Jimmy Wu

jw60 [at] cs.princeton.edu
Department of Computer Science
35 Olden Street Rm 414
Princeton, NJ 08544

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I am a second-year PhD student in the Department of Computer Science at Princeton University, where I am co-advised by Thomas Funkhouser and Szymon Rusinkiewicz. I am part of the Princeton Vision & Robotics Group. Previously, I got my bachelor's and master's in computer science at MIT, where I worked with Bolei Zhou and Antonio Torralba in the MIT CSAIL Computer Vision Group. I am interested in computer vision and robot learning.

Research

Real-Time Object Pose Estimation with Pose Interpreter Networks
Jimmy Wu, Bolei Zhou, Rebecca Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, and David M.S. Johnson
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
PDF / arXiv / code / video / BibTeX

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester Mackey, and Genevieve Patterson
arXiv:1805.12323, 2018
PDF / arXiv / BibTeX

Expert identification of visual primitives used by CNNs during mammogram classification
Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester Mackey, and Genevieve Patterson
SPIE Medical Imaging, 2018
PDF / arXiv / code / BibTeX

SegICP: Integrated Deep Semantic Segmentation and Pose Estimation
Jay M. Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian-Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, and David M.S. Johnson
Jimmy Wu, Bolei Zhou, and Antonio Torralba

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
PDF / arXiv / BibTeX

Teaching

Princeton COS 429: Computer Vision - Fall 2019
Teaching Assistant

MIT 6.036: Introduction to Machine Learning - Spring 2018
Teaching Assistant

MIT 6.869: Advances in Computer Vision - Fall 2017
Teaching Assistant

Honors

  • NSF Graduate Research Fellowship (2018-2023)
  • Gordon Y.S. Wu Fellowship in Engineering (2018-2023)
  • MIT EECScon 2nd Place Poster Presentation (2017)
  • Tau Beta Pi (2016)
  • Eta Kappa Nu (2016)


Webpage design courtesy of Jon Barron