Phillip J. Isola
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Phillip J. Isolaengineering Degrees
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Electrical Engineering
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Phillip J. Isolacomputer-science Degrees
Computer Science
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Machine Learning
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Engineering Computer Science
Phillip J. Isola's Degrees
- Bachelors Computer Science Stanford University
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Why Is Phillip J. Isola Influential?
(Suggest an Edit or Addition)Phillip J. Isola's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Image-to-Image Translation with Conditional Adversarial Networks (2016) (14216)
- The Unreasonable Effectiveness of Deep Features as a Perceptual Metric (2018) (4533)
- Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks (2017) (3415)
- Colorful Image Colorization (2016) (2882)
- CyCADA: Cycle-Consistent Adversarial Domain Adaptation (2017) (2243)
- Supervised Contrastive Learning (2020) (1810)
- Contrastive Multiview Coding (2019) (1488)
- Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere (2020) (789)
- What makes for good views for contrastive learning (2020) (733)
- Contrastive Representation Distillation (2019) (602)
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction (2016) (584)
- Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? (2020) (512)
- What Makes a Visualization Memorable? (2013) (467)
- Real-time user-guided image colorization with learned deep priors (2017) (451)
- What makes an image memorable? (2011) (384)
- On the "steerability" of generative adversarial networks (2019) (306)
- Visually Indicated Sounds (2015) (304)
- The intrinsic memorability of face photographs. (2013) (265)
- Combining self-supervised learning and imitation for vision-based rope manipulation (2017) (230)
- GANalyze: Toward Visual Definitions of Cognitive Image Properties (2019) (223)
- What Makes a Photograph Memorable? (2014) (214)
- Evolved Policy Gradients (2018) (184)
- Understanding the Intrinsic Memorability of Images (2011) (177)
- Crisp Boundary Detection Using Pointwise Mutual Information (2014) (173)
- iNeRF: Inverting Neural Radiance Fields for Pose Estimation (2020) (165)
- Intrinsic and extrinsic effects on image memorability (2015) (160)
- Discovering states and transformations in image collections (2015) (153)
- Learning Ordinal Relationships for Mid-Level Vision (2015) (146)
- Multidimensional visual statistical learning. (2008) (133)
- What makes fake images detectable? Understanding properties that generalize (2020) (121)
- Learning visual groups from co-occurrences in space and time (2015) (108)
- InGAN: Capturing and Retargeting the “DNA” of a Natural Image (2019) (98)
- 3D Sketching using Multi-View Deep Volumetric Prediction (2017) (93)
- Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity (2019) (76)
- Explaining in Style: Training a GAN to explain a classifier in StyleSpace (2021) (70)
- Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers (2013) (62)
- InGAN: Capturing and Remapping the "DNA" of a Natural Image (2018) (57)
- Learning to See before Learning to Act: Visual Pre-training for Manipulation (2020) (52)
- Exploring Visual Prompts for Adapting Large-Scale Models (2022) (45)
- Using latent space regression to analyze and leverage compositionality in GANs (2021) (45)
- NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields (2022) (40)
- Visual Prompting: Modifying Pixel Space to Adapt Pre-trained Models (2022) (40)
- Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents (2019) (39)
- Image memorability and visual inception (2012) (39)
- Ensembling with Deep Generative Views (2021) (38)
- The Low-Rank Simplicity Bias in Deep Networks (2021) (34)
- Generative Models as a Data Source for Multiview Representation Learning (2021) (34)
- Learning to See by Looking at Noise (2021) (30)
- Experience-Embedded Visual Foresight (2019) (27)
- Establishing a Database for Studying Human Face Photograph Memory (2012) (27)
- Curious Representation Learning for Embodied Intelligence (2021) (23)
- Any-resolution Training for High-resolution Image Synthesis (2022) (20)
- Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video (2019) (19)
- What Makes a Photograph Memorable? (2014) (18)
- Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation (2012) (18)
- Denoised MDPs: Learning World Models Better Than the World Itself (2022) (13)
- Learning to generate line drawings that convey geometry and semantics (2022) (12)
- Internal Distribution Matching for Natural Image Retargeting (2018) (11)
- Learning to Ground Multi-Agent Communication with Autoencoders (2021) (10)
- Contrastive Feature Loss for Image Prediction (2021) (9)
- SparkleVision: Seeing the world through random specular microfacets (2014) (9)
- Mining Visual Evolution in 21 Years of Web Design (2017) (8)
- The Neural MMO Platform for Massively Multiagent Research (2021) (8)
- Adaptable Agent Populations via a Generative Model of Policies (2021) (6)
- What makes for good views for contrastive representation learning (2020) (5)
- What makes a picture memorable (2013) (5)
- Memorable words are monogamous: The role of synonymy and homonymy in word recognition memory (2018) (4)
- Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks (2020) (4)
- MultiEarth 2022 - Multimodal Learning for Earth and Environment Workshop and Challenge (2022) (3)
- Semantic uncertainty intervals for disentangled latent spaces (2022) (3)
- On the Learning and Learnablity of Quasimetrics (2022) (2)
- On the Learning and Learnability of Quasimetrics (2022) (2)
- Noisy Agents: Self-supervised Exploration by Predicting Auditory Events (2020) (2)
- Applications of ARTIST for Advanced Telematics Services (2007) (2)
- OPEn: An Open-ended Physics Environment for Learning Without a Task (2021) (2)
- Developing a Series of AI Challenges for the United States Department of the Air Force* (2022) (2)
- Offline Multi-Agent Reinforcement Learning with Knowledge Distillation (2022) (1)
- Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings (2022) (1)
- Neural MMO: A massively multiplayer game environment for intelligent agents (2018) (1)
- Multidimensional visual statistical learning (2007) (1)
- Totems: Physical Objects for Verifying Visual Integrity (2022) (1)
- Steerable Equivariant Representation Learning (2023) (1)
- The Discovery of perceptual structure from visual co-occurrences in space and time (2015) (1)
- Intrinsic and Extrinsic Effects on Image Memorability Supplemental Material (2015) (1)
- Regularization Methods for Multi-output Learning (2010) (0)
- Supplementary Material: Contrastive Multiview Coding (2020) (0)
- Ensembling with Deep Generative Views Supplementary Material (2021) (0)
- Quantifying Context Effects on Image Memorability. (2015) (0)
- Understanding Contrastive Representation Learning through Geometry on the Hypersphere (2020) (0)
- The units of visual statistical learning: Features or objects? (2010) (0)
- A New Approach to Defining 3 D Models with 2 D Sketches Interim Report (2007) (0)
- SparkleVision : Seeing the world through random specular (2014) (0)
- Seeing in Shadeworld (2014) (0)
- L EARNING VISUAL GROUPS FROM CO-OCCURRENCES IN SPACE AND TIME (2016) (0)
- Appendix: Curious Representation Learning for Embodied Intelligence (2021) (0)
- Contrastive Feature Loss for Image Prediction Supplemental Materials (2021) (0)
- Estimating material by estimating shape (2012) (0)
- Persistent Nature: A Generative Model of Unbounded 3D Worlds (2023) (0)
- Learning Good Policies By Learning Good Perceptual Models (2019) (0)
- Powderworld: A Platform for Understanding Generalization via Rich Task Distributions (2022) (0)
- A Bayesian Generative Approach to Shape from Shading (2010) (0)
- MIRA: Mental Imagery for Robotic Affordances (2022) (0)
- A unified approach to estimating shape from images (2012) (0)
- Modeling Context Effects on Image Memorability (2015) (0)
- Colorful Image Colorizations Supplementary Material (2016) (0)
- Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning (2023) (0)
- Real world relevance of generative counterfactual explanations (2022) (0)
- Experiment 1 : The Face Memory Game — Do People Find the Same Faces Memorable or Forgettable ? (2013) (0)
- Image memorability differences are stable over time delay (2012) (0)
- Procedural Image Programs for Representation Learning (2022) (0)
- Data Augmentation by Image-to-Image Translation for Image Retrieval (2020) (0)
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What Schools Are Affiliated With Phillip J. Isola?
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