Mohammad Javad Rajabi

I am a CS PhD Student at University of Toronto (UofT), and a Faculty Affiliate Researcher at Vector Institute. I am fortunate to be supervised by Babak Taati.

My research interests lie in generative modeling (flows and diffusion) for image/video/3D/4D generation and their potential to understand and construct sophisticated environments. I also have a deep interest in mathematics, optimization, and dynamic systems, particularly in their applications to generative models and machine learning.

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Publications & Preprints
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban, Javad Rajabi, Babak Taati
DisCrossFormer: A Deep Light‑weight Image Super Resolution Network using Correlated Cross‑attention
Alireza Esmaeilzehi, Mohammad Javad Rajabi, Hossein Zaredar, M. Omair Ahmad
IEEE MLSP 2024
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
Raha Ahmadi*, Mohammad Javad Rajabi*, Mohammad Khalooie, Mohammad Sabokrou
ACML 2023

Teaching Assistant

At University of Toronto (UofT):

  • CSC420: Introduction to Image Understanding - Winter 2025
  • CSC263: Data Structures and Analysis - Winter 2025

At Amirkabir University of Technology (AUT):

  • CE352: Robotics - Spring 2023
  • CE421: Information Retrieval - Fall 2022, Spring 2023
  • CE422: Principles of Cloud Computing - Spring 2023
  • CE221: Algorithm Design - Fall 2021
  • CE201: Logic Circuits - Fall 2021
Education
uoft

University of Toronto (UofT)
Department of Computer Science January 2025 – Present
PhD Student
Supervisor: Babak Taati

aut

Amirkabir University of Technology (Tehran Polytechnic)
Department of Computer Engineering September 2019 – March 2024
Bachelor Student

sampad

Shahid Ejei High School September 2016 – July 2019
Diploma in Mathematics and Physics Discipline


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