Associate Professor
Computer Vision Laboratory
Dept. of Computer Science and Engineering
POSTECH (Pohang University of Science and Technology)
Pohang, Korea

Visiting Research Scientist
Venice, CA, USA


CVPR 2017:
(03/2017) We have four papers (1 spotlight and 3 posters) accepted to CVPR 2017.
(06/2016) I will be serving as an Area Chair for CVPR 2017.

ICCV 2017:
(01/2017) I will be serving as an Area Chair for ICCV 2017.

AAAI 2017:
(11/2016) We have two papers accepted to AAAI 2017.

MSRA Fellowship 2016:
(10/2016) Hyeonwoo was selected as one of the Microsoft Research Asia Fellows this year! The MSRA fellowship is a very competitive and prestigeous award, and Hyeonwoo is the second award winner in my lab, following Seunghoon in 2014.

Winning VOT 2016 Challenge:
(10/2016) We won the Visual Object Tracking (VOT) challenge with TCNN tracking algorithm this year! This is the back-to-back winning with MDNet in the last year challenge. Please refer to our arXiv paper our arXiv paper for the details. Congratulations, Hyeonseob and Mooyeol.

Sabbatical leave at Google
(08/2016) I am now with Google (LA) during my sabbatical leave for one year.

CVPR 2016:
(03/2016) We have four papers accepted to CVPR 2016 (2 orals, 1 spotlight and 1 poster).

Research Interests

Computer vision, machine learning, deep learning


  • Ph.D. in Computer Science, University of Maryland, College Park, MD, USA, 12/2005
  • M.S. in Computer Engineering, Seoul National University, Seoul, Korea, 08/2000
  • B.S. in Computer Engineering, Seoul National University, Seoul, Korea, 02/1997

Selected Recent Publication [More]

Awards and Honors

  • The Winner of Visual Object Tracking (VOT) Challenge, 2016
  • Microsoft Research Asia Fellowship (Advisor of Award Recipient Hyeonwoo Noh), 2016
  • Naver Young Faculty Award, 2016
  • The Winner of Visual Object Tracking (VOT) Challenge, 2015
  • Microsoft Research Asia Fellowship (Advisor of Award Recipient Seunghoon Hong), 2014


Professional Service

  • Conference/workshop organizer: ICCV 2019 (tutorial chair), DTCE 2012 (organizing chair), ACCV 2014 (demo chair)
  • Area chair: ICCV (2015, 2017), CVPR 2017, NIPS 2015, ACCV (2012, 2014, 2016), WACV (2014, 2017), ACML 2016
  • Program committee: NIPS 2016, CVPR (2007~2016), ICCV (2007, 2009, 2011, 2013), ECCV (2010, 2012, 2014), AISTATS (2017), ACCV (2009, 2010), AAAI (2016), IJCAI (2013), 3DV (2015), ICME (2013, 2014), PSIVT (2013)
  • Journal Associate Editor: Computer Vision and Image Understanding, Machine Vision and Applications, IPSJ Trans. on Computer Vision and Applications
  • Journal reviewer: TPAMI, IJCV, CVIU, TIP, IVC, TCSVT, TSP, TNNLS, T-IFS, JVCI, etc.

Selected Talks and Presentations [More]

  • CNN-based Visual Tracking, Google Brain, CA, USA (05/2017), NVidia Research, CA, USA (11/2016)
  • Deep Weakly Supervised Semantic Segmentation, IBM T.J. Watson Research Center (05/2017), Snap Research (03/2017), KAIST (05/2015), UNIST (05/2015)
  • Deep Learning at POSTECH Computer Vision Lab., Snap at San Francisco (02/2017), FCS Lab. at Samsung Electronics (10/2015), Hyundai Motors (08/2015)
  • Deep Weakly Supervised Learning in Computer Vision, Purdue University (09/2016), Korea-Japan Machine Learning Symposium (06/2016), KIAS (04/2016)
  • Learning Deconvolution Network for Semantic Segmentation, KAIST (04/2016), Yonsei University (03/2016), Naver (01/2016), Computer Vision Seminar at Univ. of Maryland, CSE Colloquium at Penn. State University, VASC Seminar in Robotics Institute at Carnegie Mellon University, GRASP Seminar at Univ. of Pennsylvania (10/2015), Willow Team at INRIA (07/2015), SNU (06/2015), Machine Learning Center Workshop at KCC (06/2015), UNIST (05/2015)
  • Deep Learning for Visual Recognition, SAIT (02/2016)
  • Deep Learning Architectures in Computer Vision Applications, EDA Workshop (02/2016)
  • Deep Learning for Visual Question Answering, IPIU2016 Tutorial (02/2016)
  • Structured Prediction using Convolutional Neural Networks, Deep Learning Workshop at SK Telecom (10/2015)
  • Deconvolutions in Convolutional Neural Networks, Pattern Recognition and Machine Learning Summer School (08/2015)
  • Combinatorial Optimization in Computer Vision, IEEK Image Understanding Tutorial (08/2015)
  • Structured Prediction by SVM for Computer Vision Applications, Yonsei University (05/2013, 05/2015), IEEK Image Understanding Tutorial (08/2013, 11/2013), POSTECH (03/2013)
  • Deep Learning: Technologies and Applications, ImageNext (05/2015), SK-Planet (03/2015)
  • Pedestrian Detection: Shallow and Deep Learning, ETRI (01/2015)
  • Beyond Chain Models for Visual Tracking, SAIT (12/2014), ACCV Area Chair Workshop at NTU (09/2014), KCCV at SNU (08/2014)
  • Machine Learning for Visual Tracking, IEEK Image Understanding Tutorial (08/2014)
  • Spectral Clustering, Pattern Recognition and Machine Learning Summer School (PRMLSS) at Yonsei University (08/2014)
  • Tracking and Video Segmentation for Sports Broadcasting, The Korean Society of Broadcast Engineer Workshop (04/2014)
  • Recursive Bayesian Estimation: Applications to Visual Tracking, Pattern Recognition and Machine Learning Winter School (PRMLWS) at Yonsei University (04/2012)
  • Generalized Background Subtraction, SNU MAE (05/2012), DGIST (04/2011), SNU EE (05/2011), ETRI (07/2011), Hanyang University (01/2013, 01/2014)

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