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What Makes for a Good Stereoscopic Image?
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2024
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Netanel Y. Tamir
Shir Amir
Ranel Itzhaky
Noam Atia
Shobhita Sundaram
Stephanie Fu
Ron Sokolovsky
Phillip Isola
Tali Dekel
Richard Zhang
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Automating the Search for Artificial Life with Foundation Models
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2024
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Akarsh Kumar
Chris Xiaoxuan Lu
Louis Kirsch
Yujin Tang
Kenneth O. Stanley
Phillip Isola
David Ha
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Personalized Representation from Personalized Generation
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2024
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Shobhita Sundaram
Julia Chae
Yonglong Tian
Sara Beery
Phillip Isola
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Adaptive Length Image Tokenization via Recurrent Allocation
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2024
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Shivam Duggal
Phillip Isola
Antonio Torralba
William T. Freeman
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Learning Visual Parkour from Generated Images
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2024
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Alan C. L. Yu
Ge Yang
Ran Choi
Yajvan Ravan
John Leonard
Phillip Isola
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When Does Perceptual Alignment Benefit Vision Representations?
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2024
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Shobhita Sundaram
Stephanie Fu
Lukas Muttenthaler
Netanel Y. Tamir
Lucy Chai
Simon Kornblith
Trevor Darrell
Phillip Isola
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Scalable Optimization in the Modular Norm
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2024
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Tim Large
Yang Liu
Minyoung Huh
Hyojin Bahng
Phillip Isola
Jeremy Bernstein
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The Platonic Representation Hypothesis
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2024
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Minyoung Huh
Brian Cheung
Tongzhou Wang
Phillip Isola
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Training Neural Networks from Scratch with Parallel Low-Rank Adapters
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2024
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Minyoung Huh
Brian Cheung
Jeremy Bernstein
Phillip Isola
Pulkit Agrawal
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A Vision Check-up for Language Models
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2024
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Pratyusha Sharma
Tamar Rott Shaham
Manel Baradad
Stephanie Fu
Adrián Rodríguez-Muñoz
Shivam Duggal
Phillip Isola
Antonio Torralba
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LangNav: Language as a Perceptual Representation for Navigation
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2024
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Bowen Pan
Rameswar Panda
SouYoung Jin
Rogério Feris
Aude Oliva
Phillip Isola
Yoon Kim
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Persistent Nature: A Generative Model of Unbounded 3D Worlds
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2023
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Lucy Chai
Richard P. Tucker
Zhengqi Li
Phillip Isola
Noah Snavely
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Steerable Equivariant Representation Learning
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2023
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Sangnie Bhardwaj
Willie McClinton
Tongzhou Wang
Guillaume Lajoie
Chen Sun
Phillip Isola
Dilip Krishnan
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Persistent Nature: A Generative Model of Unbounded 3D Worlds
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2023
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Lucy Chai
Richard P. Tucker
Zhengqi Li
Phillip Isola
Noah Snavely
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Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
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2023
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Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
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Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
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2023
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Minyoung Huh
Brian Cheung
Pulkit Agrawal
Phillip Isola
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Improving CLIP Training with Language Rewrites
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2023
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Lijie Fan
Dilip Krishnan
Phillip Isola
Dina Katabi
Yonglong Tian
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StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners
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2023
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Yonglong Tian
Lijie Fan
Phillip Isola
Huiwen Chang
Dilip Krishnan
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MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge
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2023
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Miriam Cha
Gregory Angelides
Mark Hamilton
Andy Soszynski
Brandon Swenson
Nathaniel Maidel
Phillip Isola
T. Perron
Bill Freeman
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DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
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2023
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Stephanie Fu
Netanel Y. Tamir
Shobhita Sundaram
Lucy Chai
Richard Zhang
Tali Dekel
Phillip Isola
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Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
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2023
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William Shen
Ge Yang
Alan C. L. Yu
Jansen Wong
Leslie Pack Kaelbling
Phillip Isola
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Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
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2023
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Yangkun Chen
Joseph Suárez
Junjie Zhang
Chenghui Yu
Bo Wu
Hanmo Chen
Hengman Zhu
Rui Du
Shanliang Qian
Shuai Liu
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LangNav: Language as a Perceptual Representation for Navigation
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2023
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Bowen Pan
Rameswar Panda
SouYoung Jin
Rogério Feris
Aude Oliva
Phillip Isola
Yoon Kim
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Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
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2023
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Joseph Suárez
Phillip Isola
Kyoung Whan Choe
David Bloomin
Hao Xiang Li
Nikhil Pinnaparaju
N. V. Yuvraj Kanna
Daniel J. Scott
Ryan Sullivan
Rose S. Shuman
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The NeurIPS 2022 Neural MMO Challenge: A Massively Multiagent Competition with Specialization and Trade
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2023
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Enhong Liu
