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Tobias Hinz
Tobias Hinz
Adobe Research
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Title
Cited by
Cited by
Year
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
1202018
Semantic Object Accuracy for Generative Text-to-Image Synthesis
T Hinz, S Heinrich, S Wermter
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
972020
Generating Multiple Objects at Spatially Distinct Locations
T Hinz, S Heinrich, S Wermter
International Conference on Learning Representations, 2019
902019
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
892021
Adversarial text-to-image synthesis: A review
S Frolov, T Hinz, F Raue, J Hees, A Dengel
Neural Networks 144, 187-209, 2021
532021
Evaluating defensive distillation for defending text processing neural networks against adversarial examples
M Soll, T Hinz, S Magg, S Wermter
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing†…, 2019
232019
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
202020
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
142016
Image generation and translation with disentangled representations
T Hinz, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
102018
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
82016
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
52019
Inferencing based on unsupervised learning of disentangled representations
T Hinz, S Wermter
European Symposium on Artificial Neural Networks, 2018
52018
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
12022
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
S Xie, Z Zhang, Z Lin, T Hinz, K Zhang
arXiv preprint arXiv:2212.05034, 2022
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 Universitštsbibliothek Hamburg Carl von Ossietzky, 2021
2021
An Evolutionary Approach to Optimize the Hyperparameters of Convolutional Neural Networks
T Hinz
Universitšt 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
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Articles 1–18