Phillip Isola - Concepedia

Author

Phillip Isola

Massachusetts Institute of Technology

Also Known As

Isola, Phillip, Isola, Phillip John, P. Isola, P. J. Isola, Phillip Isola, Phillip J. Isola

176

Publications

53.2K

Citations

H-Index

117

Concepts

All Affiliations

Massachusetts Institute of Technology Google (United States)Moscow Institute of Thermal Technology University of California, Berkeley Berkeley College

About

Phillip Isola is an author at Massachusetts Institute of Technology specializing in engineering, machine learning, and image analysis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	39	57	45.3K
2	Education	2	2	710
3	Language Studies	2	2	51
4	Arts	1	1	48
5	Health Sciences	1	1	51

Phillip Isola

Publications

46K

Citations

H-Index

Page 1

	Year	Citations
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, EngineeringMachine LearningImage-to-image TranslationStyle TransferImage Analysis	2017	21.3K
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationVgg Network	2018	11.5K
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu, Taesung Park, Phillip Isola, arXiv (Cornell University) EngineeringMachine LearningImage-to-image TranslationStyle TransferImage Analysis	2017	2.3K
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Artificial IntelligenceImage AnalysisMachine VisionMachine LearningData Science	2017	1.6K
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Zhang, Phillip Isola, Alexei A. Efros, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationVgg Network	2018	806
What Makes a Visualization Memorable? Michelle A. Borkin, Azalea A. Vo, Zoya Bylinskii, IEEE Transactions on Visualization and Computer Graphics Interactive VisualizationCognitive ScienceEngineeringData ScienceVisualization Type	2013	665
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Zhang, Phillip Isola, Alexei A. Efros Traditional Autoencoder ArchitectureConvolutional Neural NetworkEngineeringMachine LearningData Science	2017	650
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman, Eric Tzeng, Taesung Park, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningImage AnalysisUnseen Environments	2017	630
Contrastive Multiview Coding Yonglong Tian, Dilip Krishnan, Phillip Isola arXiv (Cornell University) EngineeringMachine LearningVideo Coding FormatMultimodal LearningContrastive Multiview Coding	2019	571
Real-time user-guided image colorization with learned deep priors Richard Zhang, Jun-Yan Zhu, Phillip Isola, ACM Transactions on Graphics Convolutional Neural NetworkLearned Deep PriorsMachine VisionImage AnalysisData Science	2017	552

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