Phillip Isola
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
63
Venues
13
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
63 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | GECCO | Digital Red Queen: Adversarial Program Evolution in Core War with LLMs. | Akarsh Kumar, Ryan Bahlous-Boldi, Prafull Sharma, Phillip Isola, Sebastian Risi, Yujin Tang, David Ha |
| 2025 | CVPR | What Makes for a Good Stereoscopic Image? | Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber |
| 2025 | ICCV | Cycle Consistency as Reward: Learning Image-Text Alignment Without Human Preferences. | Hyojin Bahng, Caroline Chan, Frdo Durand, Phillip Isola |
| 2025 | ICLR | Adaptive Length Image Tokenization via Recurrent Allocation. | Shivam Duggal, Phillip Isola, Antonio Torralba, William T. Freeman |
| 2025 | ICLR | Personalized Representation from Personalized Generation. | Shobhita Sundaram, Julia Chae, Yonglong Tian, Sara Beery, Phillip Isola |
| 2025 | ICML | Separating Knowledge and Perception with Procedural Data. | Adrin Rodrguez-Muoz, Manel Baradad, Phillip Isola, Antonio Torralba |
| 2025 | IROS | Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups. | Nicholas Pfaff, Evelyn Fu, Jeremy Binagia, Phillip Isola, Russ Tedrake |
| 2024 | CoRL | Learning Visual Parkour from Generated Images. | Alan Yu, Ge Yang, Ran Choi, Yajvan Ravan, John J. Leonard, Phillip Isola |
| 2024 | CVPR | Scaling Laws of Synthetic Images for Model Training ... for Now. | Lijie Fan, Kaifeng Chen, Dilip Krishnan, Dina Katabi, Phillip Isola, Yonglong Tian |
| 2024 | CVPR | A Vision Check-up for Language Models. | Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrin Rodruez-Muoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu |
| 2024 | CVPR | Learning Vision from Models Rivals Learning Vision from Data. | Yonglong Tian, Lijie Fan, Kaifeng Chen, Dina Katabi, Dilip Krishnan, Phillip Isola |
| 2024 | ICML | Position: The Platonic Representation Hypothesis. | Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola |
| 2024 | NAACL | LangNav: Language as a Perceptual Representation for Navigation. | Bowen Pan, Rameswar Panda, SouYoung Jin, Rogrio Feris, Aude Oliva, Phillip Isola, Yoon Kim |
| 2023 | CoRL | Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation. | William Shen, Ge Yang, Alan Yu, Jansen Wong, Leslie Pack Kaelbling, Phillip Isola |
| 2023 | CVPR | Persistent Nature: A Generative Model of Unbounded 3D Worlds. | Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, Noah Snavely |
| 2023 | ICLR | Powderworld: A Platform for Understanding Generalization via Rich Task Distributions. | Kevin Frans, Phillip Isola |
| 2023 | ICLR | Is CLIP Fooled by Optical Illusions? | Jerry Ngo, Swami Sankaranarayanan, Phillip Isola |
| 2023 | ICML | Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning. | Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang |
| 2023 | ICML | Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks. | Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola |
| 2022 | CoRL | 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 |
| 2022 | CVPR | Learning to generate line drawings that convey geometry and semantics. | Caroline Chan, Frdo Durand, Phillip Isola |
| 2022 | ECCV | Any-Resolution Training for High-Resolution Image Synthesis. | Lucy Chai, Michal Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2022 | ECCV | Totems: Physical Objects for Verifying Visual Integrity. | Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba |
| 2022 | ICLR | On the Learning and Learnability of Quasimetrics. | Tongzhou Wang, Phillip Isola |
| 2022 | ICLR | Generative Models as a Data Source for Multiview Representation Learning. | Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola |
| 2022 | ICML | Denoised MDPs: Learning World Models Better Than the World Itself. | Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian |
| 2022 | ICRA | 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 |
| 2022 | IROS | Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. | Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum |
| 2021 | CVPR | Ensembling With Deep Generative Views. | Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2021 | ICCV | Curious Representation Learning for Embodied Intelligence. | Yilun Du, Chuang Gan, Phillip Isola |
