Fusion von Basisalgorithmen zur Segmentierung von Straßenverkehrsszenen. - Uwe Handmann; Gesa Lorenz; Werner von Seelen (DAGM-Symposium, 1998)

Image Processing for Driver Assistance. - Werner von Seelen; Uwe Handmann; Thomas Kalinke; Christos Tzomakas; Martin Werner 002 (DAGM-Symposium, 1998)

Eine flexible Architektur für Fahrerassistenzsysteme. - Uwe Handmann; Iris Leefken; Christos Tzomakas (DAGM-Symposium, 1999)

A Flexible Architecture for Driver Assistance Systems. - Uwe Handmann; Iris Leefken; Christos Tzomakas (KI, 1999)

Flexible architecture for driver assistance. - Uwe Handmann; Iris Leefken; Christos Tzomakas; Werner von Seelen (Mobile Robots, 1999)

Bewegungssteuerung autonomer Fahrzeuge mit neuronalen Feldern. - Uwe Handmann (DAGM-Symposium, 2000)

Scene Analysis and Organization of Behavior in Driver Assistance Systems. - Werner von Seelen; Cristóbal Curio; J. Gayko; Uwe Handmann; Thomas Kalinke (ICIP, 2000)

An image processing system for driver assistance. - Uwe Handmann; Thomas Kalinke; Christos Tzomakas; Martin Werner 002; Werner von Seelen (Image Vis. Comput., 2000)

Evolutionary Optimization of Neural Networks for Face Detection. - Stefan Wiegand; Christian Igel; Uwe Handmann (ESANN, 2004)

Evolutionary Multi-Objective Optimisation Of Neural Networks For Face Detection. - Stefan Wiegand; Christian Igel; Uwe Handmann (Int. J. Comput. Intell. Appl., 2004)

Fusion of Audio- and Visual Cues for Real-Life Emotional Human Robot Interaction. - Ahmad Rabie; Uwe Handmann (DAGM-Symposium, 2011)

Face Detection and Person Identification on Mobile Platforms. - Uwe Handmann; Sebastian Hommel; Michael Brauckmann; Michael Dose (Towards Service Robots for Everyday Environments, 2012)

Contactless Interaction for Automotive Applications. - Thomas Kopinski; Stefan Geisler; Uwe Handmann (MuC (Workshopband), 2013)

Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors. - Thomas Kopinski; Alexander Rainer Tassilo Gepperth; Stefan Geisler; Uwe Handmann (ICANN, 2014)

A real-time applicable 3D gesture recognition system for automobile HMI. - Thomas Kopinski; Stefan Geisler; Louis-Charles Caron; Alexander Gepperth; Uwe Handmann (ITSC, 2014)

Demonstrator für ein handgestenbasiertes Interaktionskonzept im Automobil. - Thomas Kopinski; Stefan Geisler; Uwe Handmann (MuC (Workshopband), 2014)

Personalized and adaptable mHealth architecture. - Abbas Siddiqui; Oliver Koch; Ahmad Rabie; Uwe Handmann (MobiHealth, 2014)

Multi-modal biometrics for real-life person-specific emotional human-robot-interaction. - Ahmad Rabie; Uwe Handmann (ROBIO, 2014)

A simple technique for improving multi-class classification with neural networks. - Thomas Kopinski; Alexander Gepperth; Uwe Handmann (ESANN, 2015)

Gesture-based human-machine interaction for assistance systems. - Thomas Kopinski; Stefan Geisler; Uwe Handmann (ICIA, 2015)

Privacy Aware Person-specific Assisting System for Home Environment. - Ahmad Rabie; Uwe Handmann (ICPRAM (2), 2015)

A pragmatic approach to multi-class classification. - Thomas Kopinski; Stephane Magand; Uwe Handmann; Alexander Rainer Tassilo Gepperth (IJCNN, 2015)

A Real-Time Applicable Dynamic Hand Gesture Recognition Framework. - Thomas Kopinski; Alexander Gepperth; Uwe Handmann (ITSC, 2015)

A light-weight real-time applicable hand gesture recognition system for automotive applications. - Thomas Kopinski; Stephane Magand; Alexander Rainer Tassilo Gepperth; Uwe Handmann (Intelligent Vehicles Symposium, 2015)

Positive Computing - A New Trend in Business and Information Systems Engineering? - Jan M. Pawlowski; Sabrina C. Eimler; Marc Jansen; Julia Stoffregen; Stefan Geisler; Oliver Koch; Gordon Müller; Uwe Handmann (Bus. Inf. Syst. Eng., 2015)

