Shuaihang Yuan

Orcid: 0000-0002-7092-7966

According to our database1, Shuaihang Yuan authored at least 27 papers between 2019 and 2024.

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

Timeline

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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

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance.
CoRR, 2024

MultiTalk: Introspective and Extrospective Dialogue for Human-Environment-LLM Alignment.
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

ChatMap: A Wearable Platform Based on the Multi-modal Foundation Model to Augment Spatial Cognition for People with Blindness and Low Vision.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Weakly Scene Segmentation Using Efficient Transformer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Noisy Few-shot 3D Point Cloud Scene Segmentation.
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.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Goal-Driven Transformer for Robot Behavior Learning from Play Data.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Zero-Shot Object Navigation with Vision-Language Models Reasoning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Reliable Semantic Understanding for Real World Zero-Shot Object Goal Navigation.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Optimizing Personalized Robot Actions with Ranking of Trajectories.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Reference Convolutional Networks for 3D Deep Point Signature Learning.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning.
Proceedings of the 10th International Conference on Automation, Robotics and Applications, 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

2022
SHREC'22 track: Sketch-based 3D shape retrieval in the wild.
Comput. Graph., 2022

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

2020
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow.
CoRR, 2020

ROSS: Robust Learning of One-Shot 3D Shape Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Unsupervised Deep Shape Descriptor With Point Distribution Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019


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