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Thomas Kopinski

Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras
2018 · Nico Zengeler, Thomas Kopinski, et al. · Sensors · 94
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Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM
2017 · Ayanava Sarkar, Alexander Gepperth, et al. · Lecture notes in computer science · 22
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Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time
2017 · Fabian Sachara, Thomas Kopinski, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 21
Das hybride Büro: Gestaltungsansätze für New Work-Arbeitsumgebungen anhand eines Fallbeispiels
2022 · Cornelia Reindl, Ralf Lanwehr, et al. · Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO) · 14
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A real-time applicable 3D gesture recognition system for automobile HMI
2014 · Thomas Kopinski, Stefan Geisler, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 12
Gesture-based human-machine interaction for assistance systems
2015 · Thomas Kopinski, Stefan Geisler, et al. · IEEE International Conference on Information and Automation (ICIA) · 11
Touch versus mid-air gesture interfaces in road scenarios - measuring driver performance degradation
2016 · Thomas Kopinski, Jan Eberwein, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 10
A light-weight real-time applicable hand gesture recognition system for automotive applications
2015 · Thomas Kopinski, Stephane Magand, et al. · IEEE Intelligent Vehicles Symposium · 10
Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors
2014 · Thomas Kopinski, Alexander Gepperth, et al. · Lecture notes in computer science · 10
Disease Prediction Based on Individual’s Medical History Using CNN
2021 · Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, et al. · International Conference on Machine Learning and Applications · 9
AgentFusion: A Multi-Agent Approach to Accurate Text Generation
2024 · Yasser Saeid, Thomas Kopinski · International Conference on Electrical and Computer Engineering Researches (ICECER) · 7
A time-of-flight-based hand posture database for human-machine interaction
2016 · Thomas Kopinski, Alexander Gepperth, et al. · International Conference on Control, Automation, Robotics and Vision (ICARCV) · 6
Touchless interaction for future mobile applications
2016 · Thomas Kopinski, Uwe Handmann · 2012 International Conference on Computing, Networking and Communications (ICNC) · 6
Coupled Finite-Element-Method-Simulations for Real-Time-Process Monitoring in Metal Forming Digital-Twins
2022 · Felix Neuburger, Joachim Arens, et al. · International Conference on Control, Mechatronics and Automation (ICCMA) · 5
User Expectations on Touchless Gestures in Vehicles
2016 · März, Paul, Schwahlen, Daniel, et al. · Gesellschaft für Informatik (GI) · 5
Time-of-flight based multi-sensor fusion strategies for hand gesture recognition
2014 · Thomas Kopinski, Darius Malysiak, et al. · IEEE International Symposium on Computational Intelligence and Informatics (CINTI) · 5
A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data
2016 · Thomas Kopinski, Fabian Sachara, et al. · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · 4
A simple technique for improving multi-class classification with neural networks
2016 · Kopinski, Thomas, Gepperth, Alexander, et al. · arXiv (Cornell University) · 4
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A Real-Time Applicable Dynamic Hand Gesture Recognition Framework
2015 · Thomas Kopinski, Alexander Gepperth, et al. · IEEE International Conference on Intelligent Transportation Systems (ITSC) · 4
Multimodal space representation driven by self-evaluation of predictability
2014 · Mathieu Lefort, Thomas Kopinski, et al. · IEEE International Conference on Development and Learning (ICDL) · 4
Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study
2025 · Walters, Michael, Kaufmann, Rafael, et al. · arXiv (Cornell University) · 3
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A Novel Architecture for Robust Explainable AI Approaches in Critical Object Detection Scenarios Based on Bayesian Neural Networks
2023 · Daniel Gierse, Felix Neubürger, et al. · Communications in computer and information science · 3
A Deep Learning Approach for Hand Posture Recognition from Depth Data
2016 · Thomas Kopinski, Fabian Sachara, et al. · Lecture notes in computer science · 3
Harnessing Large Language Models: Fine-Tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language
2024 · Yasser Saeid, Felix Neüburger, et al. · IEEE Conference on Information Technology and Data Science (CITDS) · 2
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TimeGAN for Data-Driven AI in High-Dimensional Industrial Data
2024 · Felix Neubürger, Yasser Saeid, et al. · Lecture notes in networks and systems · 2
Works count: 43
Citation count: 283
H-index: 9
I10-index: 9
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