Ayush K. Rai

ML Researcher, PhD, Insight Research Centre for Data Analytics

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AI Research Scientist/Engineer with 5+ years of experience in multimodal AI, self-supervised learning and video understanding across academia and industry. Designed and implemented scalable deep learning systems for foundation models, video representation learning and generative modeling, with publications at CVPR, ICCV, WACV, and BMVC. Experienced in large-scale training and building efficient models for real-world data.

PhD 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 or Scientist 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

  1. ICCVW 2025
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    Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection
    Ayush K. Rai, Kyle Min, Tarun Krishna , and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops , Oct 2025
  2. CVPRW 2024
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    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
  3. BMVC 2023
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    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
  4. WACV 2023
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    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