Joseph Suárez
Chenhui You
Bo Wu
Bingcheng Chen
Jun Hu
Jiaxin Chen
Xiaolong Zhu
Clare Zhu
Julian Togelius
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Scaling Laws of Synthetic Images for Model Training ... for Now
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2023
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Lijie Fan
Kaifeng Chen
Dilip Krishnan
Dina Katabi
Phillip Isola
Yonglong Tian
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Learning Vision from Models Rivals Learning Vision from Data
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2023
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Yonglong Tian
Lijie Fan
Kaifeng Chen
Dina Katabi
Dilip Krishnan
Phillip Isola
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Noisy Agents: Self-supervised Exploration by Predicting Auditory Events
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2022
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Chuang Gan
Xiaoyu Chen
Phillip Isola
Antonio Torralba
Joshua B. Tenenbaum
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Developing a Series of AI Challenges for the United States Department of the Air Force
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2022
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Vijay Gadepally
Gregory Angelides
Andrei Barbu
Andrew Bowne
Laura J. Brattain
Tamara Broderick
Armando Cabrera
Glenn Carl
Ronisha Carter
Miriam Cha
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Learning to generate line drawings that convey geometry and semantics
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2022
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Caroline Chan
Frédo Durand
Phillip Isola
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NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields
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2022
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Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Tsung-Yi Lin
Alberto Rodríguez
Phillip Isola
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Learning to generate line drawings that convey geometry and semantics
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2022
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Caroline Chan
Frédo Durand
Phillip Isola
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Any-resolution Training for High-resolution Image Synthesis
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2022
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Lucy Chai
Michaël Gharbi
Eli Shechtman
Phillip Isola
Richard Zhang
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MultiEarth 2022 -- Multimodal Learning for Earth and Environment Workshop and Challenge
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2022
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Miriam Cha
Kuan Wei Huang
Morgan S. Schmidt
Gregory Angelides
Mark F. Hamilton
Sam Goldberg
Armando Cabrera
Phillip Isola
T. Perron
Bill Freeman
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Exploring Visual Prompts for Adapting Large-Scale Models
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2022
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Hyojin Bahng
Ali Jahanian
Swami Sankaranarayanan
Phillip Isola
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Denoised MDPs: Learning World Models Better Than the World Itself
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2022
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Tongzhou Wang
Simon S. Du
Antonio Torralba
Phillip Isola
Amy Zhang
Yuandong Tian
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On the Learning and Learnability of Quasimetrics
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2022
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Tongzhou Wang
Phillip Isola
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Developing a Series of AI Challenges for the United States Department of the Air Force
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2022
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Vijay Gadepally
Gregory Angelides
Andrei Barbu
Andrew Bowne
Laura J. Brattain
Tamara Broderick
Armando Cabrera
Glenn Carl
Ronisha Carter
Miriam Cha
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Semantic uncertainty intervals for disentangled latent spaces
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2022
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Swami Sankaranarayanan
Anastasios N. Angelopoulos
Stephen Bates
Yaniv Romano
Phillip Isola
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Totems: Physical Objects for Verifying Visual Integrity
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2022
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Jingwei Ma
Lucy Chai
Minyoung Huh
Tongzhou Wang
Ser-Nam Lim
Phillip Isola
Antonio Torralba
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NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields
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2022
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Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Tsung-Yi Lin
Alberto Rodríguez
Phillip Isola
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Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
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2022
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Kevin Frans
Phillip Isola
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Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
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2022
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Tongzhou Wang
Phillip Isola
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Procedural Image Programs for Representation Learning
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2022
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M. Baradad
Chun-Fu Chen
Jonas Wulff
Tongzhou Wang
Rogério Feris
Antonio Torralba
Phillip Isola
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MIRA: Mental Imagery for Robotic Affordances
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2022
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Yen-Chen Lin
Pete Florence
Andy Zeng
Jonathan T. Barron
Yilun Du
Wei-Chiu Ma
Anthony Simeonov
Alberto Rodriguez Garcia
Phillip Isola
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Any-Resolution Training for High-Resolution Image Synthesis
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2022
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Lucy Chai
Michaël Gharbi
Eli Shechtman
Phillip Isola
Richard Zhang
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PDF
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Totems: Physical Objects for Verifying Visual Integrity
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2022
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Jingwei Ma
Lucy Chai
Minyoung Huh
Tongzhou Wang
Ser-Nam Lim
Phillip Isola
Antonio Torralba
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Learning to See by Looking at Noise
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2021
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Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
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PDF
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Contrastive Feature Loss for Image Prediction
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2021
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Alex Andonian
Taesung Park
Bryan Russell
Phillip Isola
Jun-Yan Zhu
Richard Zhang
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Learning to Ground Multi-Agent Communication with Autoencoders
