| CARVIEW |
Nahyun Kwon
Contact | Google Scholar | Github | LinkedIn
Ph.D. Candidate, Computer Science, HCIED (HCI Engineering & Design) Lab @ Texas A&M University.
Human-AI Interaction, Agentic AI, Applied ML, Video Understanding, Open-World Detection
I am a Ph.D. candidate in Computer Science at Texas A&M University. My research focuses on Human-AI Interaction and Multimodal AI, developing context-aware and socially-informed AI systems. I work on algorithms that leverage multimodal and egocentric data to understand human behavior and create AI that adapts to diverse user needs and accessibility challenges.
News
| 1/2024 | My first CHI paper, AccessLens has been accepted to CHI'24. |
| 12/2023 | I am attending NeurIPS'23, presenting our poster, Multi-view instance detection. |
| 9/2023 | 3DPFIX paper has been accepted at CSCW'24! |
| 8/2022 | An interview post about my internship experience at Megagon Labs has been posted! |
| 6/2022 | I am joining Megagon Labs as a summer research intern! |
| 5/2022 | I am attending CHI 2022 as SV! |
| 4/2022 | I attended Grad Cohort for Women and met several good peer researchers there :) Miss you my friends! |
| 10/2021 | Gave paper presentation for our work, 'Multi-ttach', at SCF'21 |
| 9/2021 | One paper accepted to SCF'21 |
| 6/2021 | Summer Internship at George Mason University, advised by Dr. Ray Hong |
| 1/2021 | One workshop paper accepted to TExSS'21 (Workshop on IUI'21) |
| 1/2021 | One paper accepted to Universal Access in the Information Society (UAIS) |
Work Experience
Meta, Research Scientist Intern, 2024 Summer
Megagon Labs, Research Scientist Intern, 2022 Summer
Publication
Solving Instance Detection from an Open-World Perspective
Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
CVPR'25
PDF
AccessLens: Auto-detecting Inaccessibility of Everyday Objects
Nahyun Kwon, Qian Lu, Muhammad Hasham Qazi, Joanne Liu, Changhoon Oh, Shu Kong, Jeeeun Kim
CHI'24
PDF
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
Qianqian Shen, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong
NeurIPS'23
PDF
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting Experience through Human-AI Collaboration (2024)
Nahyun Kwon, Tong Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim*, Ray Hong* (*corresponding authors)
CSCW'24. To appear
PDF
Supporting a Crowd-powered Accessible Online Art Gallery for People with Visual Impairments: A Feasibility Study (2021)
Nahyun Kwon, Yunjung Lee, and Uran Oh
Universal Access in the Information Society (UAIS)
Video | Springer Link | PDF