Phillip Isola

According to our database, Phillip Isola authored at least 98 papers between 2011 and 2024.

Collaborative distances:

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

2024

Training Neural Networks from Scratch with Parallel Low-Rank Adapters.

Minyoung Huh, Brian Cheung, Jeremy Bernstein, Phillip Isola, Pulkit Agrawal

CoRR, 2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CoRR, 2024

2023

The Low-Rank Simplicity Bias in Deep Networks.

Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola

Trans. Mach. Learn. Res., 2023

Learning Vision from Models Rivals Learning Vision from Data.

Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola

CoRR, 2023

Scaling Laws of Synthetic Images for Model Training ... for Now.

Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian

CoRR, 2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.

Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

CoRR, 2023

LangNav: Language as a Perceptual Representation for Navigation.

Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim

CoRR, 2023

MultiEarth 2023 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Gregory Angelides, Mark Hamilton, Andy Soszynski, Brandon Swenson, Nathaniel Maidel, Phillip Isola, Taylor Perron, Bill Freeman

CoRR, 2023

Steerable Equivariant Representation Learning.

Sangnie Bhardwaj, Willie McClinton, Tongzhou Wang, Guillaume Lajoie, Chen Sun, Phillip Isola, Dilip Krishnan

CoRR, 2023

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners.

Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning.

Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data.

Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving CLIP Training with Language Rewrites.

Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks.

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola

Proceedings of the International Conference on Machine Learning, 2023

Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning.

Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang

Proceedings of the International Conference on Machine Learning, 2023

Is CLIP Fooled by Optical Illusions?

Jerry Ngo, Swami Sankaranarayanan, Phillip Isola

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Powderworld: A Platform for Understanding Generalization via Rich Task Distributions.

Kevin Frans, Phillip Isola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Persistent Nature: A Generative Model of Unbounded 3D Worlds.

Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation.

William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola

Proceedings of the Conference on Robot Learning, 2023

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO.

Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings.

Tongzhou Wang, Phillip Isola

CoRR, 2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner

CoRR, 2022

On the Learning and Learnablity of Quasimetrics.

Tongzhou Wang, Phillip Isola

CoRR, 2022

MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge.

Miriam Cha, Kuan Wei Huang, Morgan Schmidt, Gregory Angelides, Mark Hamilton, Sam Goldberg, Armando Cabrera, Phillip Isola, Taylor Perron, Bill Freeman, Yen-Chen Lin, Brandon Swenson, Jean E. Piou

CoRR, 2022

Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models.

Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, Phillip Isola

CoRR, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez Garcia, Phillip Isola

CoRR, 2022

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation.

Wei-Cheng Tseng, Tsun-Hsuan Johnson Wang, Yen-Chen Lin, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Semantic uncertainty intervals for disentangled latent spaces.

Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Procedural Image Programs for Representation Learning.

Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Noisy Agents: Self-supervised Exploration by Predicting Auditory Events.

Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Tsung-Yi Lin, Alberto Rodriguez, Phillip Isola

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Denoised MDPs: Learning World Models Better Than the World Itself.

Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian

Proceedings of the International Conference on Machine Learning, 2022

Generative Models as a Data Source for Multiview Representation Learning.

Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola

Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Learning and Learnability of Quasimetrics.

Tongzhou Wang, Phillip Isola

Proceedings of the Tenth International Conference on Learning Representations, 2022

Totems: Physical Objects for Verifying Visual Integrity.

Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2022, 2022

Any-Resolution Training for High-Resolution Image Synthesis.

Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to generate line drawings that convey geometry and semantics.

Caroline Chan, Frédo Durand, Phillip Isola

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MIRA: Mental Imagery for Robotic Affordances.

Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola

Proceedings of the Conference on Robot Learning, 2022

2021

Learning to Ground Multi-Agent Communication with Autoencoders.

Toru Lin, Minyoung Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola

CoRR, 2021

The Neural MMO Platform for Massively Multiagent Research.

Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade.

Enhong Liu, Joseph Suarez, Chenhui You, Bo Wu, Bingcheng Chen, Jun Hu, Jiaxin Chen, Xiaolong Zhu, Clare Zhu, Julian Togelius, Sharada Mohanty, Weijun Hong, Rui Du, Yibing Zhang, Qinwen Wang, Xinhang Li, Zheng Yuan, Xiang Li, Yuejia Huang, Kun Zhang, Hanhui Yang, Shiqi Tang, Phillip Isola

Proceedings of the NeurIPS 2022 Competition Track, 2021

Learning to Ground Multi-Agent Communication with Autoencoders.