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2021
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Toru Lin
Minyoung Huh
Chris Stauffer
Ser-Nam Lim
Phillip Isola
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PDF
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Curious Representation Learning for Embodied Intelligence
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2021
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Yilun Du
Chuang Gan
Phillip Isola
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PDF
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Explaining in Style: Training a GAN to explain a classifier in StyleSpace
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2021
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Oran Lang
Yossi Gandelsman
Michal Yarom
Yoav Wald
Gal Elidan
Avinatan Hassidim
William T. Freeman
Phillip Isola
Amir Globerson
Michal Irani
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Contrastive Feature Loss for Image Prediction
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2021
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Alex Andonian
Taesung Park
Bryan Russell
Phillip Isola
Jun-Yan Zhu
Richard Zhang
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PDF
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iNeRF: Inverting Neural Radiance Fields for Pose Estimation
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2021
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Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Alberto Rodríguez
Phillip Isola
Tsung-Yi Lin
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PDF
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OPEn: An Open-ended Physics Environment for Learning Without a Task
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2021
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Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
Joshua B. Tenenbaum
Phillip Isola
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Adaptable Agent Populations via a Generative Model of Policies
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2021
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Kenneth Derek
Phillip Isola
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Learning to See by Looking at Noise
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2021
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Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
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Generative Models as a Data Source for Multiview Representation Learning
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2021
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Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
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PDF
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Ensembling with Deep Generative Views
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2021
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Lucy Chai
Jun-Yan Zhu
Eli Shechtman
Phillip Isola
Richard Zhang
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Curious Representation Learning for Embodied Intelligence
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2021
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Yilun Du
Chuang Gan
Phillip Isola
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PDF
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Explaining in Style: Training a GAN to explain a classifier in
StyleSpace
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2021
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Oran Lang
Yossi Gandelsman
Michal Yarom
Yoav Wald
Gal Elidan
Avinatan Hassidim
William T. Freeman
Phillip Isola
Amir Globerson
Michal Irani
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The Low-Rank Simplicity Bias in Deep Networks
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2021
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Minyoung Huh
Hossein Mobahi
Richard Zhang
Brian Cheung
Pulkit Agrawal
Phillip Isola
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Using latent space regression to analyze and leverage compositionality in GANs
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2021
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Lucy Chai
Jonas Wulff
Phillip Isola
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Ensembling with Deep Generative Views
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2021
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Lucy Chai
Jun-Yan Zhu
Eli Shechtman
Phillip Isola
Richard Zhang
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Explaining in Style: Training a GAN to explain a classifier in StyleSpace
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2021
|
Oran Lang
Yossi Gandelsman
Michal Yarom
Yoav Wald
Gal Elidan
Avinatan Hassidim
William T. Freeman
Phillip Isola
Amir Globerson
Michal Irani
|
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Learning to See before Learning to Act: Visual Pre-training for Manipulation
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2021
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Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Tsung-Yi Lin
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Adaptable Agent Populations via a Generative Model of Policies
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2021
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Kenneth Derek
Phillip Isola
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Curious Representation Learning for Embodied Intelligence
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2021
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Yilun Du
Chuang Gan
Phillip Isola
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The Neural MMO Platform for Massively Multiagent Research
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2021
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Joseph Suárez
Yilun Du
Clare Zhu
Igor Mordatch
Phillip Isola
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Learning to Ground Multi-Agent Communication with Autoencoders
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2021
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Toru Lin
Minyoung Huh
Chris Stauffer
Ser-Nam Lim
Phillip Isola
|
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Contrastive Feature Loss for Image Prediction
|
2021
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Alex Andonian
Taesung Park
Bryan Russell
Phillip Isola
Jun-Yan Zhu
Richard Zhang
|
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+
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Learning to See by Looking at Noise
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2021
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M. Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
|
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+
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Generative Models as a Data Source for Multiview Representation Learning
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2021
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Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
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The Low-Rank Simplicity Bias in Deep Networks
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2021
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Minyoung Huh
Hossein Mobahi
Richard Zhang
Brian Cheung
Pulkit Agrawal
Phillip Isola
|
