About Me

I am a Computer Science and Engineering Ph.D. candidate at the University of Michigan in Ann Arbor, working with Prof. Jason J. Corso in computer vision. I am interested in structured deep learning, especially applied to vision and language problems. In 2017, I did an internship at Toyota Research Institute in Cambridge under the advisement of Dr. Simon Stent and Dr. German Ros, where I compared the modeling and generalization performance of multiple state-of-the-art video prediction networks with a novel dataset.

In 2015, I graduated summa cum laude from the University of Massachusetts in Amherst, where I received B.S. degrees in Computer Science and Mathematics. At UMass, I did research as part of the RIPPLES lab under Prof. W. Richards Adrion and Prof. Paul E. Dickson. I worked on various aspects of the lab's Presentations Automatically Organized from Lectures (PAOL) system, including video conversion, whiteboard processing, multithreading, and the graphical user interface. For my Honors Thesis project, I proposed and evaluated a novel technique for segmenting whiteboard marker strokes in real time. Additionally, I was briefly a member of the Center for e-Design under the instruction of Prof. Jack C. Wileden and Prof. Sundar Krishnamurty, where I worked on a program that converted models between Computer-Aided Design systems.

Awards and Honors

  • NSF Graduate Research Fellowship 2017 - Honorable Mention (UMich)
  • Outstanding Achievement in Artificial Intelligence Award (UMass)
  • Honors Dean's Award (UMass)
  • Honors Research Grant (UMass)
  • Research Assistant Fellowship (UMass)



Ximeng Sun posted the code for our paper “A Temporally-Aware Interpolation Network for Video Frame Inpainting” on GitHub. Check it out here!


My paper “A Dataset To Evaluate The Representations Learned By Video Prediction Models” has been accepted to ICLR 2018 workshop track!


Ximeng Sun and I submitted the paper “A Temporally-Aware Interpolation Network for Video Frame Inpainting” to arXiv.



The code and keypoint data for my ArXiv paper “Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation” is now available.