Tobias Brosch

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Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerificeret mail på uni-ulm.de
Georg LayherInstitute of Neural Information Processing, Ulm UniversityVerificeret mail på yher.de
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingVerificeret mail på uni-ulm.de
Stefan SchererMeta - Reality Labs ResearchVerificeret mail på fb.com
Michael GlodekInstitute of Neural Information Processing, University of UlmVerificeret mail på zguy.de
Günther PalmProfessor für Neuroinformatik, Universität UlmVerificeret mail på uni-ulm.de
Markus KächeleInstitute of Neural Information Processing, Ulm UniversityVerificeret mail på uni-ulm.de
Pieter RoelfsemaVerificeret mail på nin.knaw.nl
sascha meudtulm universityVerificeret mail på uni-ulm.de
Steffen WalterUniversität UlmVerificeret mail på uni-ulm.de
Traue HaraldProfessor, Ulm UniversityVerificeret mail på uni-ulm.de
Christian JarversInstitut für Neuroinformatik, Universität UlmVerificeret mail på uni-ulm.de
Luma Issa Abdul-KreemUniversity of Technology- IraqVerificeret mail på uotechnology.edu.iq
Arnon AmirIBM Almaden Research CenterVerificeret mail på us.ibm.com
Shreya SaxenaAssistant Professor, Wu Tsai Institute and Department of Biomedical Engineering, Yale UniversityVerificeret mail på yale.edu
Antonio Jimeno Yepesunstructured.ioVerificeret mail på unstructured.io
Ahmed ElshaaranyRobotics Engineer at May Mobility, CS MSc , University of California, Santa CruzVerificeret mail på ucsc.edu

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Tobias Brosch

Hensoldt Sensors GmbH

Verificeret mail på hensoldt.net

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


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	185	2011
On Event-Based Optical Flow Detection T Brosch, S Tschechne, H Neumann Frontiers in Neuroscience 9 (137), 1-15, 2015	125	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	61	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	55	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	38	2015
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	33	2014
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	31	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	18	2016
Event-Based Optical Flow on Neuromorphic Hardware T Brosch, H Neumann BICT, 2015	17*	2015
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
Deep Learning Approach for Radar Applications C Neumann, T Brosch 21st International Radar Symposium (IRS), 28-30, 2020	10	2020
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
The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses T Brosch, H Neumann LNCS, 41-50, 2012	8	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
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	3	2016
Towards a Mesoscopic-Level Canonical Circuit Definition for Visual Cortical Processing G Layher, T Brosch, H Neumann BICT, 2015	3	2015
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
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	2	2011
Object Detection and Classification on Heterogeneous Datasets T Brosch, A Elshaarany ICPRAM, 307-12, 2019	1	2019

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