Matthew Kowal

According to our database, Matthew Kowal authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry.

Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg

CoRR, October, 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, June, 2025

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., January, 2025

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment.

Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Position, Padding and Predictions: A Deeper Look at Position Information in CNNs.

Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce

Int. J. Comput. Vis., September, 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

Visual Concept Connectome (VCC): Open World Concept Discovery and Their Interlayer Connections in Deep Models.

Matthew Kowal, Richard P. Wildes, Konstantinos G. Derpanis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Understanding Video Transformers via Universal Concept Discovery.

Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2023

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., March, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Maximizing Mutual Shape Information.

Md. Amirul Islam, Matthew Kowal, Patrick Esser, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Shape or Texture: Understanding Discriminative Features in CNNs.

Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce

Proceedings of the 9th International Conference on Learning Representations, 2021

Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs.

Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Simpler Does It: Generating Semantic Labels with Objectness Guidance.

Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness.

Md. Amirul Islam, Matthew Kowal, Konstantinos G. Derpanis, Neil D. B. Bruce

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Region Tracking in an Image Sequence: Preventing Driver Inattention.

Matthew Kowal, Gillian Sandison, Len Yabuki-Soh, Raner la Bastide

CoRR, 2019