Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

May 25, 2020
Tongzhou Wang, Phillip Isola


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What makes for good views for contrastive learning

May 20, 2020
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

* submitted to ECCV 2020 

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Supervised Contrastive Learning

Apr 23, 2020
Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan


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Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

Mar 25, 2020
Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

* First two authors contributed equally. Code: http://github.com/WangYueFt/rfs/ 

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Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks

Jan 31, 2020
Joseph Suarez, Yilun Du, Igor Mordach, Phillip Isola


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Experience-Embedded Visual Foresight

Nov 17, 2019
Lin Yen-Chen, Maria Bauza, Phillip Isola

* CoRL 2019. Project website: http://yenchenlin.me/evf/ 

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Contrastive Representation Distillation

Oct 23, 2019
Yonglong Tian, Dilip Krishnan, Phillip Isola

* Project Page: http://hobbitlong.github.io/CRD/, Code: http://github.com/HobbitLong/RepDistiller 

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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video

Oct 01, 2019
Maria Bauza, Ferran Alet, Yen-Chen Lin, Tomas Lozano-Perez, Leslie P. Kaelbling, Phillip Isola, Alberto Rodriguez

* IROS 2019, 8 pages, 7 figures 

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On the ''steerability" of generative adversarial networks

Jul 16, 2019
Ali Jahanian, Lucy Chai, Phillip Isola


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GANalyze: Toward Visual Definitions of Cognitive Image Properties

Jun 24, 2019
Authors, :, Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

* 17 pages, 15 figures 

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Contrastive Multiview Coding

Jun 23, 2019
Yonglong Tian, Dilip Krishnan, Phillip Isola

* In submission. Code: http://github.com/HobbitLong/CMC/ 

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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents

Mar 02, 2019
Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch


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Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Feb 14, 2019
Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

* Website at https://pathak22.github.io/modular-assemblies/ 

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Internal Distribution Matching for Natural Image Retargeting

Dec 01, 2018
Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani


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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Aug 30, 2018
Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros

* An extended version of our ICCV 2017 paper, v5 (1) adds the link to CycleGAN PyTorch code and (2) fixes typos and formatting issues. 

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3D Sketching using Multi-View Deep Volumetric Prediction

Jun 19, 2018
Johanna Delanoy, Mathieu Aubry, Phillip Isola, Alexei A. Efros, Adrien Bousseau

* See our accompanying video on https://youtu.be/DGIYzmlm2pQ, networks and databases available at https://ns.inria.fr/d3/3DSketching/. To appear in PACMCGIT 

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Evolved Policy Gradients

Apr 29, 2018
Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel


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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Apr 10, 2018
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang

* Accepted to CVPR 2018; Code and data available at https://www.github.com/richzhang/PerceptualSimilarity 

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CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Dec 29, 2017
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell


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Image-to-Image Translation with Conditional Adversarial Networks

Nov 22, 2017
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

* CVPR 2017 
* Website: https://phillipi.github.io/pix2pix/ 

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Real-Time User-Guided Image Colorization with Learned Deep Priors

May 08, 2017
Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros

* Accepted to SIGGRAPH 2017. Project page: https://richzhang.github.io/ideepcolor 

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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction

Apr 20, 2017
Richard Zhang, Phillip Isola, Alexei A. Efros

* Accepted to CVPR 2017 

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Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Mar 06, 2017
Ashvin Nair, Dian Chen, Pulkit Agrawal, Phillip Isola, Pieter Abbeel, Jitendra Malik, Sergey Levine

* 8 pages, accepted to International Conference on Robotics and Automation (ICRA) 2017 

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Colorful Image Colorization

Oct 05, 2016
Richard Zhang, Phillip Isola, Alexei A. Efros


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Visually Indicated Sounds

Apr 30, 2016
Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman


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Learning visual groups from co-occurrences in space and time

Nov 21, 2015
Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson


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Sparkle Vision: Seeing the World through Random Specular Microfacets

Dec 26, 2014
Zhengdong Zhang, Phillip Isola, Edward H. Adelson


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