| 2021 | ICCV | 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 |
| 2021 | ICLR | Using latent space regression to analyze and leverage compositionality in GANs. | Lucy Chai, Jonas Wulff, Phillip Isola |
| 2021 | IROS | OPEn: An Open-ended Physics Environment for Learning Without a Task. | Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola |
| 2021 | IROS | iNeRF: Inverting Neural Radiance Fields for Pose Estimation. | Yen-Chen Lin, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin |
| 2020 | ECCV | What Makes Fake Images Detectable? Understanding Properties that Generalize. | Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola |
| 2020 | ECCV | Contrastive Multiview Coding. | Yonglong Tian, Dilip Krishnan, Phillip Isola |
| 2020 | ECCV | Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? | Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola |
| 2020 | ICLR | On the "steerability" of generative adversarial networks. | Ali Jahanian, Lucy Chai, Phillip Isola |
| 2020 | ICLR | Contrastive Representation Distillation. | Yonglong Tian, Dilip Krishnan, Phillip Isola |
| 2020 | ICML | Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere. | Tongzhou Wang, Phillip Isola |
| 2020 | ICRA | Learning to See before Learning to Act: Visual Pre-training for Manipulation. | Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin |
| 2019 | CoRL | Experience-Embedded Visual Foresight. | Yen-Chen Lin, Maria Bauz, Phillip Isola |
| 2019 | ICCV | GANalyze: Toward Visual Definitions of Cognitive Image Properties. | Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola |
| 2019 | ICCV | InGAN: Capturing and Retargeting the "DNA" of a Natural Image. | Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani |
| 2019 | IROS | Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. | Maria Bauz, Ferran Alet, Yen-Chen Lin, Toms Lozano-Prez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez |
| 2018 | CVPR | The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. | Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang |
| 2018 | ICML | CyCADA: Cycle-Consistent Adversarial Domain Adaptation. | Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell |
| 2017 | CHI | Mining Visual Evolution in 21 Years of Web Design. | Ali Jahanian, Phillip Isola, Donglai Wei |
| 2017 | CVPR | Image-to-Image Translation with Conditional Adversarial Networks. | Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros |
| 2017 | CVPR | Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. | Richard Zhang, Phillip Isola, Alexei A. Efros |
| 2017 | ICCV | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks. | Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros |
| 2017 | ICRA | 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 |
| 2016 | CVPR | Visually Indicated Sounds. | Andrew Owens, Phillip Isola, Josh H. McDermott, Antonio Torralba, Edward H. Adelson, William T. Freeman |
| 2016 | ECCV | Colorful Image Colorization. | Richard Zhang, Phillip Isola, Alexei A. Efros |
| 2015 | CVPR | Discovering states and transformations in image collections. | Phillip Isola, Joseph J. Lim, Edward H. Adelson |
| 2015 | CVPR | SparkleVision: Seeing the world through random specular microfacets. | Zhengdong Zhang, Phillip Isola, Edward H. Adelson |
| 2015 | ICCV | Learning Ordinal Relationships for Mid-Level Vision. | Daniel Zoran, Phillip Isola, Dilip Krishnan, William T. Freeman |
| 2014 | ECCV | Crisp Boundary Detection Using Pointwise Mutual Information. | Phillip Isola, Daniel Zoran, Dilip Krishnan, Edward H. Adelson |
| 2013 | ICCV | Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers. | Phillip Isola, Ce Liu |
| 2012 | CogSci | Establishing a Database for Studying Human Face Photograph Memory. | Wilma A. Bainbridge, Phillip Isola, Idan A. Blank, Aude Oliva |
| 2012 | ECCV | Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation. | Forrester Cole, Phillip Isola, William T. Freeman, Frdo Durand, Edward H. Adelson |
| 2012 | SiggraphA | Image memorability and visual inception. | Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva |
| 2011 | CVPR | What makes an image memorable? | Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva |