George Cazenavette

I am a PhD student studying Machine Learning for Vision and Graphics at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) I am extremely fortunate to be co-advised by two fantastic supervisors: Vincent Sitzmann and Antonio Torralba.

Before joining MIT, I was part of the Master of Science in Robotics program at Carnegie Mellon University supported by an NSF fellowship. During my time there, I have had the pleasure of being advised by Simon Lucey (now director of the Austrailian Institute for Machine Learning at The University of Adelaide) and Jun-Yan Zhu as well as collaborating with Alexei Efros (UC Berkeley) and Antonio Torralba (MIT).

Prior to attending CMU, I did my undergraduate studies at Louisiana Tech University where I completed degree programs in Computer Science, Mathematics, and Cyber Engineering. I'm forever grateful for the fantastic professors there that helped me get to where I am today, especially Mike O'Neal, Jonathan Walters, and Jean Gourd.

Email  /  Google Scholar  

profile photo

Publications
George Cazenavette, Avneesh Sud, Thomas Leung, and Ben Usman.
CVPR 2024
[Website] [Paper]
Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang, and Yang You.
NeurIPS 2023 (Spotlight)
[Website] [Paper] [Code]
CVPR-W 2022
[Website] [Paper] [Code]
CVPR 2022 (Oral)
[Website] [Paper] [Code]
Calvin Murdock, George Cazenavette, and Simon Lucey.
T-PAMI 2022
[Paper]
George Cazenavette , Calvin Murdock, and Simon Lucey.
CVPR 2021 (Oral)
[Paper] [Video]
Mary Pagnutti, Robert Ryan, George Cazenavette, Maxwell Gold, Ryan Harlan, Edward Leggett, and James Pagnutti.
JEI 2017
[Paper]

Preprints
George Cazenavette and Simon Lucey
arXiv preprint
[Paper]

Course Projects
George Cazenavette and Manual Ladron de Guevara
CMU Course Project
[Paper]

Education
Massachusetts Institute of Technology Cambridge, Massachusetts
Ph.D. in AI and Decision Making • Sept. 2022 - Present
Carnegie Mellon University Pittsburgh, Pennsylvania
M.S. in Robotics • Sept. 2019 - Aug. 2022
National Science Foundation GRFP
Louisiana Tech University Ruston, Louisiana
B.S. in Computer Science • Sept. 2015 - May 2019
B.S. in Mathematics • Sept. 2015 - May 2019
B.S. in Cyber Engineering • Sept. 2015 - May 2019
Fellowships
National Science Foundation GRFP
Teaching

Carnegie Mellon University, Machine Learning Department
10-417/617 - Intermediate Deep Learning (Fall 2020)
• Instructors: Ruslan Salakhutdinov and Andrej Risteski
10-707 - Advanced Deep Learning (Spring 2021)
• Instructor: Andrej Risteski

Selected Coursework

Carnegie Mellon University, Machine Learning Department
10-707 - Advanced Deep Learning (Spring 2020)
• Instructor: Andrej Risteski
10-725 - Convex Optimization (Fall 2020)
• Instructor: Yuanzhi Li
10-703 - Deep Reinforcement Learning (Fall 2020)
• Instructor: Katerina Fragkiadaki
Carnegie Mellon University, Robotics Institute

16-720 - Computer Vision (Fall 2019)
• Instructor: Simon Lucey
16-726 - Learning-Based Image Synthesis (Fall 2021)
• Instructor: Jun-Yan Zhu

Research Experience
Scene Representation Group, MIT CSAIL
Research Assistant • Fall 2022 to Present
Advisor: Vincent Sitzmann
Torralba Lab, MIT CSAIL
Research Assistant • Fall 2022 to Present
Advisor: Antonio Torralba
Argo AI, Pittsburgh, PA
Research Intern • Summer 2022
Advisor: Simon Lucey
Generative Intelligence Lab, Carnegie Mellon University
Research Assistant • Spring 2021 to Fall 2022
Advisor: Jun-Yan Zhu
Computer Vision Lab, Carnegie Mellon University
Research Assistant • Fall 2019 to Fall 2022
Advisor: Simon Lucey
Interaction Lab, University of Southern California
Research Intern • Summer 2018
Advisor: Maja Matarić
Innovative Imaging and Research, Stennis Space Center
Research Intern • Summers 2015, 2016
Advisor: Robert Ryan

Website source from Xindi Wu