Thomas S. A. Wallis

CoRR, December, 2025

Contact angle uncertainty influences perceived causality in launching events.

[BibT_eX]

[DOI]

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Recent consumer OLED monitors can be suitable for vision science.

[BibT_eX]

[DOI]

CoRR, 2024

2021

How Well do Feature Visualizations Support Causal Understanding of CNN Activations?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.

[BibT_eX]

[DOI]

Judy Borowski

Roland Simon Zimmermann

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

2020

Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations.

[BibT_eX]

[DOI]

CoRR, 2020

The Notorious Difficulty of Comparing Human and Machine Perception.

[BibT_eX]

[DOI]

CoRR, 2020

Measuring the Importance of Temporal Features in Video Saliency.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Guiding human gaze with convolutional neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

Saliency Benchmarking: Separating Models, Maps and Metrics.

[BibT_eX]

[DOI]

CoRR, 2017

Understanding Low- and High-Level Contributions to Fixation Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

DeepGaze II: Reading fixations from deep features trained on object recognition.

[BibT_eX]

[DOI]

CoRR, 2016

2014

How close are we to understanding image-based saliency?

[BibT_eX]

[DOI]

Thomas Wallis