My name is Matthew Kowal, welcome to my website (and blog - link at the top). I am a PhD student in the Ryerson Vision Lab in Toronto, Canada, supervised by Dr. Kosta Derpanis. My research focuses on how we can better understand the world around us using neural networks and unlabelled data. In particular, I am currently working on designing interpretable deep learning algorithms for computer vision. I also write blog posts every so often talking about things related to my research.


  • April, 2021 - Internship: AI Scientist in Residence @ NextAI, Toronto, Canada; technical and R&D consultant for multiple startups with a focus on video analysis.

  • March 2021 - I have been selected as a Vector Institute Postgraduate Affiliate and will be serving this role for the next two years! See the announcement here.

  • March 2021 - I co-founded the Ontario Workshop on Computer Vision (OWCV). The inaugural workshop will take place in April 2021!

  • February 2021 - Gave a live coding tutorial on Deep Learning for Action Recognition at the Vector Institute.

  • January 2021 - Started role as a Technical Lead @ Vector Institute, Toronto Canada. I am leading a group of six data scientists from industry to complete a conference-level video understanding project which will be presented at the Computer Vision Symposium later in 2021.

  • January 2021 - Paper accepted to ICLR 2021! Shape or Texture: Understanding Discriminative Features in CNNs. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Kosta Derpanis, and Neil Bruce. Paper and Website

  • September, 2020 - Starting my PhD under the supervision of Dr. Kosta Derpanis @ Ryerson Vision Lab!

  • August, 2020 - Paper accepted to BMVC 2020 as an Oral presentation! Category Specific Feature Binding for Semantic Segmentation and Adversarial Robustness. Amirul Islam, Matthew Kowal, Kosta Derpanis, and Neil Bruce. Paper

  • May, 2020 - Awarded Ontario Graduate Scholarship (OGS)! (Accepted)

  • March, 2020 - Started role as AI Scientist in Residence @ NextAI, Toronto, Canada; technical and R&D consultant for multiple startups.

  • February, 2020 - Presented a poster titled ‘An Analysis of Structural Variant Callers’ at the Cancer Big Data and AI conference held in Toronto, Canada. Presented alongside Denis Keimakh (MSc @ The University of Toronto).

  • September, 2018 - Joined the Ryerson Vision Lab as an MSc, co-supervised by Dr. Neil Bruce and Dr. Kosta Derpanis.