Tobias Hinz
Tobias Hinz
Research Associate, University of Hamburg
Verified email at informatik.uni-hamburg.de - Homepage
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
472018
Generating Multiple Objects at Spatially Distinct Locations
T Hinz, S Heinrich, S Wermter
International Conference on Learning Representations, 2019
252019
Semantic object accuracy for generative Text-to-Image synthesis
T Hinz, S Heinrich, S Wermter
arXiv preprint arXiv:1910.13321, 2019
52019
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
42019
Inferencing based on unsupervised learning of disentangled representations
T Hinz, S Wermter
European Symposium on Artificial Neural Networks, 2018
42018
Image generation and translation with disentangled representations
T Hinz, S Wermter
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
32018
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
32016
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
22019
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 (KŁnstliche†…, 2016
22016
Improved Techniques for Training Single-Image GANs
T Hinz, M Fisher, O Wang, S Wermter
arXiv preprint arXiv:2003.11512, 2020
12020
Crossmodal language grounding in an embodied neurocognitive model
S Heinrich, Y Yao, T Hinz, Z Liu, T Hummel, M Kerzel, C Weber, ...
arXiv preprint arXiv:2006.13546, 2020
2020
An Evolutionary Approach to Optimize the Hyperparameters of Convolutional Neural Networks
T Hinz
Universitšt Hamburg, Fachbereich Informatik, 2016
2016
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Articles 1–12