Kyungjun's headshot photo taken in the Joshua Tree National Park, California, USA.

Kyungjun Lee

Ph.D. Student
Department of Computer Science
University of Maryland, College Park

kjlee@cs.umd.edu

C.V. | Google Scholar

2117 Hornbake Bldg., South Wing
College Park, MD 20742, USA

About me

I am a fourth-year Ph.D. student 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.

My research on Teachable Interfaces through Human-Centered Artificial Intelligence focuses on enhancing AI by involving humans in the loop and building AI-powered systems to empower people with and without disabilities, which combines methods from machine learning and human-computer interaction.

I am interested in exploring human interactions with AI to design an AI-powered system that can understand the user's intent. My current project is to design a Teachable Object Recognizer for blind people using sonigifcation, haptic feedback, and deep learning models.

Publications

  1. Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective
    Kyungjun Lee, Daisuke Sato, Saki Asakawa, Hernisa Kacorri, Chieko Asakawa
    Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2020
    ACM | local | arXiv

  2. Crowdsourcing the Perception of Machine Teaching
    Jonggi Hong, Kyungjun Lee, June Xu, Hernisa Kacorri
    Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2020
    ACM | arXiv

  3. Hand-Priming in Object Localization for Assistive Egocentric Vision
    Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri
    Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
    Best Paper Award, Applications
    local - accessible ver. | CvF | arXiv

  4. Revisiting Blind Photography in the Context of Teachable Object Recognizers
    Kyungjun Lee, Jonggi Hong, Simone Pimento, Ebrima Jarjue, Hernisa Kacorri
    Proceedings of ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2019
    ACM | local

  5. Hands Holding Clues for Object Recognition in Teachable Machines
    Kyungjun Lee, Hernisa Kacorri
    Proceedings of ACM CHI Conference on Human Factors in Computing Systems (CHI), 2019
    ACM | local

  6. 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
    ACM

  7. Gesture and Action Discovery for Evaluating Virtual Environments with Semi-Supervised Segmentation of Telemetry Records
    Andrea Batch, Kyungjun Lee, Hanuma Teja Maddali, Niklas Elmqvist
    Proceedings of IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018
    IEEE

  8. Texture Synthesis with Recurrent Variational Auto-Encoder
    Rohan Chandra, Sachin Grover, Kyungjun Lee, Moustafa Meshry, Ahmed Taha
    arXiv preprint, 2017 (*authors are alphabetically ordered)
    arXiv

  9. Performance implications of cache flushes for non-volatile memory file systems
    Kyungjun Lee, Sungtae Ryu, Hwansoo Han
    Proceedings of ACM Symposium on Applied Computing (SAC), 2015
    ACM

  10. In-memory write-ahead logging for mobile smart devices with NVRAM
    Sungtae Ryu, Kyungjun Lee, Hwansoo Han
    IEEE Transactions on Consumer Electronics (TCE), 2015
    IEEE

© 2020 Kyungjun Lee