Toru Lin, Jacob Huh, Christopher Stauffer, Ser-Nam Lim, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to See by Looking at Noise.

Manel Baradad Jurjo, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptable Agent Populations via a Generative Model of Policies.

Kenneth Derek, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

OPEn: An Open-ended Physics Environment for Learning Without a Task.

Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Using latent space regression to analyze and leverage compositionality in GANs.

Lucy Chai, Jonas Wulff, Phillip Isola

Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Feature Loss for Image Prediction.

Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Explaining in Style: Training a GAN to explain a classifier in StyleSpace.

Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Curious Representation Learning for Embodied Intelligence.

Yilun Du, Chuang Gan, Phillip Isola

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ensembling With Deep Generative Views.

Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

iNeRF: Inverting Neural Radiance Fields for Pose Estimation.

Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez Garcia, Phillip Isola, Tsung-Yi Lin

CoRR, 2020

What Makes for Good Views for Contrastive Learning?

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Supervised Contrastive Learning.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to See before Learning to Act: Visual Pre-training for Manipulation.

Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

Tongzhou Wang, Phillip Isola

Proceedings of the 37th International Conference on Machine Learning, 2020

Contrastive Representation Distillation.

Yonglong Tian, Dilip Krishnan, Phillip Isola

Proceedings of the 8th International Conference on Learning Representations, 2020

On the "steerability" of generative adversarial networks.

Ali Jahanian, Lucy Chai, Phillip Isola

Proceedings of the 8th International Conference on Learning Representations, 2020

Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Contrastive Multiview Coding.

Yonglong Tian, Dilip Krishnan, Phillip Isola

Proceedings of the Computer Vision - ECCV 2020, 2020

What Makes Fake Images Detectable? Understanding Properties that Generalize.

Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties.

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

CoRR, 2019

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

Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch

CoRR, 2019

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

Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

InGAN: Capturing and Retargeting the "DNA" of a Natural Image.

Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GANalyze: Toward Visual Definitions of Cognitive Image Properties.

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Experience-Embedded Visual Foresight.

Yen-Chen Lin, Maria Bauzá, Phillip Isola

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

3D Sketching using Multi-View Deep Volumetric Prediction.

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

Proc. ACM Comput. Graph. Interact. Tech., 2018

Internal Distribution Matching for Natural Image Retargeting.

Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani

CoRR, 2018

Evolved Policy Gradients.

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

CoRR, 2018

Evolved Policy Gradients.

Rein Houthooft, Yuhua Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CyCADA: Cycle-Consistent Adversarial Domain Adaptation.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Real-time user-guided image colorization with learned deep priors.

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

ACM Trans. Graph., 2017

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

CoRR, 2017

Combining self-supervised learning and imitation for vision-based rope manipulation.

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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks.

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Richard Zhang, Phillip Isola, Alexei A. Efros

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Image-to-Image Translation with Conditional Adversarial Networks.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Mining Visual Evolution in 21 Years of Web Design.

Ali Jahanian, Phillip Isola, Donglai Wei

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

2016

Colorful Image Colorization.

Richard Zhang, Phillip Isola, Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2016, 2016

Visually Indicated Sounds.

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning visual groups from co-occurrences in space and time.

Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

CoRR, 2015

Learning Ordinal Relationships for Mid-Level Vision.

Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

SparkleVision: Seeing the world through random specular microfacets.

Zhengdong Zhang, Phillip Isola, Edward H. Adelson

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

Discovering states and transformations in image collections.

Phillip Isola, Joseph J. Lim, Edward H. Adelson

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

2014

What Makes a Photograph Memorable?

Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Sparkle Vision: Seeing the World through Random Specular Microfacets.

Zhengdong Zhang, Phillip Isola, Edward H. Adelson

CoRR, 2014

Crisp Boundary Detection Using Pointwise Mutual Information.

Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

What Makes a Visualization Memorable?

Michelle Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister

IEEE Trans. Vis. Comput. Graph., 2013

Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers.

Phillip Isola, Ce Liu

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Image memorability and visual inception.

Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva

Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation.

Forrester Cole, Phillip Isola, William T. Freeman, Frédo Durand, Edward H. Adelson

Proceedings of the Computer Vision - ECCV 2012, 2012

Establishing a Database for Studying Human Face Photograph Memory.

Wilma A. Bainbridge, Phillip Isola, Idan Blank, Aude Oliva

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Understanding the Intrinsic Memorability of Images.

Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

What makes an image memorable?

Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011