Hyun Oh Song

1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

I'm an assistant professor in the Department of Computer Science and Engineering at Seoul National University. Before SNU, I was a full-time research scientist at Google Research, in Mountain View, where I worked on machine learning and deep learning. Before Google, I was a postdoctoral fellow in SAIL in the Computer Science Department at Stanford University. I finished my Ph.D in Computer Science at UC Berkeley in late 2014. My graduate study was fully supported by Samsung Lee Kun Hee Scholarship Foundation (Now Samsung Scholarship Foundation) for five years. In summer 2013, I spent a wonderful time at LEAR, INRIA as a visiting student researcher.

My research interests are in machine learning, deep learning, computer vision, and robotics. Broadly, I'm interested in solving challenging problems in artificial intelligence. Also, I'm an invited reviewer for NIPS, ICML, SIGGRAPH, TPAMI, IJCV, RSS, ICCV, ECCV, CVPR, CVIU, and ICRA.

Email / LinkedIn / Thesis / Github


News

  • I'm moving to Seoul National University as an assistant professor starting Sep 2017.
  • I'll join Google Research as a research scientist starting July, 2016.
  • I'll serve as an Oral and Spotlight session chair at CVPR16.
  • I'm giving a guest lecture on Convolutional Neural Networks for CS231A at Stanford on May 18.
  • Code and dataset on Deep metric learning are now available on Github.
  • I'm co-organizing an ONR workshop on Structured Learning at Stanford.


For prospective students

  • It's best to first apply for undergraduate internship and/or take my machine learning course (4190.666).

  • Selected Publications
    cvpr2017

    Deep Metric Learning via Facility Location
    Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
    IEEE Computer Vision and Pattern Recognition (CVPR), 2017
    Spotlight presentation
    paper / bibtex / Talk video

    nips2016

    Learning Transferrable Representations for Unsupervised Domain Adaptation
    Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
    Neural Information Processing Systems (NIPS), 2016
    paper / bibtex

    cvpr2016

    Deep Metric Learning via Lifted Structured Feature Embedding
    Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
    IEEE Computer Vision and Pattern Recognition (CVPR), 2016
    Spotlight presentation
    paper / code / dataset / bibtex / Talk video

    Sparselet_TPAMI2014

    Generalized Sparselet Models for Real-Time Multiclass Object Recognition
    Hyun Oh Song, Ross Girshick, Stefan Zickler, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
    paper / code / Demo Video 1 / Demo Video 2 / bibtex

    TASE2014

    Learning to detect visual grasp affordance
    Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
    IEEE Transactions on Automation Science and Engineering (TASE), 2015
    paper / Demo Video / bibtex

    OBOD_ICML14

    Weakly-supervised Discovery of Visual Pattern Configurations
    Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
    Neural Information Processing Systems (NIPS), 2014
    paper / bibtex

    OBOD_ICML14

    On learning to localize objects with minimal supervision
    Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell
    International Conference on Machine Learning (ICML), 2014
    paper / Talk Video / code / bibtex

    DAS_ICML13

    Discriminatively Activated Sparselets
    Hyun Oh Song*, Ross Girshick*, Trevor Darrell
    International Conference on Machine Learning (ICML), 2013
    Selected full oral presentation
    paper / slide / poster / supp / bibtex

    Bbank_ACMMM12

    Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition
    Tim Althoff, Hyun Oh Song, Trevor Darrell
    ACM Multimedia (ACMMM), 2012
    paper / poster / bibtex

    Sparselets_ECCV12

    Sparselet Models for Efficient Multiclass Object Detection
    Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross Girshick, Mario Fritz, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
    European Conference on Computer Vision (ECCV), 2012
    paper / Demo Video / poster / bibtex / code

    Grasp_ICCV11

    Visual Grasp Affordances From Appearance-Based Cues
    Hyun Oh Song, Mario Fritz, Chunhui Gu, Trevor Darrell
    ICCV Workshop on Challenges and Opportunities in Robot Perception, 2011
    Best paper award
    paper / bibtex


    Demos
    Demo_CVPR12

    Real-Time Multiclass Object Recognition
    Hyun Oh Song, Stefan Zickler, Ross Girshick, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
    Computer Vision and Pattern Recognition (CVPR), 2012


    Awards
    SLSF_Logo

    Samsung Lee Kun Hee Foundation (now Samsung Scholarship)
    5 year Ph.D. fellowship


    Teaching
    4190.666

    4190.666 Machine Learning
    Instructor, Seoul National University, 2017

    CS70

    CS70 Discrete Mathematics and Probability Theory
    GSI, UC Berkeley, 2012


    Erdös = 4 (via three paths)

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