E-mail : // (personal)
Dept. of Electrical and Electronic Engineering (EEE), Imperial College London, London, SW7 2BT, UK


I am studying Computer Vision/Machine Learning at Dept. of EEEImperial College Londonunder supervision of Tae-Kyun Kim (2015.Sep.~present). Previously, I received my BS (2009) and MS (2011) degree of Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), under supervision of Chang D. Yoo and worked in Digital Media Communication (DMC) Research Center of Samsung Electronics for Four years (2011.Feb.25~2015.Feb.28) as a Computer Vision Engineer. (I worked as an alternative to mandatory military duty for S. Korean.) 

  • Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Deep convolutional decision jungle for image classification", in ArXiv. [Link]

  • Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim, "First-person hand action benchmark with RGB-D videos and 3D hand pose annotations", in ArXiv. [Link]

  • Seungryul Baek, Zhiyuan Shi, Masato Kawade, Tae-Kyun Kim, "Kinematic-layout-aware random forests for depth-based action recognition", in BMVC 2017 (Oral presentation, 5.6% acceptance rate). [PDF] [SUP]

  • Seungryul Baek, Kwang In Kim, Tae-Kyun Kim, "Real-time online action detection forests using spatio-temporal contexts", in WACV 2017. [PDF]

  • Seungryul Baek, Taegyu Lim, Yong Seok Heo, Sungbum Park, Hantak Kwak and Woosung Shim, "Superpixel coherency and uncertainty models for semantic segmentation", in ICCV Workshop 2013. [PDF]

  • Seungryul Baek, Chang D. Yoo, Sungrack Yun, "Learning a discriminative visual codebook using homonym scheme", in ICASSP 2011. [PDF]