Követés
Arturo Deza
Arturo Deza
Assistant Professor in Computer Science at UTEC || Co-Founder & CEO of Artificio
E-mail megerősítve itt: utec.edu.pe - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Understanding image virality
A Deza, D Parikh
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1252015
Emergent Properties of Foveated Perceptual Systems
A Deza, T Konkle
ArXiv, 2020
492020
Towards Metamerism via Foveated Style Transfer
A Deza, A Jonnalagadda, M Eckstein
International Conference on Learning Representations (ICLR), 2019
352019
Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?
A Deza, MP Eckstein
Advances in Neural Information Processing Systems, 2016, 2847--2855, 2016
192016
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
A Harrington, A Deza
International Conference on Learning Representations (ICLR), 2022
182022
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
122017
How big should this object be? Perceptual influences on viewing-size preferences
YC Chen, A Deza, T Konkle
Cognition 225, 105114, 2022
112022
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
102021
General object-based features account for letter perception
D Janini, C Hamblin, A Deza, T Konkle
PLoS computational biology 18 (9), e1010522, 2022
92022
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
92022
Evaluating the adversarial robustness of a foveated texture transform module in a cnn
JM Gant, A Banburski, A Deza
SVRHM 2021 Workshop@ NeurIPS, 2021
92021
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
92019
Hierarchically compositional tasks and deep convolutional networks
A Deza, Q Liao, A Banburski, T Poggio
arXiv preprint arXiv:2006.13915, 2020
82020
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
72019
CUDA-Optimized real-time rendering of a Foveated Visual System
E Malkin, A Deza, T Poggio
SVRHM 2020 Workshop@ NeurIPS, 2020
52020
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
32020
Hierarchically local tasks and deep convolutional networks
A Deza, Q Liao, A Banburski, T Poggio
Center for Brains, Minds and Machines (CBMM), 2020
32020
Piranhas Toolkit: Peripheral Architectures for Natural, Hybrid and Artificial Systems
A Deza, E Akbas, MP Eckstein
GitHub, 2016
22016
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
12020
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