Thomas S.A. Wallis
Cited by
Cited by
Understanding low-and high-level contributions to fixation prediction
M Kummerer, TSA Wallis, LA Gatys, M Bethge
Proceedings of the IEEE International Conference on Computer Vision, 4789-4798, 2017
Using fuzzy signal detection theory to determine why experienced and trained drivers respond faster than novices in a hazard perception test
TSA Wallis, MS Horswill
Accident Analysis & Prevention 39 (6), 1177-1185, 2007
Information-theoretic model comparison unifies saliency metrics
M Kümmerer, TSA Wallis, M Bethge
Proceedings of the National Academy of Sciences 112 (52), 16054-16059, 2015
Motion-induced blindness and motion streak suppression
TSA Wallis, DH Arnold
Current Biology 19 (4), 325-329, 2009
Staying focused: A functional account of perceptual suppression during binocular rivalry
DH Arnold, PM Grove, TSA Wallis
Journal of Vision 7 (7), 7-7, 2007
A parametric texture model based on deep convolutional features closely matches texture appearance for humans
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
Journal of vision 17 (12), 5-5, 2017
Testing models of peripheral encoding using metamerism in an oddity paradigm
TSA Wallis, M Bethge, FA Wichmann
Journal of vision 16 (2), 4-4, 2016
Visual crowding is correlated with awareness
TSA Wallis, PJ Bex
Current Biology 21 (3), 254-258, 2011
Binocular switch suppression: A new method for persistently rendering the visible ‘invisible’
DH Arnold, P Law, TSA Wallis
Vision research 48 (8), 994-1001, 2008
Saliency benchmarking made easy: Separating models, maps and metrics
M Kummerer, TSA Wallis, M Bethge
Proceedings of the European Conference on Computer Vision (ECCV), 770-787, 2018
Image correlates of crowding in natural scenes
TSA Wallis, PJ Bex
Journal of Vision 12 (7), 6: 1--19, 2012
Motion-induced blindness is not tuned to retinal speed
TSA Wallis, DH Arnold
Journal of Vision 8 (2), 11-11, 2008
Perceived size and spatial coding
DH Arnold, A Birt, TSA Wallis
Journal of Neuroscience 28 (23), 5954-5958, 2008
Image content is more important than Bouma’s Law for scene metamers
TSA Wallis, CM Funke, AS Ecker, LA Gatys, FA Wichmann, M Bethge
ELife 8, e42512, 2019
The notorious difficulty of comparing human and machine perception
CM Funke, J Borowski, K Stosio, W Brendel, TSA Wallis, M Bethge
arXiv preprint arXiv:2004.09406, 2020
Characterization of field loss based on microperimetry is predictive of face recognition difficulties
TSA Wallis, CP Taylor, J Wallis, ML Jackson, PJ Bex
Investigative ophthalmology & visual science 55 (1), 142-153, 2014
Spatiotemporal rivalry: A perceptual conflict involving illusory moving and static forms
DH Arnold, HE Erskine, W Roseboom, TSA Wallis
Psychological Science 21 (5), 692-699, 2010
Guiding human gaze with convolutional neural networks
LA Gatys, M Kümmerer, TSA Wallis, M Bethge
arXiv preprint arXiv:1712.06492, 2017
Saliency benchmarking: Separating models, maps and metrics
M Kümmerer, TS Wallis, M Bethge
arXiv preprint arXiv:1704.08615, 2017
Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations
MA Pedziwiatr, M Kümmerer, TSA Wallis, M Bethge, C Teufel
Cognition 206, 104465, 2021
The system can't perform the operation now. Try again later.
Articles 1–20