| Self-attention generative adversarial networks H Zhang, I Goodfellow, D Metaxas, A Odena International conference on machine learning, 7354-7363, 2019 | 4451 | 2019 |
| Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas IEEE Int. Conf. Comput. Vision (ICCV), 5907-5915, 2017 | 3412 | 2017 |
| FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ... arXiv preprint arXiv:2001.07685, 2020 | 3032 | 2020 |
| Attngan: Fine-grained text to image generation with attentional generative adversarial networks T Xu, P Zhang, Q Huang, H Zhang, Z Gan, X Huang, X He Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1849 | 2018 |
| StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks H Zhang, T Xu, H Li, S Zhang, X Wang, X Huang, D Metaxas arXiv preprint arXiv:1710.10916, 2017 | 1466 | 2017 |
| ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel arXiv preprint arXiv:1911.09785, 2019 | 1042 | 2019 |
| SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation Y Xue, T Xu, H Zhang, LR Long, X Huang Neuroinformatics 16 (3-4), 383-392, 2018 | 638 | 2018 |
| Scaling autoregressive models for content-rich text-to-image generation J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ... arXiv preprint arXiv:2206.10789, 2022 | 634 | 2022 |
| A Simple Semi-Supervised Learning Framework for Object Detection K Sohn, Z Zhang, CL Li, H Zhang, CY Lee, T Pfister arXiv preprint arXiv:2005.04757, 2020 | 448 | 2020 |
| Learning to Prompt for Continual Learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... arXiv preprint arXiv:2112.08654, 2021 | 398 | 2021 |
| Maxvit: Multi-axis vision transformer Z Tu, H Talebi, H Zhang, F Yang, P Milanfar, A Bovik, Y Li arXiv preprint arXiv:2204.01697, 2022 | 381 | 2022 |
| SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on …, 2016 | 342 | 2016 |
| MAXIM: Multi-Axis MLP for Image Processing Z Tu, H Talebi, H Zhang, F Yang, P Milanfar, A Bovik, Y Li arXiv preprint arXiv:2201.02973, 2022 | 332 | 2022 |
| Improving GANs using optimal transport T Salimans, H Zhang, A Radford, D Metaxas arXiv preprint arXiv:1803.05573, 2018 | 331 | 2018 |
| Cross-Modal Contrastive Learning for Text-to-Image Generation H Zhang, JY Koh, J Baldridge, H Lee, Y Yang arXiv preprint arXiv:2101.04702, 2021 | 314 | 2021 |
| Co-Occurrent Features in Semantic Segmentation H Zhang, H Zhang, C Wang, J Xie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 311 | 2019 |
| MaskGIT: Masked Generative Image Transformer H Chang, H Zhang, L Jiang, C Liu, WT Freeman arXiv preprint arXiv:2202.04200, 2022 | 289 | 2022 |
| PseudoSeg: Designing Pseudo Labels for Semantic Segmentation Y Zou, Z Zhang, H Zhang, CL Li, X Bian, JB Huang, T Pfister arXiv preprint arXiv:2010.09713, 2020 | 280 | 2020 |
| Consistency Regularization for Generative Adversarial Networks H Zhang, Z Zhang, A Odena, H Lee arXiv preprint arXiv:1910.12027, 2019 | 278 | 2019 |
| Muse: Text-To-Image Generation via Masked Generative Transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023 | 258 | 2023 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityZweryfikowany adres z cs.rutgers.edu
