Biography

I am a PhD student at Concordia University and Mila Quebec AI Institute in Canada with a passion for computer vision and deep learning research. I am specifically interested in increasing the efficiency of training deep learning models by leveraging previous knowledge in models through continual learning, meta learning and model reuse. I am being supervised by Dr.Eugene Belilovsky and Dr.Tiberiu Popa. Before coming to Mila and Concordia , I worked as a research intern at KAUST in Vision CAIR group under the supervision of Dr.Mohammed Elhoseiny. I did my undergraduate at University of Moratuwa, Sri Lanka with thesis in reconstructing 3D objects with few views with Dr. Thanuja Ambegoda.

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Interests
  • Computer vision
  • Deep learning
  • Continual learning
  • Zero shot learning
Education
  • PhD in Computer Science, 2024-2028

    Concordia University

  • Masters in Computer Science, 2023-2025

    Concordia University

  • BSc in Computer science and Engineering, 2018-2023

    University of Moratuwa

Recent Publications

(2024). Towards motion from video diffusion models. In ECCV 2024 Workshop.

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(2024). Overcoming Generic Knowledge Loss with Selective Parameter Update. In CVPR 2024.

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(2023). Continual zero-shot learning through semantically guided generative random walk. In ICCV 2023.

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(2023). Domain Aware Zero shot learning. In ICCV 2023 Workshop.

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(2022). A Simple baseline that questions the use of pre-trained model in continual learning. In NeurIPS2022 Workshop.

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Experience

 
 
 
 
 
Concordia University
PhD Student
May 2024 – Present Montreal, Canada
 
 
 
 
 
Mila Quebec AI Institute
PhD Student
May 2024 – Present Montreal, Canada
 
 
 
 
 
Mila Quebec AI Institute
Masters Student
Sep 2023 – May 2024 Montreal, Canada
Fast Tracked to PhD
 
 
 
 
 
King Abdullah University of Science and Technology
Research Intern
Jan 2021 – Jan 2023 Jeddah, Saudi Arabia
 
 
 
 
 
University of Moratuwa
Undergraduate Student/Researcher
Oct 2018 – Jul 2023 Moratuwa, Sri Lanka

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