activity Recognition.
CoRR, 2018

2014
Computational Multi-View Imaging with Kinect.
IEEE Trans. Broadcast., 2014

Distributed Human Action Recognition via 2D Conditional Random Field.
Proceedings of the International Conference on Distributed Smart Cameras, 2014


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