Dominick Reilly

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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.

News

Feb 2024 One paper, “Just Add π! Pose Induced Video Transformers for Understanding Activities of Daily Living”, is accepted to CVPR 2024!
Oct 2023 One paper, “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! Starting Feb 2024, I will spend 4 months at INRIA, Sophia Antipolis, France as a research intern with the STARS Team.

Selected publications

  1. ×
    LLAVIDAL: Benchmarking Large Language Vision Models for Daily Activities of Living
    Rajatsubhra Chakraborty*, Arkaprava Sinha*, Dominick Reilly*, Manish Kumar Govind, and 3 more authors
    In arXiv, 2024
  2. ×
    Just Add π! Pose Induced Video Transformers for Understanding Activities of Daily Living
    Dominick Reilly, and Srijan Das
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition Conference (CVPR), 2024
  3. ×
    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