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Associate Professor Computer Vision Lab. Dept. of Computer Science and Engineering POSTECH (Pohang University of Science and Technology) Pohang, Korea My new homepage at SNU is open now. [Link] |
News
Moving to Seoul National University:
(03/2018) After wonderful 7.5 years in POSTECH, I am joining Seoul National University. I will maintain this website for a while but move it under SNU domain soon. You can contact me via new e-mail address, [bhhan (at) snu.ac.kr].
Landmarks@CVPR2018:
(03/2018) Our challenge is introduced in Google Research Blog.
(02/2018) The challenge is open now! Please visit our website.
(12/2017) I am organizing Large-Scale Landmark Recognition: A Challenge (Landmarks) Workshop in conjunction with CVPR 2018.
AAAI 2018:
(11/2017) We have one paper accepted to AAAI 2018.
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.
(03/2018) After wonderful 7.5 years in POSTECH, I am joining Seoul National University. I will maintain this website for a while but move it under SNU domain soon. You can contact me via new e-mail address, [bhhan (at) snu.ac.kr].
Landmarks@CVPR2018:
(03/2018) Our challenge is introduced in Google Research Blog.
(02/2018) The challenge is open now! Please visit our website.
(12/2017) I am organizing Large-Scale Landmark Recognition: A Challenge (Landmarks) Workshop in conjunction with CVPR 2018.
AAAI 2018:
(11/2017) We have one paper accepted to AAAI 2018.
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.
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]
- Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, and Hee-Kap Ahn, Product Quantized Translation for Fast Nearest Neighbor Search, to appear in AAAI 2018
- Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, and Bohyung Han, Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization, to appear in NIPS 2017
- Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, and Leonid Sigal, Visual Reference Resolution using Attention Memory for Visual Dialog, to appear in NIPS 2017
- Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, and Bohyung Han, Large-Scale Image Retrieval with Attentive Deep Local Features, International Conference on Computer Vision (ICCV), Venice, Italy, 2017 [Project page]
- Jonghwan Mun*, Paul Hongsuck Seo*, Ilchae Jung, and Bohyung Han, MarioQA: Answering Questions by Watching Gameplay Videos, International Conference on Computer Vision (ICCV), Venice, Italy, 2017 [Project page]
- Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and Bohyung Han, Weakly Supervised Semantic Segmentation using Web-Crawled Videos, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017 Spotlight presentation (also available at arXiv:1701.00352)
- Bohyung Han, Jack Sim, and Hartwig Adam, BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017 [Poster, Results]
- Jeany Son, Mooyeol Baek, Minsu Cho, and Bohyung Han, Multi-Object Tracking with Quadruplet Convolutional Neural Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017
- Donghun Yeo, Jeany Son, Bohyung Han, and Joon H. Han, Superpixel-based Tracking-by-Segmentation using Markov Chains, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 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]
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 Lunit), 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 POSTECH), Donghun Yeo (Ph.D.; now at Stradvision)
Professional Service
- Conference/workshop organizer: ICCV 2019 (tutorial chair), Landmark@CVPR2018, 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, AVSS 2018
- Senior Program Committee: IJCAI (2018)
- Program committee: ICML (2018), ICLR (2018), NIPS (2016, 2017), CVPR (2007-2016, 2018), ICCV (2007, 2009, 2011, 2013), ECCV (2010, 2012, 2014), AISTATS (2017, 2018), 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]
- Deep Learning for Visual Question Answering, IEEK Tutorial (02/2018), KSC Tutorial (12/2017), IPIU2016 Tutorial (02/2016)
- Deep Weakly Supervised Learning in Visual Recognition, NVidia Research (02/2018), Snap Research (02/2018), Kakao Brain (09/2017), KAIST EE (05/2017), HRL (05/2017)
- Large Scale Image Retrieval and Geolocalization, KSC (12/2017)
- Weakly Supervised Temporal Action Localization, KSC (12/2017)
- Regularization by Noise in Deep Neural Networks, VTT Wrokshop at SNU (09/2017)
- 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)
- 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)
