Jonghyun Choi 최종현 메릴랜드 대학교

Research Engineer, Ph.D.
Allen Institute for Artificial Intelligence (AI2)
jonghyunc [at] allenai [dot] org

I am working on semantic understanding of weakly supervised visual data in AI2. I was a senior researcher in Comcast Labs, DC. I received my Ph.D. degree from University of Maryland, College Park, working with Prof. Larry S. Davis in Computer Vision Lab. I received a B.S. and a M.S. degree from Seoul National University, working with Prof. Kyoung-Mu Lee in SNU Computer Vision Lab.

C.V. | Google Scholar | Semantic Scholar | DBLP | LinkedIn | GitHub | SoundCloud

Research Interest

  • Computer Vision: Visual recognition (object/scene/face), semi-supervised/active learning, binary descriptor, deep convolutional neural network, anomalous event detection, optical character recognition
  • Machine Learning: Regularized discriminative classifiers, feature learning by the deep network
  • Computer Graphics: Image enhancement by fine-grained pixel tone calibration, color constancy by camera response function
  • News

    Research Internship

  • Microsoft Research, Redmond, WA | Summer 2014
  • Disney Research, Pittsburgh, PA | Spring 2014
  • Adobe Research, San Jose, CA | Summer 2013
  • U.S. Army Research Lab., Adelphi, MD | Summer 2011
  • Publications

    2017
    Are You Smarter Than A Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
    Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 [Spotlight] (To appear)
    [PDF] [BibTeX]
    2016
    ActionFlowNet: Learning Motion Representation for Action Recognition
    Joe Yue-Hei Ng, Jonghyun Choi, Jan Neumann, Larry S. Davis
    arXiv:1612.03052 Preprint [PDF-Preprint] [BibTeX]
    Learning Temporal Regularity in Video Sequences
    Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K. Roy-Chowdhury, Larry S. Davis
    IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016
    [PDF] [Supplementary] [BibTeX] [Project Page] [Code] [Video1] [Video2] [Poster]
    arXiv:1604.04574 [PDF-Preprint]
    Mining Discriminative Triplets of Patches for Fine-Grained Classification
    Yaming Wang, Jonghyun Choi, Vlad I. Morariu, Larry S. Davis
    IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016
    [PDF] [BibTeX] [Poster]
    Knowledge Transfer with Interactive Learning of Semantic Relationships
    Jonghyun Choi, Sung Ju Hwang, Leonid Sigal and Larry S. Davis
    AAAI Conference on Artificial Intelligence (AAAI) 2016 [Oral]
    [PDF] [BibTeX] [Slides] [Code]
    International Conference on Machine Learning - Active Learning Workshop (ICML-ALW) 2015 [PDF-ShortVer]
    Joint Image Clustering and Labeling by Matrix Factorization
    Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis
    IEEE Transactions on Pattern Analysis and Machine Intelligence. (TPAMI) 2016
    [PDF] [BibTeX]
    Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition
    Changxing Ding, Jonghyun Choi, Dacheng Tao, Larry S. Davis
    IEEE Transactions on Pattern Analysis and Machine Intelligence. (TPAMI) 2016
    arXiv:1401.5311
    (State-of-the-art performance on LFW dataset as of Dec. 2015) "Unrstrctd, Label-Free Outside Data" protocol [66:MDML-DCPs]
    [PDF] [BibTeX] [Code]
    2015
    Thermal-to-Visible Face Recognition Using Partial Least Squares
    Shuowen Hu, Jonghyun Choi, Alex L. Chan, William Robson Schwartz
    Journal of the Optical Society of America A (JOSA-A), March 2015
    [PDF] [BibTeX] [Journal Spotlight]
    2014
    Comparing apples to apples in the evaluation of binary coding methods
    Mohammad Rastegari, Shobeir Fakhraei, Jonghyun Choi, David Jacobs, Larry S. Davis
    arXiv:1405.1005
    [PDF] [BibTeX]
    Toward Sparse Coding on Cosine Distance
    Jonghyun Choi, Hyunjong Cho, Jungsuk Kwac and Larry S. Davis
    International Conference on Pattern Recognition (ICPR) 2014 [Oral]
    [PDF] [BibTeX] [Slides] [Project Page] [Code]
    2013
    Predictable Dual-View Hashing
    Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Hal Daume III and Larry S. Davis
    International Conference on Machine Learning (ICML) 2013
    [PDF] [BibTeX] [Code]
    Adding Unlabeled Samples to Categories by Learned Attributes
    Jonghyun Choi, Mohammad Rastegari, Ali Farhadi and Larry S. Davis
    IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2013
    [PDF] [BibTeX] [Poster] [Project Page] [Dataset] [Code]
    IEEE CVPR Scene Understanding Workshop (SUNw) 2013 (Invited)
    Title: Expanding Training Sets with Unlabeled Samples by Learned Attributes
    [PDF-Extended Abstract]
    2012
    Data Insufficiency in Sketch Versus Photo Face Recognition
    Jonghyun Choi, Abhishek Sharma, David W. Jacobs, and Larry S. Davis
    IEEE Conference on Computer Vision Pattern Recognition Workshop (CVPRW) on Biometrics 2012 [Oral]
    [Note]
    Face Verification Using Sparse Representation
    Huimin Guo, Ruiping Wang, Jonghyun Choi, and Larry S. Davis
    IEEE Conference on Computer Vision Pattern Recognition Workshop (CVPRW) on Biometrics 2012 [Short Oral]
    [PDF] [BibTeX]
    Robust Pose Invariant Face Recognition using Coupled Latent Space Discriminant Analysis
    Abhishek Sharma, Murad Al Haj, Jonghyun Choi, Larry S. Davis, and David W. Jacobs
    Computer Vision and Image Understanding 2012
    [PDF] [BibTeX]
    Thermal to Visible Face Recognition
    Jonghyun Choi, Shuowen Hu, S. Susan Young and Larry S. Davis
    SPIE DSS Conference DS107: Biometric Technology for Human Identification IX 2012 [Oral]
    [PDF] [BibTeX] [Magazine Article]
    A Complementary Local Feature Descriptor for Face Identification
    Jonghyun Choi, William R. Schwartz, Huimin Guo, and Larry S. Davis
    IEEE Workshop on the Applications of Computer Vision (WACV) 2012 [Oral] (Acpt Rate: 8.5%)
    [PDF] [BibTeX] [Slides] [Project Page] [Code]
    Face Identification Using Large Feature Set
    William R. Schwartz, Huimin Guo, Jonghyun Choi and Larry S. Davis
    IEEE Transactions on Image Processing (TIP) 2012
    [PDF] [BibTeX]
    Previous
    Accurate Stereo Matching using Pixel Response Function
    Jonghyun Choi and Kyoung Mu Lee
    Workshop on Image Processing and Image Understanding (IPIU), Jeju Korea, 2008
    [PDF] [BibTeX]
    An Efficient Trinocular Rectification Method for Stereo Matching
    Young-Ki Baik, Jonghyun Choi and Kyoung Mu Lee
    14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV) [Sponsored by IEEE], Busan Korea, 2007
    [PDF] [BibTeX]

