Understanding image virality A Deza, D Parikh Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 127 | 2015 |
Emergent Properties of Foveated Perceptual Systems A Deza, T Konkle ArXiv, 2020 | 49 | 2020 |
Towards Metamerism via Foveated Style Transfer A Deza, A Jonnalagadda, M Eckstein International Conference on Learning Representations (ICLR), 2019 | 36 | 2019 |
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? A Deza, MP Eckstein Advances in Neural Information Processing Systems, 2016, 2847--2855, 2016 | 19 | 2016 |
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks A Harrington, A Deza International Conference on Learning Representations (ICLR), 2022 | 18 | 2022 |
Attention Allocation Aid for Visual Search A Deza, JR Peters, GS Taylor, A Surana, MP Eckstein CHI Conference on Human Factors in Computing Systems, 2017 | 12 | 2017 |
How big should this object be? Perceptual influences on viewing-size preferences YC Chen, A Deza, T Konkle Cognition 225, 105114, 2022 | 11 | 2022 |
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation B Wang, D Mayo, A Deza, A Barbu, C Conwell SVRHM 2021 Workshop @ NeurIPS, 2021 | 10 | 2021 |
General object-based features account for letter perception D Janini, C Hamblin, A Deza, T Konkle PLoS computational biology 18 (9), e1010522, 2022 | 9 | 2022 |
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 W Berrios, A Deza BrainScore Workshop at COSYNE, 2022 | 9 | 2022 |
Evaluating the adversarial robustness of a foveated texture transform module in a cnn JM Gant, A Banburski, A Deza SVRHM 2021 Workshop@ NeurIPS, 2021 | 9 | 2021 |
Accelerated Texforms: Alternative Methods for Generating Unrecognizable ObjectImages with Preserved Mid-Level Features A Deza, YC Chen, B Long, T Konkle Cognitive Computational Neuroscience (CCN), 2019 | 9 | 2019 |
Hierarchically compositional tasks and deep convolutional networks A Deza, Q Liao, A Banburski, T Poggio arXiv preprint arXiv:2006.13915, 2020 | 8 | 2020 |
Assessment of Faster R-CNN in Man-Machine collaborative search A Deza, A Surana, M Eckstein IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 7 | 2019 |
CUDA-Optimized real-time rendering of a Foveated Visual System E Malkin, A Deza, T Poggio SVRHM 2020 Workshop@ NeurIPS, 2020 | 5 | 2020 |
Quantifying Adversarial Sensitivity of a Model as a Function of the Image Distribution O Kunhardt, A Deza, T Poggio Journal of Vision 21 (9), 2841-2841, 2021 | 3* | 2021 |
Foveation induces robustness to scene occlusion in deep neural networks A Deza, T Konkle Journal of Vision 20 (11), 442-442, 2020 | 3 | 2020 |
Hierarchically local tasks and deep convolutional networks A Deza, Q Liao, A Banburski, T Poggio Center for Brains, Minds and Machines (CBMM), 2020 | 3 | 2020 |
Piranhas Toolkit: Peripheral Architectures for Natural, Hybrid and Artificial Systems A Deza, E Akbas, MP Eckstein GitHub, 2016 | 2 | 2016 |
How big should this object be? Perceptual influences on viewing-size preferences YC Chen, A Deza, T Konkle Journal of Vision 20 (11), 428-428, 2020 | 1 | 2020 |