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ORCIDAlexei A. Efros
Alyosha A. Efros
Person information
- affiliation: UC Berkeley
- award: ACM Prize in Computing, 2016
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2020 – today
- 2024
[c142]Yang Fu, Xiaolong Wang, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros:
COLMAP-Free 3D Gaussian Splatting. CVPR 2024: 20796-20805- [c141]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CVPR 2024: 22861-22872 - [c140]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting CLIP's Image Representation via Text-Based Decomposition. ICLR 2024 - [c139]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. ICLR 2024 - [c138]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. ICML 2024 - [i103]Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik:
Synthesizing Moving People with 3D Control. CoRR abs/2401.10889 (2024) - [i102]Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg:
Rethinking Patch Dependence for Masked Autoencoders. CoRR abs/2401.14391 (2024) - [i101]Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski:
Disentangled 3D Scene Generation with Layout Learning. CoRR abs/2402.16936 (2024) - [i100]Ethan Weber, Riley Peterlinz, Rohan Mathur, Frederik Warburg, Alexei A. Efros, Angjoo Kanazawa:
Toon3D: Seeing Cartoons from a New Perspective. CoRR abs/2405.10320 (2024) - [i99]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting the Second-Order Effects of Neurons in CLIP. CoRR abs/2406.04341 (2024) - [i98]Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR abs/2406.09408 (2024) - [i97]Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman:
Interpreting the Weight Space of Customized Diffusion Models. CoRR abs/2406.09413 (2024) - [i96]David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Rethinking Score Distillation as a Bridge Between Image Distributions. CoRR abs/2406.09417 (2024) - [i95]Ioannis Siglidis, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar:
Diffusion Models as Data Mining Tools. CoRR abs/2408.02752 (2024) - [i94]Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas P. O'Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, Alexei A. Efros:
Evaluating Multiview Object Consistency in Humans and Image Models. CoRR abs/2409.05862 (2024) - [i93]Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua:
IT3: Idempotent Test-Time Training. CoRR abs/2410.04201 (2024) - [i92]Renhao Wang, Kevin Frans, Pieter Abbeel, Sergey Levine, Alexei A. Efros:
Prioritized Generative Replay. CoRR abs/2410.18082 (2024) - 2023
- [c137]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CVPR 2023: 3739-3748 - [c136]Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh:
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CVPR 2023: 17089-17099 - [c135]Tim Brooks, Aleksander Holynski, Alexei A. Efros:
InstructPix2Pix: Learning to Follow Image Editing Instructions. CVPR 2023: 18392-18402 - [c134]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. ICCV 2023: 1934-1943 - [c133]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. ICCV 2023: 7158-7169 - [c132]Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. ICCV 2023: 19683-19693 - [c131]Alexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. ICML 2023: 19385-19406 - [c130]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. NeurIPS 2023 - [c129]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. NeurIPS 2023 - [i91]Alexander C. Li, Ellis Brown
, Alexei A. Efros, Deepak Pathak:
Internet Explorer: Targeted Representation Learning on the Open Web. CoRR abs/2302.14051 (2023) - [i90]Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa:
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. CoRR abs/2303.12789 (2023) - [i89]Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh:
Putting People in Their Place: Affordance-Aware Human Insertion into Scenes. CoRR abs/2304.14406 (2023) - [i88]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Generalizing Dataset Distillation via Deep Generative Prior. CoRR abs/2305.01649 (2023) - [i87]Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. CoRR abs/2306.00986 (2023) - [i86]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. CoRR abs/2306.09345 (2023) - [i85]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. CoRR abs/2306.09346 (2023) - [i84]Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang:
Test-Time Training on Video Streams. CoRR abs/2307.05014 (2023) - [i83]Tom Monnier, Jake Austin, Angjoo Kanazawa, Alexei A. Efros, Mathieu Aubry:
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives. CoRR abs/2307.05473 (2023) - [i82]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting CLIP's Image Representation via Text-Based Decomposition. CoRR abs/2310.05916 (2023) - [i81]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. CoRR abs/2311.01462 (2023) - [i80]Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros:
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR abs/2312.00785 (2023) - [i79]Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros, Xiaolong Wang:
