Phillip Isola p h i l l i p i @ m i t . e d u Google Scholar / GitHub / Twitter

About me

I am an assistant professor in EECS at MIT studying computer vision, machine learning, and AI.

Previously, I spent a year as a visiting research scientist at OpenAI, and before that I was a postdoctoral scholar with Alyosha Efros in the EECS department at UC Berkeley. I completed my Ph.D. in Brain & Cognitive Sciences at MIT, under the supervision of Ted Adelson, where I also frequently worked with Aude Oliva. I received my undergraduate degree in Computer Science from Yale, where I got my start on research working with Brian Scholl.

I study why we represent the world the way we do, and how we can replicate these abilities in machines.

Papers

2020
	Contrastive Representation Distillation Yonglong Tian, Dilip Krishnan, Phillip Isola ICLR 2020. [Paper][Website][Code]
	On the "steerability" of generative adversarial networks Ali Jahanian*, Lucy Chai*, Phillip Isola ICLR 2020. [Paper][Website][Code]
2019
	Contrastive Multiview Coding Yonglong Tian, Dilip Krishnan, Phillip Isola arXiv 2019. [Paper][Website][Code]
	Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch arXiv 2019. [Paper][Blog][Code]
	Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak*, Chris Lu*, Trevor Darrell, Phillip Isola, Alexei A. Efros NeurIPS 2019. Winner of Virtual Creatures Competition at GECCO 2019 (link) [Paper][Website][Code]
	GANalyze: Toward Visual Definitions of Cognitive Image Properties Lore Goetschalckx*, Alex Andonian, Aude Oliva, Phillip Isola ICCV 2019. [Paper][Website][Code]
	InGAN: Capturing and Remapping the "DNA" of a Natural Image Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani ICCV 2019 (oral). [Paper][Website][Code]
	Experience-embedded Visual Foresight Lin Yen-Chen, Maria Bauza, Phillip Isola CoRL 2019. [Paper][Website][Code]
	Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGBD images Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez IROS 2019. [Paper][Website]
2018
	Evolved Policy Gradients Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel NeurIPS 2018. [Paper][Blog][Code]
	CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell ICML 2018. [Paper]
	Memorable words are monogamous: The role of synonymy and homonymy in word recognition memory Kyle Mahowald*, Phillip Isola*, Evelina Fedorenko, Edward Gibson, Aude Oliva PsyArXiv 2018. [Paper]
	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Schechtman, Oliver Wang CVPR 2018. [Paper][Website][Code]
	What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction Johanna Delanoy, Adrien Bousseau, Mathieu Aubry, Phillip Isola, Alexei A. Efros I3D 2018. [Paper][Video]
2017
	Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu*, Taesung Park*, Phillip Isola, Alexei A. Efros ICCV 2017. [Paper][Website][Code]
	Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation Ashvin Nair, Pulkit Agrawal, Dian Chen, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine ICRA 2017. [Paper][Website][Video]
	Richard Zhang*, Jun-Yan Zhu*, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros Real-Time User-Guided Image Colorization with Learned Deep Priors SIGGRAPH 2017. [Paper][Website][Code][Video]
	Ali Jahanian, Phillip Isola, Donglai Wei Mining Visual Evolution in 21 Years of Web Design CHI Extended Abstract, 2017. [Paper]
	Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros Image-to-Image Translation with Conditional Adversarial Networks CVPR, 2017. [Paper][Website][Code][Demo]
	Richard Zhang, Phillip Isola, Alexei A. Efros Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction CVPR, 2017. [Paper][Website][Code]
2016
	Richard Zhang, Phillip Isola, Alexei A. Efros Colorful Image Colorization European Conference on Computer Vision (ECCV), 2016 (oral). [Paper][Website][Code][Demo]
	Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman Visually Indicated Sounds IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (oral). [Paper][Website][Video][Dataset (50GB)]
	Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson Learning Visual Groups From Co-occurrences in Space and Time International Conference on Learning Representations, Workshop paper, 2016 [Paper]
2015
	Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman Learning Ordinal Relationships for Mid-Level Vision International Conference on Computer Vision (ICCV), 2015. [Paper][Website][Code]
	Phillip Isola*, Joseph J. Lim*, Edward H. Adelson Discovering States and Transformations in Image Collections IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 (oral). [Paper][Website][Dataset]
	Zoya Bylinskii, Phillip Isola, Constance Bainbridge, Antonio Torralba, Aude Oliva Intrinsic and Extrinsic Effects on Image Memorability Vision Research, 2015. [Paper][Website][Code][Dataset]
	Zhengdong Zhang, Phillip Isola, Edward H. Adelson Sparkle Vision: Seeing the World through Random Specular Microfacets 4th IEEE International Workshop on Computational Cameras and Displays, 2015. [Paper]
2014
	Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson Crisp Boundary Detection Using Pointwise Mutual Information European Conference on Computer Vision (ECCV), 2014 (oral). [Paper][Website][Code]
2013
	Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva What Makes a Photograph Memorable? Pattern Analysis and Machine Intelligence (PAMI), 2013. [Paper][Website][Dataset]
	Phillip Isola and Ce Liu Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers. International Conference on Computer Vision (ICCV), 2013. [Paper][Website]
	Michelle Borkin, Azalea Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister What Makes a Visualization Memorable? IEEE Transactions on Visualization and Computer Graphics (Infovis), 2013. [Paper][Website]
	Wilma A. Bainbridge, Phillip Isola, Aude Oliva The Intrinsic Memorability of Face Images. Journal of Experimental Psychology: General, 2013. [Paper][Website][Dataset]
	Aude Oliva, Phillip Isola, Aditya Khosla, Wilma A. Bainbridge What makes a picture memorable? SPIE Newsroom Article, 2013. [Article]
2012
	Aditya Khosla*, Jianxiong Xiao*, Phillip Isola, Antonio Torralba, Aude Oliva Image Memorability and Visual Inception. SIGGRAPH Asia Technical Briefs (Invited Paper), 2012. [Paper]
	Forrester Cole, Phillip Isola, William T. Freeman, Fredo Durand, Edward H. Adelson Shapecollage: Occlusion-aware, example-based shape interpretation. European Conference on Computer Vision (ECCV), 2012. [Paper][Website]
	Wilma A. Bainbridge*, Phillip Isola*, Idan Blank, Aude Oliva Establishing a database for studying human face photograph memorability. Proceedings of the Annual Conference of the Cognitive Sciences Society, 2012. [Paper][Website][Dataset]
2011
	Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva Understanding the intrinsic memorability of images. NeurIPS, 2011. [Paper]Website]
	Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva What makes an image memorable? IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [Paper][Website][Dataset]
2008
	Nicholas B. Turk-Browne, Phillip Isola, Brian J. Scholl, Teresa A. Treat Multidimensional visual statistical learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008. [Paper]