Arturo Deza

Published as a Graduate Student

7. Arturo Deza, Yi-Chia Chen, Bria Long, Talia Konkle, “Accelerated Texforms: Alternative Methods for Generating Unrecognizable Object Images with Preserved Mid-Level Features”. Cognitive Computational Neuroscience (CCN) (2019)

6. Arturo Deza, Amit Surana, Miguel Eckstein, “Assessment of Faster R-CNN in Man-Machine collaborative search”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

5. Arturo Deza, Aditya Jonnalagadda, Miguel Eckstein, “Towards Metamerism via Foveated Style Transfer”. International Conference on Learning Representations (ICLR) (2019)

4. Arturo Deza, “Peripheral Representations: from Perception to Visual Search”. University of California, Santa Barbara

3. Arturo Deza, Jeffrey R Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein, “Attention Allocation Aid for Visual Search”, CHI Conference on Human Factors in Computing Systems, ACM (2017)

2. Arturo Deza, Miguel P. Eckstein, “Can Peripheral Representations Improve Clutter Metrics on Complex Scenes?”. Advances in Neural Information Processing Systems, Pages 2847-2855, Curran Associates, Inc (2016)

1. Arturo Deza, Devi Parikh, “Understanding image virality”. Proceedings of the IEEE conference on computer vision and pattern recognition, Pages 1818-1826 (2015)

see Google scholar link for additional publications