| Image-to-image translation with conditional adversarial networks P Isola, JY Zhu, T Zhou, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 8811 | 2017 |
| Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE International Conference on Computer Vision, 2017 | 8102 | 2017 |
| High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs TC Wang, MY Liu, JY Zhu, A Tao, J Kautz, B Catanzaro Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 1589 | 2018 |
| CyCADA: Cycle-Consistent Adversarial Domain Adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell International Conference on Machine Learning, 2018 | 1202 | 2018 |
| Generative Visual Manipulation on the Natural Image Manifold JY Zhu, P Krähenbühl, E Shechtman, AA Efros Proceedings of European Conference on Computer Vision (ECCV), 2016 | 864 | 2016 |
| Toward Multimodal Image-to-Image Translation JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman Advances in Neural Information Processing Systems, 465-476, 2017 | 774 | 2017 |
| Semantic Image Synthesis with Spatially-Adaptive Normalization T Park, MY Liu, TC Wang, JY Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 677 | 2019 |
| Video-to-Video Synthesis TC Wang, MY Liu, JY Zhu, G Liu, A Tao, J Kautz, B Catanzaro Advances in Neural Information Processing Systems, 2018 | 450 | 2018 |
| Generating adversarial examples with adversarial networks C Xiao, B Li, JY Zhu, W He, M Liu, D Song International Joint Conferences on Artificial Intelligence, 2018 | 278 | 2018 |
| Weakly supervised histopathology cancer image segmentation and classification Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu Medical image analysis 18 (3), 591-604, 2014 | 277* | 2014 |
| Real-time User-guided Image Colorization with Learned Deep Priors R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros ACM Transactions on Graphics (TOG) 36 (4), 119:1--119:11, 2017 | 257 | 2017 |
| Spatially transformed adversarial examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song International Conference on Learning Representations, 2018 | 221 | 2018 |
| GAN Dissection: Visualizing and Understanding Generative Adversarial Networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... International Conference on Learning Representations (ICLR) 11, 2019 | 218* | 2019 |
| Learning the signatures of the human grasp using a scalable tactile glove S Sundaram, P Kellnhofer, Y Li, JY Zhu, A Torralba, W Matusik Nature 569 (7758), 698-702, 2019 | 193 | 2019 |
| A 4D light-field dataset and CNN architectures for material recognition TC Wang, JY Zhu, E Hiroaki, M Chandraker, AA Efros, R Ramamoorthi Proceedings of European Conference on Computer Vision (ECCV), 2016 | 150 | 2016 |
| Unsupervised object class discovery via saliency-guided multiple class learning JY Zhu, J Wu, Y Xu, E Chang, Z Tu IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (4), 862--875, 2015 | 142 | 2015 |
| Milcut: A sweeping line multiple instance learning paradigm for interactive image segmentation J Wu, Y Zhao, JY Zhu, S Luo, Z Tu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 96 | 2014 |
| Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, B Zhou, JY Zhu, A Torralba ACM Transactions on Graphics (TOG) 38 (4), 2019 | 95 | 2019 |
| Visual object networks: Image generation with disentangled 3d representation JY Zhu, Z Zhang, C Zhang, J Wu, A Torralba, JB Tenenbaum, ... arXiv preprint arXiv:1812.02725, 2018 | 82 | 2018 |
| Seeing what a gan cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 80 | 2019 |
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
