Dominick Reilly


I am a second-year PhD student at the University of North Carolina at Charlotte majoring in Computer Science. My research focuses on understanding human actions in videos, specifically daily-living actions that are observed in real-world environments. I am interested in utilizing both egocentric and third person viewpoints, as well as multiple modalities, to solve the challenges of daily-living actions. I am advised by Dr. Srijan Das.

Previously, I was a member of the Image Privacy Lab under the supervision of Dr. Liyue Fan. Our research adapted the standard notion of differential privacy to image data, with the objective of creating robust image obfuscation algorithms that offer rigorous privacy guarantees while preserving high utility.


Oct 2023 Our paper titled “Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders” is accepted to WACV 2024!
May 2023 I was awarded The Chateaubriand Fellowship!
Mar 2022 Our demo paper titled “DP-Shield: Face Obfuscation with Differential Privacy” is accepted at EDBT!
Dec 2021 Our paper titled “A Comparative Evaluation for Differentially Private Image Obfuscation” is accepted at IEEE TPS!

Selected publications

  1. ×
    Just Add π! Pose Induced Video Transformers for Understanding Activities of Daily Living
    Dominick Reilly, and Srijan Das
    In arXiv, 2024
  2. ×
    Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
    Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, and 5 more authors
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  3. ×
    DP-Shield: Face Obfuscation with Differential Privacy
    Muhammad Usama Saleem, Dominick Reilly, and Liyue Fan
    In International Conference on Extending Database Technology (EDBT), 2022
  4. ×
    A Comparative Evaluation of Differentially Private Image Obfuscation
    Dominick Reilly, and Liyue Fan
    In IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2021