A Deep Learning Approach for Hand Posture Recognition from Depth Data. - Thomas Kopinski; Fabian Sachara; Alexander Gepperth; Uwe Handmann (ICANN (2), 2016)

A time-of-flight-based hand posture database for human-machine interaction. - Thomas Kopinski; Alexander R. T. Gepperth; Uwe Handmann (ICARCV, 2016)

Touchless interaction for future mobile applications. - Thomas Kopinski; Uwe Handmann (ICNC, 2016)

Touch versus mid-air gesture interfaces in road scenarios - measuring driver performance degradation. - Thomas Kopinski; Jan Eberwein; Stefan Geisler; Uwe Handmann (ITSC, 2016)

A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data. - Thomas Kopinski; Fabian Sachara; Uwe Handmann (MobiQuitous, 2016)

Boosting Detection Results of HOG-Based Algorithms Through Non-linear Metrics and ROI Fusion. - Darius Malysiak; Anna-Katharina Römhild; Christoph Nieß; Uwe Handmann (ACIIDS (1), 2017)

Text and character recognition on metal-sheets. - Jan Kronenberger; Darius Malysiak; Uwe Handmann (ICIA, 2017)

Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM. - Ayanava Sarkar; Alexander Gepperth; Uwe Handmann; Thomas Kopinski (IHCI, 2017)

A large-scale multi-pose 3D-RGB object database. - Fabian Sachara; Finn Handmann; Nico Cremer; Thomas Kopinski; Alexander Gepperth; Uwe Handmann (IJCNN, 2017)

Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time. - Fabian Sachara; Thomas Kopinski; Alexander Gepperth; Uwe Handmann (ITSC, 2017)

Driver Stress Response to Self-driving Vehicles and Takeover Request - An Expert Assessment. - Paul März; Uwe Handmann (IHSED, 2018)

Relax Yourself - Using Virtual Reality to Enhance Employees' Mental Health and Work Performance. - Carolin Straßmann; Sabrina C. Eimler; Alexander Arntz; Dustin Keßler; Sarah Zielinski; Gabriel Brandenberg; Vanessa Dümpel; Uwe Handmann (CHI Extended Abstracts, 2019)

Person Tracking in Heavy Industry Environments with Camera Images. - Nico Zengeler; Alexander Arntz; Dustin Keßler; Matthias Grimm; Ziyaad Qasem; Marc Jansen; Sabrina C. Eimler; Uwe Handmann (SmartCity360°, 2019)

Hand Gesture Recognition in Automotive Human-Machine Interaction Using Depth Cameras. - Nico Zengeler; Thomas Kopinski; Uwe Handmann (Sensors, 2019)

Navigating a Heavy Industry Environment Using Augmented Reality - A Comparison of Two Indoor Navigation Designs. - Alexander Arntz; Dustin Keßler; Nele Borgert; Nico Zengeler; Marc Jansen; Uwe Handmann; Sabrina C. Eimler (HCI (11), 2020)

A Feature-Fusion Transfer Learning Method as a Basis to Support Automated Smartphone Recycling in a Circular Smart City. - Nermeen Abou Baker; Paul Szabo-Müller; Uwe Handmann (SmartCity360°, 2020)

Battery detection of XRay images using transfer learning. - Nermeen Abou Baker; David Rohrschneider; Uwe Handmann (ESANN, 2022)

Transfer Learning Approach Towards a Smarter Recycling. - Nermeen Abou Baker; Jonas Stehr; Uwe Handmann (ICANN (1), 2022)

Transfer Meta Learning. - Nico Zengeler; Tobias Glasmachers; Uwe Handmann (ICPR, 2022)

An Approach for Smart and cost-Efficient Automated E-Waste Recycling for Small to medium-Sized Devices Using multi-Sensors. - Nermeen Abou Baker; Uwe Handmann (IEEE SENSORS, 2022)

A Transfer Learning Evaluation of Deep Neural Networks for Image Classification. - Nermeen Abou Baker; Nico Zengeler; Uwe Handmann (Mach. Learn. Knowl. Extr., 2022)

Don't waste SAM. - Nermeen Abou Baker; Uwe Handmann (ESANN, 2023)

Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images. - David Rohrschneider; Nermeen Abou Baker; Uwe Handmann (IWANN (1), 2023)

Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks. - Nermeen Abou Baker; David Rohrschneider; Uwe Handmann (Mach. Learn. Knowl. Extr., 2024)

Rethinking Model Selection Beyond ImageNet Accuracy for Waste Classification. - Nermeen Abou Baker; Uwe Handmann (ICPRAM, 2025)