| 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 | 110 | 2018 |
| Generating Multiple Objects at Spatially Distinct Locations T Hinz, S Heinrich, S Wermter International Conference on Learning Representations, 2019 | 83 | 2019 |
| Semantic Object Accuracy for Generative Text-to-Image Synthesis T Hinz, S Heinrich, S Wermter IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 78 | 2020 |
| 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 | 65 | 2021 |
| Adversarial text-to-image synthesis: A review S Frolov, T Hinz, F Raue, J Hees, A Dengel Neural Networks 144, 187-209, 2021 | 31 | 2021 |
| 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 | 19 | 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 | 17 | 2020 |
| The effects of regularization on learning facial expressions with convolutional neural networks T Hinz, P Barros, S Wermter International Conference on Artificial Neural Networks, 80-87, 2016 | 11 | 2016 |
| Image generation and translation with disentangled representations T Hinz, S Wermter 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 9 | 2018 |
| A robotic home assistant with memory aid functionality I Wieser, S Toprak, A Grenzing, T Hinz, S Auddy, EC Karaoğuz, ... Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2016 | 7 | 2016 |
| 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 | 5 | 2019 |
| Inferencing based on unsupervised learning of disentangled representations T Hinz, S Wermter European Symposium on Artificial Neural Networks, 2018 | 5 | 2018 |
| 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 | 1 | 2022 |
| 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 | | 2022 |
| 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 |
| CharacterGAN: Few-Shot Keypoint Character Animation and Reposing Supplementary Material T Hinz, M Fisher, O Wang, E Shechtman, S Wermter | | |
Prof Dr Stefan WermterUniversity of HamburgVerified email at uni-hamburg.de
