Tobias Hinz
Tobias Hinz
Adobe Research
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Zitiert von
Zitiert von
Semantic Object Accuracy for Generative Text-to-Image Synthesis
T Hinz, S Heinrich, S Wermter
IEEE Transactions on Pattern Analysis and Machine Intelligence, 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
Adversarial text-to-image synthesis: A review
S Frolov, T Hinz, F Raue, J Hees, A Dengel
Neural Networks 144, 187-209, 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
Generating Multiple Objects at Spatially Distinct Locations
T Hinz, S Heinrich, S Wermter
International Conference on Learning Representations, 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
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
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
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
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
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
Image generation and translation with disentangled representations
T Hinz, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 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
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
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
Inferencing based on unsupervised learning of disentangled representations
T Hinz, S Wermter
European Symposium on Artificial Neural Networks, 2018
Disentanglement, Compositionality, Specification: Representation Learning with Generative Adversarial Networks
T Hinz
Staats-und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021
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
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
An Evolutionary Approach to Optimize the Hyperparameters of Convolutional Neural Networks
T Hinz
Universität Hamburg, Fachbereich Informatik, 2016
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