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Heiko Neumann

Heiko Neumann

D-Index & Metrics

Computer Science

D-Index
34
Citations
4619
World Ranking
12221
National Ranking
603

Overview

Heiko Neumann is affiliated with the University of Ulm in Germany and has contributed research primarily in the fields of Neuroscience and Computer Science. Their work spans several subfields including Cognitive Neuroscience, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, and Artificial Intelligence.

The scientist's research topics of focus include neural dynamics and brain function, visual perception and processing mechanisms, robotics and sensor-based localization, advanced memory and neural computing, human pose and action recognition, robot manipulation and learning, and image and object detection techniques.

Recent publications authored or co-authored by Heiko Neumann illustrate the interdisciplinary nature of their research. These include:

  • Defining gaze patterns for process model literacy - Exploring visual routines in process models with diverse mappings (2022, Expert Systems with Applications)
  • Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks (2020, OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University))
  • Convolutional Transformer Fusion Blocks for Multi-Modal Gesture Recognition (2023, IEEE Access)
  • Canonical circuit computations for computer vision (2023, Biological Cybernetics)
  • From Near-Optimal Bayesian Integration to Neuromorphic Hardware: A Neural Network Model of Multisensory Integration (2020, Frontiers in Neurorobotics)

Heiko Neumann has collaborated frequently with a set of co-authors, which include Timo Oess, Marc O. Ernst, Daniel Schmid, Christian Jarvers, and Rüdiger Pryss. These collaborations likely reflect shared research interests and complementary expertise.

The scientist's publications are often found in venues such as OPAL (Open@LaTrobe) hosted by La Trobe University, arXiv from Cornell University, bioRxiv by Cold Spring Harbor Laboratory, PLoS Computational Biology, and Expert Systems with Applications.

Best Publications

  • Ontology-Based Integration of Information — A Survey of Existing Approaches

    Holger Wache;Thomas Vögele;Ubbo Visser;Heiner Stuckenschmidt

  • The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex.

    Jasper Poort;Florian Raudies;Aurel Wannig;Victor A.F. Lamme

  • Fully Convolutional Region Proposal Networks for Multispectral Person Detection

    Daniel Konig;Michael Adam;Christian Jarvers;Georg Layher

  • A contrast- and luminance-driven multiscale network model of brightness perception

    Luiz Pessoa;Ennio Mingolla;Heiko Neumann

  • Disambiguating Visual Motion Through Contextual Feedback Modulation

    Pierre Bayerl;Heiko Neumann

  • Multiple classifier systems for the classificatio of audio-visual emotional states

    Michael Glodek;Stephan Tschechne;Georg Layher;Martin Schels

  • Recurrent V1-V2 interaction in early visual boundary processing.

    Heiko Neumann;Wolfgang Sepp

  • Generating 3D People in Scenes Without People

    Yan Zhang;Mohamed Hassan;Heiko Neumann;Michael J. Black

  • Bio-inspired computer vision

    N. V. Kartheek Medathati;Heiko Neumann;Guillaume S. Masson;Pierre Kornprobst

  • On event-based optical flow detection.

    Tobias Brosch;Stephan Tschechne;Heiko Neumann

  • Multiscale Binarization of Gene Expression Data for Reconstructing Boolean Networks

    Martin Hopfensitz;Christoph Mussel;Christian Wawra;Markus Maucher

  • Quantification of human body fat tissue percentage by MRI

    Hans-Peter Müller;Florian Raudies;Alexander Unrath;Heiko Neumann

  • Luminance and edge information in grouping: a study using visual search

    Iain D Gilchrist;GW Humphreys;MJ Riddoch;H Neumann

  • High-resolution respiratory self-gated golden angle cardiac MRI: Comparison of self-gating methods in combination with k-t SPARSE SENSE.

    Jan Paul;Evica Divkovic;Stefan Wundrak;Peter Bernhardt

  • Facial expression recognition based on geometric and optical flow features in colour image sequences

    R. Niese;A. Al-Hamadi;A. Farag;H. Neumann

  • Neural mechanisms of cortico-cortical interaction in texture boundary detection: a modeling approach.

    A. Thielscher;H. Neumann

  • Computing with a canonical neural circuits model with pool normalization and modulating feedback

    Tobias Brosch;Heiko Neumann

  • A review and evaluation of methods estimating ego-motion

    Florian Raudies;Heiko Neumann

  • The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

    Maria Velana;Sascha Gruss;Georg Layher;Patrick Thiam

  • Perception and Interactive Technologies

    Elisabeth André;Laila Dybkjær;Wolfgang Minker;Heiko Neumann

  • Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

    Patrick Thiam;Viktor Kessler;Mohammadreza Amirian;Peter Bellmann

  • A COMPREHENSIVE HEAD POSE AND GAZE DATABASE

    U. Weidenbacher;G. Layher;P.-M. Strauss;H. Neumann

Frequent Co-Authors

Marc O. Ernst
Marc O. Ernst University of Ulm
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
Hans A. Kestler
Hans A. Kestler University of Ulm
Ennio Mingolla
Ennio Mingolla Northeastern University
Luiz Pessoa
Luiz Pessoa University of Maryland, College Park
Siyu Tang
Siyu Tang ETH Zurich
Günther Palm
Günther Palm University of Ulm
Axel Thielscher
Axel Thielscher Technical University of Denmark
Guillaume S. Masson
Guillaume S. Masson Aix-Marseille University
Martin A. Giese
Martin A. Giese University of Tübingen

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