I’m a Ph.D. student in the Stanford Computational Vision and Geometry Lab led by Professor Silvio Savarese. I’m interested in Computer Vision, Generative Models, Variational Inference. Before joining the lab, I rotated with Professor Stephen Boyd and Professor Leonidas Guibas. I am an amateur pianist, photographer and like swimming, skiing, and tennis!

Publications

Preprints

Programs

  • 3D Recurrent Reconstruction Neural Network (theano) code
  • Universal Correspondence Network (caffe) code
  • Fully Differentiable Deep Neural Decision Forest (tensorflow) code
  • Python GPU Accelerated K-Nearest Neighbor code
  • OpenSceneGraph Python Renderer code
  • Enriching Object Detection code

Talks

  • Optimization in Neural Networks, Stanford Deep Learning Reading Group, CA, USA, July 14th 2017, slides
  • Toyota Research Institute, Weakly Supervised Generative Adversarial Network for 3D Reconstruction, CA, USA, June 14th 2017
  • Stanford Faculty Lunch, Learning to Perceive 3D World, April 18th 2017, CA, USA, slides
  • Apple Deep Learning Reading Group, Weakly Supervised Generative Adversarial Network for 3D Reconstruction, CA, USA, Feb 26th 2017, slides
  • Stanford Vision Reading Group, Wasserstein GAN and Bidirectional GAN, CA, USA, January 2017, slides
  • Neural Information Processing Systems, Oral, Universal Correspondence Networks, Barcelona, Spain, December 2016, slides
  • European Conference on Computer Vision, Amsterdam, Netherlands, ObjectNet3D, Spotlight Oral, October 2016
  • Korea Advanced Institute of Science and Technology, Universal Correspondence Networks and 3D Recurrent Reconstruction Neural Networks, Daejeon, Korea, June 2016
  • NVIDIA GTC Hangout: Deep Learning in Image and Video 2016, 3D Recurrent Reconstruction Neural Networks, CA, USA, April 6th 2016
  • Stanford Deep Learning Reading Group, Decision Forest and Deep Neural Decision Forest, CA, USA, Feb 2016, slides

Professional Community Services

Click to expand
  • International Conference on 3D Vision, Reviewer, 2017
  • IEEE Transaction on Image Processing (TIP) Reviewer, 2017
  • Computer Vision and Pattern Recognition (CVPR) NRCV Workshop, Reviewer, 2017
  • International Conference on Computer Vision (ICCV), Reviewer, 2017
  • IEEE Transaction on Image Processing (TIP) Reviewer, 2017
  • Journal of Computer Vision and Image Understanding, Reviewer, 2016
  • [3DV Workshop on Understanding 3D and Visuo-Motor Learning](http://3dv.stanford.edu/visuo-motor/), Organizer
  • IEEE International Conference on Robotics and Automation (ICRA) Reviewer, 2017
  • Neural Information Processing Systems (NIPS) Reviewer, 2016
  • IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI) Reviewer, 2016
  • IEEE Transaction on Image Processing (TIP) Reviewer, 2016
  • [International Conference on 3D Vision](http://3dv.stanford.edu), Website Chair, 2016
  • [Office of Naval Research Workshop](http://cvgl.stanford.edu/ONR_SLSUW_14/), Student Organizer, 2014
  • [Bay Area Vision Meeting](http://cvgl.stanford.edu/bavm14/), Student Organizer, 2014

Teaching

  • CS231A Teaching Assistant, 2015

Coursework

Click to expand
  • Computer Vision
  • Machine Learning
  • Information Theory
  • Stochastic Control
  • Stochastic Processes
  • Mathematical Analysis
  • Convex Optimization I
  • Convex Optimization II
  • Mining Massive Data Sets
  • Statistical Signal Processing
  • Interactive Computer Graphics
  • Probabilistic Graphical Models
  • Modern Applied Statistics: Learning
  • Modern Applied Statistics: Data Mining
  • Convolutional Neural Networks For Visual Recognition

Education

  • Ph.D. Stanford University, TBD
  • M.S. Stanford University, 2014
  • B.S. Korea Advanced Institute of Science and Technology, 2012
    • Summa Cum Laude