Shuaihang Yuan

According to our database, Shuaihang Yuan authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FairCLIP: Harnessing Fairness in Vision-Language Learning.

Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang

CoRR, 2024

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

Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yi Fang

CoRR, 2024

2023

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

Yu Hao, Fan Yang, Hao Huang, Shuaihang Yuan, Sundeep Rangan, John-Ross Rizzo, Yao Wang, Yi Fang

CoRR, 2023

2022

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

Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngô, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang

Comput. Graph., 2022

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

Shuaihang Yuan, Xiang Li, Hao Huang, Yi Fang

Proceedings of the Computer Vision - ACCV 2022, 2022

2020

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

Shuaihang Yuan, Xiang Li, Yi Fang

CoRR, 2020

ROSS: Robust Learning of One-Shot 3D Shape Segmentation.

Shuaihang Yuan, Yi Fang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction.

Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Unsupervised Deep Shape Descriptor With Point Distribution Learning.

Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang

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.

Wenjun Gui, Bingyu Li, Shuaihang Yuan, John-Ross Rizzo, Lakshay Sharma, Chen Feng, Anthony Tzes, Yi Fang

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019