Tobias Brosch

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Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingEmail verificata su uni-ulm.de
Georg LayherInstitute of Neural Information Processing, Ulm UniversityEmail verificata su yher.de
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingEmail verificata su uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchEmail verificata su fb.com
Michael GlodekInstitute of Neural Information Processing, University of UlmEmail verificata su zguy.de
Günther PalmProfessor für Neuroinformatik, Universität UlmEmail verificata su uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityEmail verificata su uni-ulm.de
Pieter RoelfsemaEmail verificata su nin.knaw.nl
sascha meudtulm universityEmail verificata su uni-ulm.de
Steffen WalterUniversität UlmEmail verificata su uni-ulm.de
Traue HaraldProfessor, Ulm UniversityEmail verificata su uni-ulm.de
Luma Issa Abdul-KreemUniversity of Technology- IraqEmail verificata su uotechnology.edu.iq
Christian JarversInstitut für Neuroinformatik, Universität UlmEmail verificata su uni-ulm.de
Arnon AmirIBM Almaden Research CenterEmail verificata su us.ibm.com
Shreya SaxenaAssistant Professor, Department of Electrical and Computer Engineering, University of FloridaEmail verificata su ufl.edu
Antonio Jimeno Yepesunstructured.ioEmail verificata su unstructured.io
Ahmed ElshaaranyRobotics Engineer at May Mobility, CS MSc , University of California, Santa CruzEmail verificata su ucsc.edu

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Tobias Brosch

Hensoldt Sensors GmbH

Email verificata su hensoldt.net

Radar-Based Target Recognition Deep Learning SAR Pattern Recognition Micro-Doppler


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... International Conference on Affective Computing and Intelligent Interaction …, 2011	150	2011
On Event-Based Optical Flow Detection T Brosch, S Tschechne, H Neumann Frontiers in Neuroscience 9 (137), 1-15, 2015	90	2015
A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3-4), 117-141, 2012	59	2012
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback T Brosch, H Neumann Neural Computation 26 (12), 2735-89, 2014	47	2014
Interaction of Feedforward and Feedback Streams in Visual Cortex in a Firing-Rate Model of Columnar Computations T Brosch, H Neumann Neural Networks 54, 11-6, 2014	31	2014
Reinforcement Learning of Linking and Tracing Contours in Recurrent Neural Networks T Brosch, H Neumann, PR Roelfsema PLoS Computational Biology 11 (10), e1004489, 2015	30	2015
Multi-modal classifier-fusion for the recognition of emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... Coverbal Synchrony in Human-Machine Interaction, 73, 2013	29	2013
Reversal Learning in Humans and Gerbils: Dynamic Control Network Facilitates Learning C Jarvers, T Brosch, A Brechmann, ML Woldeit, AL Schulz, FW Ohl, ... Frontiers in Neuroscience 10 (535), 1-17, 2016	17	2016
On Event-Based Motion Detection and Integration S Tschechne, T Brosch, R Sailer, N von Egloffstein, LI Abdul-Kreem, ... 8th International Conference on Bio-inspired Information and Communications …, 2014	17	2014
Event-Based Optical Flow on Neuromorphic Hardware T Brosch, H Neumann BICT, 2015	14*	2015
Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture G Layher, T Brosch, H Neumann Frontiers in Neurobotics 11 (13), 1-21, 2017	10	2017
Deep Learning Approach for Radar Applications C Neumann, T Brosch 21st International Radar Symposium (IRS), 28-30, 2020	7	2020
The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses T Brosch, H Neumann LNCS, 41-50, 2012	7	2012
Attention-Gated Reinforcement Learning in Neural Networks—A Unified View T Brosch, F Schwenker, H Neumann Artificial Neural Networks and Machine Learning–ICANN 2013 8131, 272-279, 2013	6	2013
The Combination of HMAX and HOGs in an Attention Guided Framework for Object Localization T Brosch, H Neumann ICPRAM, 281-288, 2012	4	2012
Social Signal Processing in Companion Systems - Challenges Ahead G Layher, S Tschechne, S Scherer, T Brosch, C Curio, H Neumann GI-Edition LNI 192, 239-53, 2011	3	2011
Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing T Brosch, S Tschechne, H Neumann LNCS 10078 (Brain-Inspired Computing 2015), 86-100, 2016	2	2016
Weighted Population Code for Low Power Neuromorphic Image Classification AJ Yepes, J Tang, S Saxena, T Brosch, A Amir IJCNN, 4294-301, 2016	2	2016
Object Detection and Classification on Heterogeneous Datasets T Brosch, A Elshaarany ICPRAM, 307-12, 2019	1	2019
Cognitive Sequential Parallelism: From Canonical Neural Circuits to Training Recurrent Neural Networks in Perceptual Decision-Making T Brosch Ulm University, Institute for Neural Information Processing, 2015	1	2015

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