I am a forth year PhD candidate in Dynamical Neuroscience at the Vision and Image Understanding Lab at UCSB, where I am supervised by Miguel Eckstein. My previous experience includes working with Manjunath at the Center for BioImage Informatics at UCSB and with Devi Parikh at the Computer Vision and Machine Perception Lab at Virginia Tech. I have a B.S. in Mechatronics Engineering (Robotics) from Universidad Nacional de Ingenieria in Lima, Peru where I was advised by Alberto Coronado and Elizabeth Villota.

My research is in the intersection of the fields of Computer and Human vision where I have previously worked on image virality at Virginia Tech using different machine learning, psychophysics and computer vision techniques. I currently work on bio-inspired models for object recognition and scene understanding at UCSB. I am also affiliated with the Institute for Collaborative Biotechnologies.

During my PhD, I hope to answer the question of: 'Are biologically inspired human vision models necessary for advanced computer & robot vision? And if so, what aspects should be borrowed and ignored from visual psychology?' I draw my inspiration from Artificial Intelligence, Machine Learning, Neuroscience and Physics.

You can download my CV here: CV.

You can also find me on Google Scholar, LinkedIn, GitHub, .

contact: deza {at} dyns . ucsb . edu

Publications Code/Data/Demo
d_prime_heatmaps.png Arturo Deza, Jeffrey R. Peters, Grant S. Taylor, Amit Surana, Miguel P. Eckstein. Attention Allocation Aid for Visual Search. Conference on Human Factors in Computing Systems (CHI), 2017. Video
Piranhas_img.png Arturo Deza, Miguel P. Eckstein, Can Peripheral Representations Improve Clutter Metrics on Complex Scenes? Neural Information Processing Systems (NIPS), 2016 NIPS Poster Spotlight Video Video Demo Code
grumpy_cat.jpg Arturo Deza, Devi Parikh, Understanding Image Virality. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Virality Website
Foveal_Colors.png Arturo Deza, Emre Akbas , Miguel P. Eckstein. Piranhas Toolkit: Peripheral Architectures for Natural, Hybrid and Artificial Systems GitHub
Posters and Workshops
Philosoraptor.png Arturo Deza, Devi Parikh, Understanding Image Virality. IEEE CVPR Scene Understanding Worshop (SUNw) nvidia_pic.png Nvidia Best Poster Award, 2015.
VSS_2015.JPG Arturo Deza, Emre Akbas. , Miguel P. Eckstein, Scene Context and Set Size effects in Search. Vision Sciences Society (VSS) - Visual Search, 2015.
Talks (The first author delivered each talk)
AAAD.png Amit Surana, Jeff Peters, Arturo Deza, Grant S. Taylor ,Luca Bertuccelli, Francesco Leonardi , Miguel P. Eckstein. Optimal User Attention Allocation in a Multi-tasking Environment. American Controls Conference (ACC) Workshop, 2016.
148.jpg Arturo Deza, Grant S. Taylor , Miguel P. Eckstein, The Influence of Visual Clutter on Search Guidance with Complex Scenes. Vision Sciences Society (VSS) - Visual Search, 2016
Cosyne.png Miguel P. Eckstein, Arturo Deza,Emre Akbas. Spatial Attention with synthetic cues and real scenes. Cosyne, 2016.
cuda_logo.png NeuroSurfer (internet alterego) [Solved] Titan X for CUDA 7.5 login-loop error [Ubuntu 14.04] , Nvidia Forums CUDA Drivers for Linux


  • I will be joining UTRC (United Technologies Research Center) as a Computer Vision Intern over the summer!
  • I will be giving a talk at the Instituto de Matematicas and Ciencias Afines Research Center in Lima, Peru in December on my research.
  • I will be giving a talk at the Mechanical Engineering Department of Universidad Nacional de Ingenieria (my alma mater) in Lima, Peru about my research in December.
  • I will be giving a talk at the Telecommunications Research Center (INICTEL) in Lima, Peru about my research.
  • I am currently serving as an assigned reviewer for IUI 2017.
  • I have server as a volunteer reviewer for NIPS 2016.
  • I am currently organizing the Human and Machine Perception Seminar as part of the Dynamical Neuroscience weekly seminar class.

Ranking of conference proceedings and journals in Artificial Intelligence related fields: Computer Vision, AI and Machine Learning, Robotics, Computer Graphics, Human-Computer Interaction.
Ranking of conference proceedings and journals in Neuroscience related fields: Neurology, Life Sciences

"Give me a computer, a piano and a surfboard, and I will live happy for the rest of my life" .

I am also a proud owner of a Lamborghini