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





News


Image Retrieval by DELF:
(10/2017) Source code of our local feature descriptor, DELF, is released at the github repository.

MarioQA:
(10/2017) The project page of MarioQA is open. Click here for details.

NIPS 2017:
(09/2017) We have two papers accepted to NIPS 2017.

ICCV 2017:
(07/2017) We have two papers accepted to ICCV 2017.
(01/2017) I will be serving as an Area Chair for ICCV 2017.

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.

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.

Research Interests


Computer vision, machine learning, deep learning

Education


  • 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


Advising



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, 2017), 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]


  • Regularization by Noise in Deep Neural Networks, VTT Wrokshop in SNU (09/2017)
  • Deep Weakly Supervised Learning in Visual Recognition, Kakao Brain (09/2017), KAIST EE (05/2017), HRL (05/2017)
  • CNN-based Visual Tracking, 1st Joint BMTT-PETS Workshop on Tracking and Surveillance at CVPR 2017 (07/2017), 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)

Valid XHTML 1.0! Valid CSS!