Efros, Alexei A.

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 23,602

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 22,930

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Image and Video Quality AssessmentGenerative Adversarial Networks and Image Synthesis

Cited by 14,623

Context Encoders: Feature Learning by Inpainting

Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 5,691

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A. A., & Darrell, T. (2017) · arXiv

Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis

Cited by 2,656

Unsupervised Visual Representation Learning by Context Prediction

Doersch, C., Gupta, A., & Efros, A. A. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,629

Unbiased look at dataset bias

Torralba, A., & Efros, A. A. (2011) · CVPR 2011

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,440

Curiosity-Driven Exploration by Self-Supervised Prediction

Pathak, D., Agrawal, P., Efros, A. A., & Darrell, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1,815

Instructpix2pix: Learning to follow image editing instructions

Brooks, T., Holynski, A., & Efros, A. A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1,466

CNN-Generated Images Are Surprisingly Easy to Spot… for Now

Wang, S.-Y., Wang, O., Zhang, R., Owens, A., & Efros, A. A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 1,210

Ensemble of exemplar-SVMs for object detection and beyond

Malisiewicz, T., Gupta, A., & Efros, A. A. (2011) · 2011 International Conference on Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 865

Everybody Dance Now

Chan, C., Ginosar, S., Zhou, T., & Efros, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 737

Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

Owens, A., & Efros, A. A. (2018) · Lecture Notes in Computer Science

Speech and Audio ProcessingMultisensory perception and integration

Cited by 704

Automatic photo pop-up

Hoiem, D., Efros, A. A., & Hebert, M. (2005) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 616

Large-Scale Study of Curiosity-Driven Learning

Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T., & Efros, A. A. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 401

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Sun, Y., Wang, X., Liu, Z., Miller, J., Efros, A. A., & Hardt, M. (2019) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 393

Recovering Occlusion Boundaries from a Single Image

Hoiem, D., Stein, A. N., Efros, A. A., & Hebert, M. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 206

Dataset distillation

Wang, T., Zhu, J.-Y., Torralba, A., & Efros, A. A. (2018) · arXiv

Machine Learning and Data ClassificationDomain Adaptation and Few-Shot Learning

Cited by 194

City Forensics: Using Visual Elements to Predict Non-Visual City Attributes

Arietta, S. M., Efros, A. A., Ramamoorthi, R., & Agrawala, M. (2014) · IEEE Transactions on Visualization and Computer Graphics

Urban Design and Spatial AnalysisData Visualization and Analytics

Cited by 139

Rosetta Neurons: Mining the Common Units in a Model Zoo

Dravid, A., Gandelsman, Y., Efros, A. A., & Shocher, A. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 9

Test-Time Training on Video Streams

Wang, R., Sun, Y., Tandon, A., Gandelsman, Y., Chen, X., Efros, A. A., & Wang, X. (2023) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 4

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

Koepke, A. S., Zverev, D., Ginosar, S., & Efros, A. A. (2026) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0