Tobias Hinz - Google Scholar

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	All	Since 2015
Citations	96	96
h-index	4	4
i10-index	2	2

20172018201920202 7 43 44

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Prof Dr Stefan WermterUniversity of HamburgVerified email at informatik.uni-hamburg.de
Stefan HeinrichIRCN, The University of TokyoVerified email at mail.u-tokyo.ac.jp
Sven MaggPostdoctoral Researcher, Universität HamburgVerified email at sven-magg.de
Nicolás Navarro-GuerreroAssistant Professor at Aarhus University, DenmarkVerified email at eng.au.dk
Pablo BarrosResearcher, Italian Institute of TechnologyVerified email at iit.it
Johannes TwiefelResearch Associate at Knowledge Technology Group, Dept. Computer Science, University of HamburgVerified email at informatik.uni-hamburg.de
Iris WieserIABG, Innovationszentrum / ehem. Universität HamburgVerified email at online.de
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Jiayuan MaoMIT CSAILVerified email at mit.edu
Oliver WangAdobe ResearchVerified email at adobe.com
Matthew FisherSenior Research Scientist, Adobe ResearchVerified email at cs.stanford.edu

Tobias Hinz

Research Associate, University of Hamburg

Verified email at informatik.uni-hamburg.de - Homepage

Computer Vision Machine Learning Deep Learning


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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	47	2018
Generating Multiple Objects at Spatially Distinct Locations T Hinz, S Heinrich, S Wermter International Conference on Learning Representations, 2019	25	2019
Semantic object accuracy for generative Text-to-Image synthesis T Hinz, S Heinrich, S Wermter arXiv preprint arXiv:1910.13321, 2019	5	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	4	2019
Inferencing based on unsupervised learning of disentangled representations T Hinz, S Wermter European Symposium on Artificial Neural Networks, 2018	4	2018
Image generation and translation with disentangled representations T Hinz, S Wermter 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	3	2018
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	3	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	2	2019
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	2	2016
Improved Techniques for Training Single-Image GANs T Hinz, M Fisher, O Wang, S Wermter arXiv preprint arXiv:2003.11512, 2020	1	2020
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 Universität Hamburg, Fachbereich Informatik, 2016		2016

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