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OPEn: An Open-ended Physics Environment for Learning Without a Task
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2021
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Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
Joshua B. Tenenbaum
Phillip Isola
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GANalyze: Toward visual definitions of cognitive image properties
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2020
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Lore Goetschalckx
Alex Andonian
Aude Oliva
Phillip Isola
|
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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
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2020
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Tongzhou Wang
Phillip Isola
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What Makes for Good Views for Contrastive Learning
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2020
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Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
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PDF
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Learning to See before Learning to Act: Visual Pre-training for Manipulation
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2020
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Yen-Chen Lin
Andy Zeng
Shuran Song
Phillip Isola
Tsung-Yi Lin
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On the "steerability" of generative adversarial networks
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2020
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Ali Jahanian
Lucy Chai
Phillip Isola
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Supervised Contrastive Learning.
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2020
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Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
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Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks
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2020
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Joseph Suárez
Yilun Du
Igor Mordatch
Phillip Isola
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Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
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2020
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Yonglong Tian
Yue Wang
Dilip Krishnan
Joshua B. Tenenbaum
Phillip Isola
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What Makes for Good Views for Contrastive Learning?
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2020
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Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
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What makes fake images detectable? Understanding properties that generalize
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2020
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Lucy Chai
David Bau
Ser-Nam Lim
Phillip Isola
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PDF
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What Makes Fake Images Detectable? Understanding Properties that Generalize
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2020
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Lucy Chai
David Bau
Ser-Nam Lim
Phillip Isola
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PDF
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Contrastive Multiview Coding
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2020
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Yonglong Tian
Dilip Krishnan
Phillip Isola
|
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+
PDF
Chat
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Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?
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2020
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Yonglong Tian
Yue Wang
Dilip Krishnan
Joshua B. Tenenbaum
Phillip Isola
|
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+
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Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
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2020
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Tongzhou Wang
Phillip Isola
|
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Supervised Contrastive Learning
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2020
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Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
|
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INeRF: Inverting Neural Radiance Fields for Pose Estimation
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2020
|
Yen-Chen Lin
Pete Florence
Jonathan T. Barron
Alberto Rodríguez
Phillip Isola
Tsung-Yi Lin
|
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+
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Experience-Embedded Visual Foresight
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2019
|
Yen-Chen Lin
Maria Bauzá
Phillip Isola
|
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PDF
Chat
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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
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2019
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Maria Bauzá
Ferran Alet
Yen-Chen Lin
Tomás Lozano‐Pérez
Leslie Pack Kaelbling
Phillip Isola
Alberto Rodríguez
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Contrastive Representation Distillation
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2019
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Yonglong Tian
Dilip Krishnan
Phillip Isola
|
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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
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2019
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Maria Bauzá
Ferran Alet
Yen-Chen Lin
Tomás Lozano‐Pérez
Leslie Pack Kaelbling
Phillip Isola
Alberto Rodríguez
|
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+
PDF
Chat
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GANalyze: Toward Visual Definitions of Cognitive Image Properties
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2019
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Lore Goetschalckx
Alex Andonian
Aude Oliva
Phillip Isola
|
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On the "steerability" of generative adversarial networks.
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2019
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Ali Jahanian
Lucy Chai
Phillip Isola
|
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Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
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2019
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Deepak Pathak
Chris Xiaoxuan Lu
Trevor Darrell
Phillip Isola
Alexei A. Efros
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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
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2019
|
Joseph Suárez
Yilun Du
Phillip Isola
Igor Mordatch
|
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Contrastive Multiview Coding
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2019
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Yonglong Tian
Dilip Krishnan
Phillip Isola
|
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+
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Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties.