COLMAP-Free 3D Gaussian Splatting. CoRR abs/2312.07504 (2023) - 2022
- [j39]Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon-Bonnet, Christine Benevent, Marc H. Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry:
Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. Int. J. Comput. Vis. 130(5): 1325-1339 (2022) - [j38]Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik:
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8754-8765 (2022) - [c128]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Wearable ImageNet: Synthesizing Tileable Textures via Dataset Distillation. CVPR Workshops 2022: 2277-2281 - [c127]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR Workshops 2022: 4749-4758 - [c126]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CVPR Workshops 2022: 5078-5088 - [c125]Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens:
Learning Pixel Trajectories with Multiscale Contrastive Random Walks. CVPR 2022: 6498-6509 - [c124]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CVPR 2022: 10708-10717 - [c123]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471 - [c122]Alexander C. Li, Ellis Brown, Alexei A. Efros, Deepak Pathak:
Internet Curiosity: Directed Unsupervised Learning on Uncurated Internet Data. ECCV Workshops (4) 2022: 100-104 - [c121]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. ECCV (1) 2022: 285-303 - [c120]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs Through the Lens of Race. ECCV (13) 2022: 344-360 - [c119]Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu:
Scraping Textures from Natural Images for Synthesis and Editing. ECCV (15) 2022: 391-408 - [c118]Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-contrastive Siamese Representation Learning. ECCV (31) 2022: 490-505 - [c117]Tim Brooks, Alexei A. Efros:
Hallucinating Pose-Compatible Scenes. ECCV (16) 2022: 510-528 - [c116]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [c115]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. NeurIPS 2022 - [c114]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras:
Generating Long Videos of Dynamic Scenes. NeurIPS 2022 - [c113]Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros:
Test-Time Training with Masked Autoencoders. NeurIPS 2022 - [c112]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. WACV 2022: 507-516 - [i78]Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens:
Learning Pixel Trajectories with Multiscale Contrastive Random Walks. CoRR abs/2201.08379 (2022) - [i77]George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu:
Dataset Distillation by Matching Training Trajectories. CoRR abs/2203.11932 (2022) - [i76]Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry:
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency. CoRR abs/2204.10310 (2022) - [i75]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i74]Tim Brooks, Janne Hellsten, Miika Aittala, Ting-Chun Wang, Timo Aila, Jaakko Lehtinen, Ming-Yu Liu, Alexei A. Efros, Tero Karras:
Generating Long Videos of Dynamic Scenes. CoRR abs/2206.03429 (2022) - [i73]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. CoRR abs/2209.00647 (2022) - [i72]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs through the Lens of Race. CoRR abs/2209.02836 (2022) - [i71]Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros:
Test-Time Training with Masked Autoencoders. CoRR abs/2209.07522 (2022) - [i70]William S. Peebles, Ilija Radosavovic, Tim Brooks, Alexei A. Efros, Jitendra Malik:
Learning to Learn with Generative Models of Neural Network Checkpoints. CoRR abs/2209.12892 (2022) - [i69]Alexander C. Li, Alexei A. Efros, Deepak Pathak:
Understanding Collapse in Non-Contrastive Learning. CoRR abs/2209.15007 (2022) - [i68]Tim Brooks, Aleksander Holynski, Alexei A. Efros:
InstructPix2Pix: Learning to Follow Image Editing Instructions. CoRR abs/2211.09800 (2022) - 2021
- [c111]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-Shot Image Generation via Cross-Domain Correspondence. CVPR 2021: 10743-10752 - [c110]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. ICCV 2021: 9710-9720 - [c109]Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. ICLR 2021 - [c108]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. ICLR 2021 - [c107]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. ICLR 2021 - [c106]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - [i67]Medhini Narasimhan, Shiry Ginosar, Andrew Owens, Alexei A. Efros, Trevor Darrell:
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures. CoRR abs/2104.02687 (2021) - [i66]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-shot Image Generation via Cross-domain Correspondence. CoRR abs/2104.06820 (2021) - [i65]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021) - [i64]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. CoRR abs/2110.02951 (2021) - [i63]Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry:
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. CoRR abs/2110.15904 (2021) - [i62]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CoRR abs/2112.05143 (2021) - [i61]Tim Brooks, Alexei A. Efros:
