| Semantic Object Accuracy for Generative Text-to-Image Synthesis T Hinz, S Heinrich, S Wermter IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 154 | 2020 |
| Speeding up the hyperparameter optimization of deep convolutional neural networks T Hinz, N Navarro-Guerrero, S Magg, S Wermter International Journal of Computational Intelligence and Applications 17 (02 …, 2018 | 133 | 2018 |
| Improved techniques for training single-image gans T Hinz, M Fisher, O Wang, S Wermter Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 129 | 2021 |
| Adversarial text-to-image synthesis: A review S Frolov, T Hinz, F Raue, J Hees, A Dengel Neural Networks 144, 187-209, 2021 | 121 | 2021 |
| Generating Multiple Objects at Spatially Distinct Locations T Hinz, S Heinrich, S Wermter International Conference on Learning Representations, 2019 | 115 | 2019 |
| Smartbrush: Text and shape guided object inpainting with diffusion model S Xie, Z Zhang, Z Lin, T Hinz, K Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Evaluating defensive distillation for defending text processing neural networks against adversarial examples M Soll, T Hinz, S Magg, S Wermter International Conference on Artificial Neural Networks, 685-696, 2019 | 29 | 2019 |
| Crossmodal language grounding in an embodied neurocognitive model S Heinrich, Y Yao, T Hinz, Z Liu, T Hummel, M Kerzel, C Weber, ... Frontiers in Neurorobotics 14, 52, 2020 | 22 | 2020 |
| The effects of regularization on learning facial expressions with convolutional neural networks T Hinz, P Barros, S Wermter Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 16 | 2016 |
| Image generation and translation with disentangled representations T Hinz, S Wermter 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 12 | 2018 |
| A robotic home assistant with memory aid functionality I Wieser, S Toprak, A Grenzing, T Hinz, S Auddy, EC Karaoğuz, ... KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016 | 12 | 2016 |
| Asset: autoregressive semantic scene editing with transformers at high resolutions D Liu, S Shetty, T Hinz, M Fisher, R Zhang, T Park, E Kalogerakis ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022 | 9 | 2022 |
| Charactergan: Few-shot keypoint character animation and reposing T Hinz, M Fisher, O Wang, E Shechtman, S Wermter Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 8 | 2022 |
| Bootstrapping knowledge graphs from images and text J Mao, Y Yao, S Heinrich, T Hinz, C Weber, S Wermter, Z Liu, M Sun Frontiers in Neurorobotics 13, 93, 2019 | 6 | 2019 |
| Inferencing based on unsupervised learning of disentangled representations T Hinz, S Wermter European Symposium on Artificial Neural Networks, 2018 | 6 | 2018 |
| Modulating pretrained diffusion models for multimodal image synthesis C Ham, J Hays, J Lu, KK Singh, Z Zhang, T Hinz arXiv preprint arXiv:2302.12764, 2023 | 4 | 2023 |
| Semantic Image Fill at High Resolutions T Hinz, P Taesung, R Zhang, MD Fisher, D Liu, E Kalogerakis US Patent App. 17/744,995, 2023 | | 2023 |
| Transferring faces between digital images by combining latent codes utilizing a blending network T Hinz, S Ghadar, R Zhang, R Kalarot, J Lu, E Shechtman US Patent App. 17/660,090, 2023 | | 2023 |
| Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks T Hinz Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021 | | 2021 |
| An Evolutionary Approach to Optimize the Hyperparameters of Convolutional Neural Networks T Hinz Universität Hamburg, Fachbereich Informatik, 2016 | | 2016 |
Prof Dr Stefan WermterUniversity of HamburgVerified email at uni-hamburg.de
