2016 - ACM Prize in Computing For groundbreaking data-driven approaches to computer graphics and computer vision.
2008 - Fellow of John Simon Guggenheim Memorial Foundation
Alexei A. Efros mainly investigates Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Image. His work in Segmentation, Discriminative model, Object detection, Translation and Image translation is related to Artificial intelligence. He works mostly in the field of Translation, limiting it down to topics relating to Graphics and, in certain cases, Domain.
His Pattern recognition research includes elements of Object and Contextual image classification. The Machine learning study combines topics in areas such as Adversarial system and Face. His work on Visual Word as part of general Image research is frequently linked to Set, bridging the gap between disciplines.
Alexei A. Efros mainly focuses on Artificial intelligence, Computer vision, Image, Pattern recognition and Machine learning. His Object, Segmentation, Pixel, Object detection and Convolutional neural network investigations are all subjects of Artificial intelligence research. His work on Image segmentation, Image texture and Image processing as part of general Computer vision research is often related to Pipeline and Set, thus linking different fields of science.
His research integrates issues of Translation and Representation in his study of Image. In the subject of general Pattern recognition, his work in Feature learning is often linked to Consistency, thereby combining diverse domains of study. In his study, Pascal is inextricably linked to Training set, which falls within the broad field of Machine learning.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Image, Pattern recognition and Range. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Machine learning. Alexei A. Efros combines subjects such as Contextual image classification and Robustness with his study of Machine learning.
His work on Image translation as part of general Image study is frequently connected to Detector, Generator and Scripting language, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Image translation research is multidisciplinary, incorporating elements of Mutual information and Feature vector. His work deals with themes such as Optical flow and Code, which intersect with Pattern recognition.
His primary scientific interests are in Artificial intelligence, Image, Pattern recognition, Machine learning and Translation. His study in Segmentation, Feature learning, Deep learning, Face and Object is carried out as part of his Artificial intelligence studies. His biological study spans a wide range of topics, including Computer graphics and Image warping.
The various areas that Alexei A. Efros examines in his Pattern recognition study include Autoencoder, Key and Code. The concepts of his Machine learning study are interwoven with issues in Contextual image classification and Robustness. His Computer vision research extends to the thematically linked field of Translation.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola;Jun-Yan Zhu;Tinghui Zhou;Alexei A. Efros.
computer vision and pattern recognition (2017)
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu;Taesung Park;Phillip Isola;Alexei A. Efros.
international conference on computer vision (2017)
Texture synthesis by non-parametric sampling
A.A. Efros;T.K. Leung.
international conference on computer vision (1999)
Context Encoders: Feature Learning by Inpainting
Deepak Pathak;Philipp Krahenbuhl;Jeff Donahue;Trevor Darrell.
computer vision and pattern recognition (2016)
Image quilting for texture synthesis and transfer
Alexei A. Efros;William T. Freeman.
international conference on computer graphics and interactive techniques (2001)
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang;Phillip Isola;Phillip Isola;Alexei A. Efros;Eli Shechtman.
computer vision and pattern recognition (2018)
Colorful Image Colorization
Richard Yi Zhang;Phillip Isola;Alexei A. Efros.
european conference on computer vision (2016)
Unbiased look at dataset bias
Antonio Torralba;Alexei A. Efros.
computer vision and pattern recognition (2011)
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch;Abhinav Gupta;Alexei A. Efros.
international conference on computer vision (2015)
Discovering objects and their location in images
J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman.
international conference on computer vision (2005)
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