Heiko Neumann
Heiko Neumann
Professor for Computer Science, Ulm University, Institute of Neural Information Processing
Verified email at uni-ulm.de - Homepage
Title
Cited by
Cited by
Year
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
1812012
A contrast-and luminance-driven multiscale network model of brightness perception
L Pessoa, E Mingolla, H Neumann
Vision Research 35 (15), 2201-2223, 1995
1791995
Disambiguating visual motion through contextual feedback modulation
P Bayerl, H Neumann
Neural computation 16 (10), 2041-2066, 2004
1602004
Recurrent V1–V2 interaction in early visual boundary processing
H Neumann, W Sepp
Biological Cybernetics 81 (5), 425-444, 1999
1261999
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
120*2011
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
742017
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
682011
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
642013
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
631997
Neural mechanisms of cortico–cortical interaction in texture boundary detection: a modeling approach
A Thielscher, H Neumann
Neuroscience 122 (4), 921-939, 2003
602003
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
592016
A comprehensive head pose and gaze database
U Weidenbacher, G Layher, PM Strauss, H Neumann
IET Digital Library, 2007
592007
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
552012
A fast biologically inspired algorithm for recurrent motion estimation
P Bayerl, H Neumann
IEEE Trans. on Pattern Analysis and Machine Intelligence 29 (2), 246-260, 2007
552007
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
522015
On event-based optical flow detection
T Brosch, S Tschechne, H Neumann
Frontiers in neuroscience 9, 137, 2015
512015
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
512012
Computational neural models of spatial integration in perceptual grouping
H Neumann, E Mingolla
From Fragments to Objects - Segmentation and Grouping in Vision (Advances in …, 2001
512001
TimeLapseAnalyzer: Multi-target analysis for live-cell imaging and time-lapse microscopy
J Huth, M Buchholz, JM Kraus, K Mølhave, C Gradinaru, G Wichert, ...
Computer Methods and Programs in Biomedicine 104 (2), 227-234, 2011
502011
A review and evaluation of methods estimating ego-motion
F Raudies, H Neumann
Computer Vision and Image Understanding 116 (5), 606-633, 2012
482012
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Articles 1–20