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2019
|
Lore Goetschalckx
Alex Andonian
Aude Oliva
Phillip Isola
|
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+
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Contrastive Representation Distillation
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2019
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Yonglong Tian
Dilip Krishnan
Phillip Isola
|
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+
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Experience-Embedded Visual Foresight
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2019
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Yen-Chen Lin
Maria Bauzá
Phillip Isola
|
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+
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Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video
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2019
|
Maria Bauzá
Ferran Alet
Yen-Chen Lin
Tomás Lozano‐Pérez
Leslie Pack Kaelbling
Phillip Isola
Alberto Rodríguez
|
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+
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GANalyze: Toward Visual Definitions of Cognitive Image Properties
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2019
|
Lore Goetschalckx
Alex Andonian
Aude Oliva
Phillip Isola
|
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+
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On the "steerability" of generative adversarial networks
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2019
|
Ali Jahanian
Lucy Chai
Phillip Isola
|
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+
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Internal Distribution Matching for Natural Image Retargeting.
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2018
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Assaf Shocher
Shai Bagon
Phillip Isola
Michal Irani
|
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+
PDF
Chat
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3D Sketching using Multi-View Deep Volumetric Prediction
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2018
|
Johanna Delanoy
Mathieu Aubry
Phillip Isola
Alexei A. Efros
Adrien Bousseau
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+
PDF
Chat
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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2018
|
Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
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Evolved Policy Gradients
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2018
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Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
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Intrinsically memorable words have unique associations with their meanings
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2018
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Greta Tuckute
Kyle Mahowald
Phillip Isola
Aude Oliva
Edward Gibson
Evelina Fedorenko
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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2018
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Richard Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
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Evolved Policy Gradients
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2018
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Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
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InGAN: Capturing and Remapping the "DNA" of a Natural Image
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2018
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Assaf Shocher
Shai Bagon
Phillip Isola
Michal Irani
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
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2017
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Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
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Real-time user-guided image colorization with learned deep priors
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2017
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Richard Zhang
Jun-Yan Zhu
Phillip Isola
Xinyang Geng
Angela S. Lin
Tianhe Yu
Alexei A. Efros
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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
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2017
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Richard Zhang
Phillip Isola
Alexei A. Efros
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Image-to-Image Translation with Conditional Adversarial Networks
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2017
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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Combining self-supervised learning and imitation for vision-based rope manipulation
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2017
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Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
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Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
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2017
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Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
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2017
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Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
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Real-Time User-Guided Image Colorization with Learned Deep Priors
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2017
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Richard Zhang
Jun-Yan Zhu
Phillip Isola
Xinyang Geng
Angela S. Lin
Tianhe Yu
Alexei A. Efros
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
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2017
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Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
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Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation
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2017
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Ashvin Nair
Dian Chen
Pulkit Agrawal
Phillip Isola
Pieter Abbeel
Jitendra Malik
Sergey Levine
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Image-to-Image Translation with Conditional Adversarial Networks
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2016
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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Visually Indicated Sounds
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2016
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Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
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Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
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2016
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Richard Zhang
Phillip Isola
Alexei A. Efros
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Colorful Image Colorization
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2016
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Richard Zhang
Phillip Isola
Alexei A. Efros
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Image-to-Image Translation with Conditional Adversarial Networks
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2016
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Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
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Learning visual groups from co-occurrences in space and time
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2015
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Phillip Isola
Daniel Zoran
Dilip Krishnan
Edward H. Adelson
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SparkleVision: Seeing the world through random specular microfacets
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2015
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Zhengdong Zhang
Phillip Isola
Edward H. Adelson
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Learning visual groups from co-occurrences in space and time
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2015
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Phillip Isola
Daniel Zoran
Dilip Krishnan
Edward H. Adelson
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Visually Indicated Sounds
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2015
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Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
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Sparkle Vision: Seeing the World through Random Specular Microfacets
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2014
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Zhengdong Zhang
Phillip Isola
Edward H. Adelson
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The units of visual statistical learning: Features or objects?
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2010
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Phillip Isola
Nicholas B. Turk‐Browne
B. J. Scholl
Teresa A. Treat
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