Ph.D. Candidate in Computer Science @ University of Maryland, College Park
I am interested in understanding human interactions with computer systems and transferring the interactions into inclusive designs of such systems. In particular, enabling AI to understand human's intentions through interactions, I design and develop intelligent systems to augment users' experiences and capabilities.
I am on the job market and actively looking for industrial research positoins in human-centered AI, accessibility, and HCI.
Kyungjun Lee is a 6th-year Ph.D. candidate in Computer Science at the University of Maryland, College Park, and a member of Human-Computer Interaction Lab and Intelligent Assistant Machines Lab, advised by Hernisa Kacorri. Kyungjun has been exploring human interactions with AI, AR, and wearable cameras to design a system that can capture the user's intent better. His Ph.D. dissertation is to design intelligent camera systems to help blind people access their visual surroundings. He has also worked as a research intern in the Lookout team at Google Research and in the HCI group at Snap Research and collaborated with Cognitive Assistance Lab at Carnegie Mellon University.
Leveraging Hand-Object Interactions in Assistive Egocentric Vision
Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Exploring Machine Teaching for Object Recognition with the Crowd
Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri
Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019
© 2022 Kyungjun Lee