| Multi-content gan for few-shot font style transfer S Azadi, M Fisher, VG Kim, Z Wang, E Shechtman, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 337 | 2018 |
| Compositional gan: Learning image-conditional binary composition S Azadi, D Pathak, S Ebrahimi, T Darrell International Journal of Computer Vision (IJCV), 2020 | 200* | 2020 |
| Discriminator Rejection Sampling S Azadi, C Olsson, T Darrell, I Goodfellow, A Odena (ICLR 2019) International Conference on Learning Representations, 2019 | 139 | 2019 |
| More Control for Free! Image Synthesis with Semantic Diffusion Guidance X Liu, DH Park, S Azadi, G Zhang, A Chopikyan, Y Hu, H Shi, A Rohrbach, ... IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 | 114* | 2023 |
| Auxiliary image regularization for deep cnns with noisy labels S Azadi, J Feng, S Jegelka, T Darrell (ICLR 2016) International Conference on Learning Representations, 2016 | 89 | 2016 |
| Towards an optimal stochastic alternating direction method of multipliers S Azadi, S Sra International Conference on Machine Learning, 620-628, 2014 | 70 | 2014 |
| Benchmark for Compositional Text-to-Image Synthesis DH Park*, S Azadi*, X Liu, T Darrell, A Rohrbach Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 59* | 2021 |
| Semantic Bottleneck Scene Generation S Azadi, M Tschannen, E Tzeng, S Gelly, T Darrell, M Lucic arXiv preprint arXiv:1911.11357, 2019 | 27 | 2019 |
| Learning detection with diverse proposals S Azadi, J Feng, T Darrell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 22 | 2017 |
| Shape-Guided Diffusion with Inside-Outside Attention D Huk Park, G Luo, C Toste, S Azadi, X Liu, M Karalashvili, A Rohrbach, ... arXiv e-prints, arXiv: 2212.00210, 2022 | 12* | 2022 |
| S-transform based P-wave and S-wave arrival times measurements toward earthquake locating S Azadi, AA Safavi The 2nd International Conference on Control, Instrumentation and Automation …, 2011 | 11 | 2011 |
| Synthesizing new font glyphs from partial observations MD Fisher, S Azadi, V Kim, E Shechtman, Z Wang US Patent 10,621,760, 2020 | 5 | 2020 |
| Optimization-based artifact correction for electron microscopy image stacks S Azadi, J Maitin-Shepard, P Abbeel Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 3 | 2014 |
| Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation S Azadi, A Shah, T Hayes, D Parikh, S Gupta arXiv preprint arXiv:2305.09662, 2023 | 1 | 2023 |
| Text-Conditional Contextualized Avatars For Zero-Shot Personalization S Azadi, T Hayes, A Shah, G Pang, D Parikh, S Gupta arXiv preprint arXiv:2304.07410, 2023 | 1 | 2023 |
| Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition S Azadi, D Pathak, S Ebrahimi, T Darrell ICLR 2019 Workshop on Deep Generative Models for Highly Structured Data, 2019 | 1 | 2019 |
| Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning R Girdhar, M Singh, A Brown, Q Duval, S Azadi, SS Rambhatla, A Shah, ... arXiv preprint arXiv:2311.10709, 2023 | | 2023 |
| Sampling from a generator neural network using a discriminator neural network S Azadi, I Goodfellow, C Olsson, AQ Odena US Patent 11,514,313, 2022 | | 2022 |
| Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck S Azadi, M Tschannen, E Tzeng, S Gelly, T Darrell, M Lucic Synthetic Data Generation Workshop at ICLR'21, 2021 | | 2021 |
| Visual Content Creation by Generative Adversarial Networks S Azadi University of California, Berkeley, 2021 | | 2021 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyEmail confirmado em eecs.berkeley.edu
