Youngjoon Jang

Contact: jyj [at] mmai.io

jyj.jpeg
Room #3103, N24 Bldg, KAIST.

I am currently a Ph.D. student advised by Prof. Joon Son Chung, in Division of Future Vehicle at Korea Advanced Institute of Science and Technology (KAIST). Previously, I earned my M.S. in Division of Future Vehicle from KAIST (Feb. 2022) and B.S. in Division of Robotics from Kwangwoon University (Feb. 2020).

My research aims to effectively train deep neural networks with multi-modality (vision, audio and text). Also, I have an interest in techniques related to sign language for helping deaf people.

Publications

  1. BMVC
    Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
    Youngjoon JangYoungtaek OhJae Won ChoDong-Jin KimJoon Son Chungand In So Kweon
    In British Machine Vision Conference (BMVC), 2022.
  2. FG
    KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing
    Soomin Ham, Kibaek Park,  Youngjoon JangYoungtaek OhSeokmin Yun, Sukwon Yoon, Chang Jo Kim, Han-Mu Parkand In So Kweon
    In International Conference on Automatic Face and Gesture Recognition (FG), 2021.