Region Tracking in an Image Sequence: Preventing Driver Inattention. - Matthew Kowal; Gillian Sandison; Len Yabuki-Soh; Raner la Bastide (CoRR, 2019)

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2020)

Simpler Does It: Generating Semantic Labels with Objectness Guidance. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2021)

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (ICCV, 2021)

Shape or Texture: Understanding Discriminative Features in CNNs. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Sen Jia 002; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (ICLR, 2021)

Maximizing Mutual Shape Information. - Md. Amirul Islam; Matthew Kowal; Patrick Esser; Björn Ommer; Konstantinos G. Derpanis; Neil D. B. Bruce (BMVC, 2022)

A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2022)

SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. - Md. Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2023)

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). - Shih-Han Chou; Matthew Kowal; Yasmin Niknam; Diana Moyano; Shayaan Mehdi; Richard Pito; Cheng Zhang (Canadian AI, 2024)

Understanding Video Transformers via Universal Concept Discovery. - Matthew Kowal; Achal Dave; Rares Ambrus; Adrien Gaidon; Konstantinos G. Derpanis; Pavel Tokmakov (CVPR, 2024)

Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models. - Matthew Kowal; Richard P. Wildes; Konstantinos G. Derpanis (CVPR, 2024)

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). - Shih-Han Chou; Matthew Kowal; Yasmin Niknam; Diana Moyano; Shayaan Mehdi; Richard Pito; Cheng Zhang; Ian Knopke; Sedef Akinli Koçak; Leonid Sigal; Yalda Mohsenzadeh (CoRR, 2024)

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs. - Md. Amirul Islam; Matthew Kowal; Sen Jia 002; Konstantinos G. Derpanis; Neil D. B. Bruce (Int. J. Comput. Vis., 2024)

Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Matthew Kowal; Mennatullah Siam; Md. Amirul Islam; Neil D. B. Bruce; Richard P. Wildes; Konstantinos G. Derpanis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment. - Harrish Thasarathan; Julian Forsyth; Thomas Fel; Matthew Kowal; Konstantinos G. Derpanis (CoRR, 2025)

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. - Thomas Fel; Ekdeep Singh Lubana; Jacob S. Prince; Matthew Kowal; Victor Boutin; Isabel Papadimitriou; Binxu Wang; Martin Wattenberg; Demba E. Ba; Talia Konkle (CoRR, 2025)

It's the Thought that Counts: Evaluating the Attempts of Frontier LLMs to Persuade on Harmful Topics. - Matthew Kowal; Jasper Timm; Jean-François Godbout; Thomas Costello; Antonio A. Arechar; Gordon Pennycook; David Rand; Adam Gleave; Kellin Pelrine (CoRR, 2025)