Heiko Neumann
Heiko Neumann
Professor for Computer Science, Ulm University, Institute of Neural Information Processing
Verified email at - Homepage
Cited by
Cited by
Fully convolutional region proposal networks for multispectral person detection
D Konig, M Adam, C Jarvers, G Layher, H Neumann, M Teutsch
Proceedings of the IEEE conference on computer vision and pattern …, 2017
The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex
J Poort, F Raudies, A Wannig, VAF Lamme, H Neumann, PR Roelfsema
Neuron 75 (1), 143-156, 2012
A contrast-and luminance-driven multiscale network model of brightness perception
L Pessoa, E Mingolla, H Neumann
Vision Research 35 (15), 2201-2223, 1995
Multiple classifier systems for the classification of audio-visual emotional states
SF Glodek M, Tschechne S, Layher G, Schels M, Brosch
Affective Computing and Intelligent Interaction (ACII 2011), Part II (S D …, 2011
Disambiguating visual motion through contextual feedback modulation
P Bayerl, H Neumann
Neural computation 16 (10), 2041-2066, 2004
Generating 3d people in scenes without people
Y Zhang, M Hassan, H Neumann, MJ Black, S Tang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Recurrent V1–V2 interaction in early visual boundary processing
H Neumann, W Sepp
Biological Cybernetics 81 (5), 425-444, 1999
On event-based optical flow detection
T Brosch, S Tschechne, H Neumann
Frontiers in neuroscience 9, 137, 2015
Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision
NVK Medathati, H Neumann, GS Masson, P Kornprobst
computer vision and image understanding 150, 1-30, 2016
Adipose tissue distribution predicts survival in amyotrophic lateral sclerosis
E Lindauer, L Dupuis, HP Müller, H Neumann, AC Ludolph, J Kassubek
PloS one 8 (6), e67783, 2013
Multiscale binarization of gene expression data for reconstructing Boolean networks
M Hopfensitz, C Mussel, C Wawra, M Maucher, M Kuhl, H Neumann, ...
IEEE/ACM transactions on computational biology and bioinformatics 9 (2), 487-498, 2011
Quantification of human body fat tissue percentage by MRI
HP Müller, F Raudies, A Unrath, H Neumann, AC Ludolph, J Kassubek
NMR in Biomedicine 24 (1), 17-24, 2011
High‐resolution respiratory self‐gated golden angle cardiac MRI: comparison of self‐gating methods in combination with k‐t SPARSE SENSE
J Paul, E Divkovic, S Wundrak, P Bernhardt, W Rottbauer, H Neumann, ...
Magnetic resonance in medicine 73 (1), 292-298, 2015
The senseemotion database: A multimodal database for the development and systematic validation of an automatic pain-and emotion-recognition system
M Velana, S Gruss, G Layher, P Thiam, Y Zhang, D Schork, V Kessler, ...
Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2017
A comprehensive head pose and gaze database
U Weidenbacher, G Layher, PM Strauss, H Neumann
2007 3rd IET International Conference on Intelligent Environments, 455-458, 2007
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database
P Thiam, V Kessler, M Amirian, P Bellmann, G Layher, Y Zhang, M Velana, ...
IEEE Transactions on Affective Computing 12 (3), 743-760, 2019
Facial expression recognition based on geometric and optical flow features in colour image sequences
R Niese, A Al-Hamadi, A Farag, H Neumann, B Michaelis
IET computer vision 6 (2), 79-89, 2012
Luminance and edge information in grouping: a study using visual search.
ID Gilchrist, GW Humphreys, MJ Riddoch, H Neumann
Journal of Experimental Psychology: Human Perception and Performance 23 (2), 464, 1997
Neural mechanisms of cortico–cortical interaction in texture boundary detection: a modeling approach
A Thielscher, H Neumann
Neuroscience 122 (4), 921-939, 2003
A review and evaluation of methods estimating ego-motion
F Raudies, H Neumann
Computer Vision and Image Understanding 116 (5), 606-633, 2012
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