Ayush K. Rai

PhD graduate in computer vision and deep learning from Insight Centre for Data Analytics, advised by Prof. Alan F. Smeaton and Prof. Noel O’Connor.

Research interests: Computer Vision, Machine Learning, Deep Learning, Video Understanding, Efficient computational methods, Multi-modal Learning: Vision + Language.

Prior to this, I was a graduate student at Ecole CentraleSupelec, University of Paris-Saclay, Paris pursuing M.Sc in Artificial Intelligence. I completed my master’s research Internship at Centre for Robotics, MINES ParisTech.

Currently I am actively looking for Full-time Machine Learning Researcher/Engineer roles. Please get in touch to discuss more.

news

Aug 15, 2025	1 paper accepted at ICCV 2025 Workshop on Long Multi-Scene Video Foundations.
Apr 05, 2024	1 paper accepted at CVPR 2024 Workshop on Visual Anomaly and Novelty Detection (VAND 2.0).
Nov 05, 2023	1 paper accepted at BMVC 2023.
Sep 18, 2023	Attended ELLIS Large Scale AI 2023 Summer School, Modena, Italy.
Aug 30, 2023	Attended M^2L 2023 Summer School, Thessaloniki, Greece.
Oct 10, 2022	1 paper accepted at WACV 2023.

selected publications

ICCVW 2025

Reinforcement Learning meets Masked Video Modeling: Trajectory-Guided Adaptive Token Selection

Ayush K. Rai, Kyle Min, Tarun Krishna , and 3 more authors

arXiv preprint arXiv:2505.08561, 2025

Bib PDF Code

@article{rai2025reinforcement,
  title = {Reinforcement Learning meets Masked Video Modeling: Trajectory-Guided Adaptive Token Selection},
  author = {Rai, Ayush K. and Min, Kyle and Krishna, Tarun and Hu, Feiyan and Smeaton, Alan F and O'Connor, Noel E},
  journal = {arXiv preprint arXiv:2505.08561},
  year = {2025},
}

CVPRW 2024

Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach

Ayush K. Rai, Tarun Krishna, Feiyan Hu , and 4 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2024

Bib PDF Code

@inproceedings{Rai_2024_CVPR,
  author = {Rai, Ayush K. and Krishna, Tarun and Hu, Feiyan and Drimbarean, Alexandru and Mcguinness, Kevin and Smeaton, Alan F. and O'connor, Noel E.},
  title = {Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
  month = jun,
  year = {2024},
  pages = {3887-3899},
}

BMVC 2023

Unifying Synergies between Self-supervised Learning and Dynamic Computation

Tarun Krishna, Ayush K. Rai, Alexandru F Drimbarean , and 5 more authors

In 34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023 , Jun 2023

Bib PDF Code

@inproceedings{Krishna_2023_BMVC,
  author = {Krishna, Tarun and Rai, Ayush K. and Drimbarean, Alexandru F and Arazo, Eric and Albert, Paul and Smeaton, Alan and McGuinness, Kevin and Connor, Noel O},
  title = {Unifying Synergies between Self-supervised Learning and Dynamic Computation},
  booktitle = {34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK, November 20-24, 2023},
  publisher = {BMVA},
  year = {2023},
}

WACV 2023

Motion Aware Self-Supervision for Generic Event Boundary Detection

Ayush K. Rai, Tarun Krishna, Julia Dietlmeier , and 3 more authors

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Jan 2023

Bib PDF Code

@inproceedings{Rai_2023_WACV,
  author = {Rai, Ayush K. and Krishna, Tarun and Dietlmeier, Julia and McGuinness, Kevin and Smeaton, Alan F. and O{\textquoteright}Connor, Noel E.},
  title = {Motion Aware Self-Supervision for Generic Event Boundary Detection},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  month = jan,
  year = {2023},
  pages = {2728-2739},
}