| Adversarial text-to-image synthesis: A review S Frolov, T Hinz, F Raue, J Hees, A Dengel Neural Networks 144, 187-209, 2021 | 207 | 2021 |
| Semantic Object Accuracy for Generative Text-to-Image Synthesis T Hinz, S Heinrich, S Wermter IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 196 | 2020 |
| 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 | 180 | 2023 |
| 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 | 180 | 2021 |
| 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 | 152 | 2018 |
| Generating Multiple Objects at Spatially Distinct Locations T Hinz, S Heinrich, S Wermter International Conference on Learning Representations, 2019 | 123 | 2019 |
| 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 | 34 | 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 | 21 | 2020 |
| Modulating pretrained diffusion models for multimodal image synthesis C Ham, J Hays, J Lu, KK Singh, Z Zhang, T Hinz ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 19 | 2023 |
| 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 | 18 | 2016 |
| 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 | 17 | 2016 |
| 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 | 15 | 2022 |
| Image generation and translation with disentangled representations T Hinz, S Wermter 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 13 | 2018 |
| 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 | 10 | 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 | 8 | 2019 |
| Inferencing based on unsupervised learning of disentangled representations T Hinz, S Wermter European Symposium on Artificial Neural Networks, 2018 | 8 | 2018 |
| Personalized Residuals for Concept-Driven Text-to-Image Generation C Ham, M Fisher, J Hays, N Kolkin, Y Liu, R Zhang, T Hinz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model Z Li, Y Kang, Y Liu, D Liu, T Hinz, F Liu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks T Hinz Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021 | 1 | 2021 |
| Text-based image generation using an image-trained text T Hinz, A Aminian, H Tan, K Kafle, O Wang, J Lu US Patent App. 18/439,036, 2024 | | 2024 |
Prof Dr Stefan WermterUniversity of HamburgVerified email at uni-hamburg.de
