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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 |
News
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).
(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
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]
- Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and Bohyung Han, Weakly Supervised Semantic Segmentation using Web-Crawled Videos, to appear in CVPR 2017 Spotlight presentation
- Bohyung Han, Jack Sim, and Hartwig Adam, BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks, to appear in CVPR 2017
- Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han, Multi-Object Tracking with Quadruplet Convolutional Neural Networks, to appear in CVPR 2017
- Donghun Yeo, Jeany Son, Bohyung Han, and Joon H. Han, Superpixel-based Tracking-by-Segmentation using Markov Chains, to appear in CVPR 2017
- Suha Kwak, Seunghoon Hong, and Bohyung Han, Weakly Supervised Semantic Segmentation using Superpixel Pooling Network, The Thirty-first AAAI Conference (AAAI), San Francisco, CA, USA, 2017
- Jonghwan Mun, Minsu Cho, and Bohyung Han, Text-Guided Attention Model for Image Captioning, The Thirty-first AAAI Conference (AAAI), San Francisco, CA, USA, 2017
- Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, and Larry S. Davis, Joint Image Clustering and Labeling by Matrix Factorization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1411-1424, 2016
- Hyeonseob Nam*, Mooyeol Baek*, and Bohyung Han, Modeling and Propagating CNNs in a Tree Structure for Visual Tracking, arXiv:1608.07242, 2016 The Winner of VOT 2016 Challenge
- Hyeonwoo Noh, Paul Hongsuck Seo, and Bohyung Han, Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016, Oral presentation [Project page]
- Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi, Learning to Select Pre-trained Deep Representations with Bayesian Evidence Framework, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016 Oral presentation
- Seunghoon Hong, Junhyuk Oh, Bohyung Han, and Honglak Lee, Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016, Spotlight presentation [Project page]
- Hyeonseob Nam and Bohyung Han, Learning Multi-Domain Convolutional Neural Networks for Visual Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016 The winner of VOT2015 challenge [Project page]
- Donghun Yeo, Bohyung Han, and Joon H. Han, Unsupervised Co-activity Detection from Multiple Videos Using Absorbing Markov Chain, The Thirtieth AAAI Conference (AAAI), Phoenix, AZ, USA, 2016
- Seunghoon Hong*, Hyeonwoo Noh*, and Bohyung Han, Decoupled Deep Neural Network for Semi-Supervised Semantic Segmentation, Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2015 Spotlight presentation (* indicates equal contribution.) (also available at arXiv:1506.04924) [Project page]
- Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han, Learning Deconvolution Network for Semantic Segmentation, International Conference on Computer Vision (ICCV), Santiago, Chile, 2015 (also available at arXiv:1505.04366) [Project page]
- Jeany Son, Ilchae Jung, Kayoung Park, and Bohyung Han, Tracking-by-Segmentation with Online Gradient Boosting Decision Tree, International Conference on Computer Vision (ICCV), Santiago, Chile, 2015 [Project page]
- Seunghoon Hong, Tackgeun You, Suha Kwak, and Bohyung Han, Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network, International Conference on Machine Learning (ICML), Lille, France, 2015 [Project page]
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
- Graduate Students: Jeany Son, Ilchae Jung, Tack Geun You, Jonghwan Mun, Moo-Yeol Baek Hyeonwoo Noh, Woong Gi Chang, Paul Hongsuck Seo, Wonsuk Lee, Solae Lee, Daniel Kim, Sunwoo Oh, Donghun Yeo (co-advising with Prof. J. H. Han)
- Undergraduate Students:
- Alumni: Seunghoon Hong (Ph.D.), Chanmi You (MS; now at Naver Labs.), Jan Feyereisl (PostDoc; now at GoodAI), Hyeonseob Nam (MS; now at Naver Corp.), Suna Kim (MS; now at ADD), Hyeonwoo Noh (undergraduate student; now at POSTECH), Inveom Kwak (MS, now at ITX security), Kayoung Park (MS; now at ADD), Changkyu Song (undergraduate student; now Ph.D. student at Rutgers), Taegyu Lim (Ph.D.; now at Samsung DMC Lab.), Suha Kwak (Ph.D.; PostDoc at INRIA, now Assistant Professor at DGIST)
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)