    Services

  • Reviewer or Program Committee
    1. - CVPR 2015
      - NIPS 2016
      - ACCV 2014, 2016
      - IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2013
      - IEEE Transactions on Image Processing (TIP) 2014-2016
      - IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2014
      - IEEE Transactions on Information Forensics and Security (TIFS) 2013-2014
      - IEEE Transactions on Aerospace and Electronics Systems (TAES) 2012-2013
      - IEEE Signal Processing Letters (SPL) 2016
      - Computer Vision and Image Understanding (CVIU) 2012,2014
      - Pattern Recognition 2014
      - Pattern Recognition Letter 2014, 2015
      - Journal of Pattern Recognition Research 2016

    Awards

  • Distinguished dissertation fellowship, Dept. of ECE, University of Maryland, May 2015
  • Korean Scientist Engineers Association (KSEA) Graduate Scholarship, Aug. 2014
  • Golden Award (1st place), Samsung Humantech Paper Award, Feb. 2014
  • First Place, Korean Computer Scientist and Engineers Association (KOCSEA) Scholarship, Dec. 2013
  • Graduate Student Research Award, NIH-KSA Annual Bio-Engineering Symposium, Dec. 2013
  • Summer Research Fellowship, Graduate School, University of Maryland, Summer 2012 [one of 47/10,805]
  • Talks

  • Recognizing Visual Categories by Commonality and Diversity
         - Microsoft Bing, Nov. 2014
         - Amazon Graduate Research Symposium, Nov. 2014
         - VASC Seminar, Robotics Institute (RI), Carneigh Mellon University (CMU), Oct. 2014
  • Adding Unlabeled Samples using Learned Attributes
         - Microsoft Research, June 2014
         - Disney Research Pittsburgh, March 2014
         - 1st Mid-Atlantic Computer Vision (MACV) Workshop, Virginia Tech, April 2014
         - Graduate-student Research Interaction Day (GRID), University of Maryland, April 2013
  • Introduction to Computer Vision
         - Inaugural KSEA-UMD Academic Symposium, University of Maryland, March 2013 [Best Presentation Award]
  • Computer Vision Student Seminar, University of Maryland, May 2012~Present
  • Patents

    Automatic Initialization Method for Graph-Cut Algorithm
    Jonghyun Choi and Tae-hoon Kim
    Korean Patent Registered (10-0967379), 2010
    European/Japanese Patent Pending, 2012

    Software

    PLS Face Identification
    Partial Least Squares based Face identification (Joint work with Dr. William R. Schwartz)
    Link
    Usage: Refer to the manual
    Last updated: 2012.4.24

     



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