Hallucinating Pose-Compatible Scenes. CoRR abs/2112.06909 (2021) - 2020
- [j37]Alexei A. Efros, Aaron Hertzmann:
Technical perspective: When the adversary is your friend. Commun. ACM 63(11): 138 (2020) - [j36]Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine:
Morphology-Agnostic Visual Robotic Control. IEEE Robotics Autom. Lett. 5(2): 766-773 (2020) - [c105]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-Generated Images Are Surprisingly Easy to Spot... for Now. CVPR 2020: 8692-8701 - [c104]Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu:
Unselfie: Translating Selfies to Neutral-Pose Portraits in the Wild. ECCV (17) 2020: 156-173 - [c103]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) 2020: 319-345 - [c102]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. ECCV (4) 2020: 544-561 - [c101]William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. ECCV (6) 2020: 581-597 - [c100]Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry:
RANSAC-Flow: Generic Two-Stage Image Alignment. ECCV (4) 2020: 618-637 - [c99]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. ICML 2020: 9229-9248 - [c98]Allan Jabri, Andrew Owens, Alexei A. Efros:
Space-Time Correspondence as a Contrastive Random Walk. NeurIPS 2020 - [c97]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [i60]Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry:
RANSAC-Flow: generic two-stage image alignment. CoRR abs/2004.01526 (2020) - [i59]Allan Jabri, Andrew Owens, Alexei A. Efros:
Space-Time Correspondence as a Contrastive Random Walk. CoRR abs/2006.14613 (2020) - [i58]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. CoRR abs/2007.00653 (2020) - [i57]Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Self-Supervised Policy Adaptation during Deployment. CoRR abs/2007.04309 (2020) - [i56]Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu:
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. CoRR abs/2007.15068 (2020) - [i55]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2007.15651 (2020) - [i54]Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely:
Learning to Factorize and Relight a City. CoRR abs/2008.02796 (2020) - [i53]Tete Xiao, Xiaolong Wang, Alexei A. Efros, Trevor Darrell:
What Should Not Be Contrastive in Contrastive Learning. CoRR abs/2008.05659 (2020) - [i52]William S. Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, Antonio Torralba:
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement. CoRR abs/2008.10599 (2020) - [i51]Qiang Zhang, Tete Xiao, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang:
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency. CoRR abs/2012.09811 (2020)
2010 – 2019
- 2019
- [j35]Julien Philip, Michaël Gharbi, Tinghui Zhou, Alexei A. Efros, George Drettakis:
Multi-view relighting using a geometry-aware network. ACM Trans. Graph. 38(4): 78:1-78:14 (2019) - [c96]Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths:
Human-level but not human-like: Deep Reinforcement Learning in the dark. CogSci 2019: 3265 - [c95]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence From the Cycle-Consistency of Time. CVPR 2019: 2566-2576 - [c94]Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. CVPR 2019: 9278-9287 - [c93]Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. ICCV 2019: 1171-1180 - [c92]Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros:
Everybody Dance Now. ICCV 2019: 5932-5941 - [c91]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. ICCV 2019: 10071-10080 - [c90]Yuri Burda, Harri Edwards, Deepak Pathak, Amos J. Storkey, Trevor Darrell, Alexei A. Efros:
Large-Scale Study of Curiosity-Driven Learning. ICLR (Poster) 2019 - [c89]Dinesh Jayaraman, Frederik Ebert, Alexei A. Efros, Sergey Levine:
Time-Agnostic Prediction: Predicting Predictable Video Frames. ICLR (Poster) 2019 - [c88]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. NeurIPS 2019: 2292-2302 - [i50]Deepak Pathak, Christopher Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros:
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity. CoRR abs/1902.05546 (2019) - [i49]Xi Shen, Alexei A. Efros, Mathieu Aubry:
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning. CoRR abs/1903.02678 (2019) - [i48]Xiaolong Wang, Allan Jabri, Alexei A. Efros:
Learning Correspondence from the Cycle-Consistency of Time. CoRR abs/1903.07593 (2019) - [i47]Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. CoRR abs/1906.05856 (2019) - [i46]Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. CoRR abs/1909.11081 (2019) - [i45]Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros:
Unsupervised Domain Adaptation through Self-Supervision. CoRR abs/1909.11825 (2019) - [i44]Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt:
Test-Time Training for Out-of-Distribution Generalization. CoRR abs/1909.13231 (2019) - [i43]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-generated images are surprisingly easy to spot... for now. CoRR abs/1912.11035 (2019) - [i42]