Arturo Deza

According to our database, Arturo Deza authored at least 14 papers between 2015 and 2022.

Collaborative distances:

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

2022

General object-based features account for letter perception.

Daniel Janini, Chris J. Hamblin, Arturo Deza, Talia Konkle

PLoS Comput. Biol., September, 2022

Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4.

William Berrios, Arturo Deza

CoRR, 2022

Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks.

Anne Harrington, Arturo Deza

Proceedings of the Tenth International Conference on Learning Representations, 2022

Achieving Adversarial Robustness in Deep Learning-Based Overhead Imaging.

Dagen Braun, Matthew D. Reisman, Larry Dewell, Andrzej Banburski-Fahey, Arturo Deza, Tomaso A. Poggio

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.

Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell

CoRR, 2021

The Effects of Image Distribution and Task on Adversarial Robustness.

Owen Kunhardt, Arturo Deza, Tomaso A. Poggio

CoRR, 2021

2020

CUDA-Optimized real-time rendering of a Foveated Visual System.

Elian Malkin, Arturo Deza, Tomaso A. Poggio

CoRR, 2020

Hierarchically Local Tasks and Deep Convolutional Networks.

Arturo Deza, Qianli Liao, Andrzej Banburski, Tomaso A. Poggio

CoRR, 2020

Emergent Properties of Foveated Perceptual Systems.

Arturo Deza, Talia Konkle

CoRR, 2020

2019

Towards Metamerism via Foveated Style Transfer.

Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein

Proceedings of the 7th International Conference on Learning Representations, 2019

Assessment of Faster R-CNN in Man-Machine Collaborative Search.

Arturo Deza, Amit Surana, Miguel P. Eckstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Attention Allocation Aid for Visual Search.

Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?

Arturo Deza, Miguel P. Eckstein

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Understanding image virality.

Arturo Deza, Devi Parikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015