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Kelly Zhu

PhD Student
Carnegie Mellon University
kellyzhu (at) andrew.cmu.edu


About Me

I am an incoming PhD student at CMU Robotics Institute. Previously, I completed my MSc in Computer Science with David Lindell and Kyros Kutulakos at the University of Toronto. Before that, I received my BASc in Engineering Science at the University of Toronto, where I was advised by Florian Shkurti.

My PhD is gratefully supported by the NSERC Canada Graduate Research Scholarship – Doctoral, and my MSc research was previously funded by the Vector Scholarship in AI, Queen Elizabeth II Graduate Scholarship in Science & Technology, and Ontario Graduate Scholarship.

Research

I am broadly interested in computer vision, machine learning, and robotics.

News

Publications

  1. ACM TOG
    Generating the Past, Present and Future from a Motion-Blurred Image
    SaiKiran Tedla, Kelly Zhu, Trevor Canham, Felix Taubner, Michael S. Brown, Kiriakos N. Kutulakos, David B. Lindell
    ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2025)
    PDF Project Page BibTex

  2. ICCV
    MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving
    Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan
    International Conference on Computer Vision (ICCV 2023)
    PDF BibTex

Teaching