Hao Huang

Orcid: 0000-0002-9131-5854

Affiliations:

New York University, Brooklyn, NY, USA

According to our database¹, Hao Huang authored at least 34 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction.

[BibT_eX]

[DOI]

J. Imaging, May, 2024

Learning to learn point signature for 3D shape geometry.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

A single 3D shape wavelet-based generative model.

[BibT_eX]

[DOI]

Comput. Graph., 2024

Noisy Few-shot 3D Point Cloud Scene Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Goal-Driven Transformer for Robot Behavior Learning from Play Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Zero-Shot Object Navigation with Vision-Language Models Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Reliable Semantic Understanding for Real World Zero-Shot Object Goal Navigation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Optimizing Personalized Robot Actions with Ranking of Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Meta-Learning 3D Shape Segmentation Functions.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

3D-TRANS: 3D Hierarchical Transformer for Shape Correspondence Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

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

[BibT_eX]

[DOI]

Yu Tian

Congcong Wen

Min Shi

Muhammad Muneeb Afzal

Proceedings of the Computer Vision - ECCV 2024, 2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

[BibT_eX]

[DOI]

Yan Luo

Min Shi

Muhammad Osama Khan

Muhammad Muneeb Afzal

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.

[BibT_eX]

[DOI]

CoRR, 2023

Pyramid Learnable Tokens for 3D LiDAR Place Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

SHREC 2022: Protein-ligand binding site recognition.

[BibT_eX]

[DOI]

Apostolos Axenopoulos

Stelios K. Mylonas

Petros Daras

Comput. Graph., 2022

3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation.

[BibT_eX]

[DOI]

Mengxi Wu

Hao Huang

Yi Fang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Adaptive Wavelet Transformer Network for 3D Shape Representation Learning.

[BibT_eX]

[DOI]

Hao Huang

Yi Fang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture.

[BibT_eX]

[DOI]

Hao Huang

Cheng Chen

Yi Fang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Manifold Adversarial Learning for Cross-domain 3D Shape Representation.

[BibT_eX]

[DOI]

Hao Huang

Cheng Chen

Yi Fang

Proceedings of the Computer Vision - ECCV 2022, 2022

Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

Unsupervised 3D Shape Representation Learning Using Normalizing Flow.

[BibT_eX]

[DOI]

Xiang Li

Congcong Wen

Hao Huang

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Image Matching By Dynamic Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

2014

Computational Multi-View Imaging with Kinect.

[BibT_eX]

[DOI]

IEEE Trans. Broadcast., 2014

Distributed Human Action Recognition via 2D Conditional Random Field.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Distributed Smart Cameras, 2014

Hao Huang

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