Thomas Kopinski

31 papers B 4C 4Misc 1Journal 5Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study. CoRR Michael Walters, Rafael Kaufmann, Justice Sefas, Thomas Kopinski
2024	—	`conf`	Bias Unveiled: Enhancing Fairness in German Word Embeddings with Large Language Models. SPECOM (2) Yasser Saeid, Thomas Kopinski
2024	J	`jnl`	Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language. CoRR Yasser Saeid, Felix Neubürger, Stefanie Krügl, Helena Hüster, Thomas Kopinski, Ralf Lanwehr
2023	—	`conf`	A Novel Architecture for Robust Explainable AI Approaches in Critical Object Detection Scenarios Based on Bayesian Neural Networks. xAI (2) Daniel Gierse, Felix Neubürger, Thomas Kopinski
2023	—	`conf`	Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videos. NLDL Felix Neubürger, Daniel Gierse, Thomas Kopinski
2022	—	`conf`	Coupled Finite-Element-Method-Simulations for Real-Time-Process Monitoring in Metal Forming Digital-Twins. ICCMA Felix Neubürger, Joachim Arens, Matthias Vollmer, Thomas Kopinski, Matthias Hermes
2021	C	`conf`	Disease Prediction Based on Individual's Medical History Using CNN. ICMLA Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung
2019	J	`jnl`	Hand Gesture Recognition in Automotive Human-Machine Interaction Using Depth Cameras. Sensors Nico Zengeler, Thomas Kopinski, Uwe Handmann
2018	—	`conf`	An Energy-Based Convolutional SOM Model with Self-adaptation Capabilities. ICANN (2) Alexander Gepperth, Ayanava Sarkar, Thomas Kopinski
2017	B	`conf`	A large-scale multi-pose 3D-RGB object database. IJCNN Fabian Sachara, Finn Handmann, Nico Cremer, Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2017	—	`conf`	Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM. IHCI Ayanava Sarkar, Alexander Gepperth, Uwe Handmann, Thomas Kopinski
2017	—	`conf`	Free-hand gesture recognition with 3D-CNNs for in-car infotainment control in real-time. ITSC Fabian Sachara, Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2016	—	`conf`	A Deep Learning Approach for Hand Posture Recognition from Depth Data. ICANN (2) Thomas Kopinski, Fabian Sachara, Alexander Gepperth, Uwe Handmann
2016	C	`conf`	A Deep Learning Approach to Mid-air Gesture Interaction for Mobile Devices from Time-of-Flight Data. MobiQuitous Thomas Kopinski, Fabian Sachara, Uwe Handmann
2016	J	`jnl`	A pragmatic approach to multi-class classification. CoRR Thomas Kopinski, Stéphane Magand, Uwe Handmann, Alexander Rainer Tassilo Gepperth
2016	J	`jnl`	A simple technique for improving multi-class classification with neural networks. CoRR Thomas Kopinski, Alexander Rainer Tassilo Gepperth, Uwe Handmann
2016	C	`conf`	A time-of-flight-based hand posture database for human-machine interaction. ICARCV Thomas Kopinski, Alexander R. T. Gepperth, Uwe Handmann
2016	—	`—`	Neural Learning Methods for Human-Computer Interaction. (Méthodes d'apprentissage pour l'interaction homme-machine). Thomas Kopinski
2016	—	`conf`	Touch versus mid-air gesture interfaces in road scenarios - measuring driver performance degradation. ITSC Thomas Kopinski, Jan Eberwein, Stefan Geisler, Uwe Handmann
2016	Misc	`conf`	Touchless interaction for future mobile applications. ICNC Thomas Kopinski, Uwe Handmann
2016	—	`conf`	User Expectations on Touchless Gestures in Vehicles. MuC (Workshopband) Paul März, Daniel Schwahlen, Stefan Geisler, Thomas Kopinski
2015	—	`conf`	A Real-Time Applicable Dynamic Hand Gesture Recognition Framework. ITSC Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2015	B	`conf`	A light-weight real-time applicable hand gesture recognition system for automotive applications. Intelligent Vehicles Symposium Thomas Kopinski, Stephane Magand, Alexander Rainer Tassilo Gepperth, Uwe Handmann
2015	B	`conf`	A pragmatic approach to multi-class classification. IJCNN Thomas Kopinski, Stephane Magand, Uwe Handmann, Alexander Rainer Tassilo Gepperth
2015	B	`conf`	A simple technique for improving multi-class classification with neural networks. ESANN Thomas Kopinski, Alexander Gepperth, Uwe Handmann
2015	—	`conf`	Gesture-based human-machine interaction for assistance systems. ICIA Thomas Kopinski, Stefan Geisler, Uwe Handmann
2014	—	`conf`	A real-time applicable 3D gesture recognition system for automobile HMI. ITSC Thomas Kopinski, Stefan Geisler, Louis-Charles Caron, Alexander Gepperth, Uwe Handmann
2014	—	`conf`	Demonstrator für ein handgestenbasiertes Interaktionskonzept im Automobil. MuC (Workshopband) Thomas Kopinski, Stefan Geisler, Uwe Handmann
2014	—	`conf`	Multimodal space representation driven by self-evaluation of predictability. ICDL-EPIROB Mathieu Lefort, Thomas Kopinski, Alexander Gepperth
2014	C	`conf`	Neural Network Based Data Fusion for Hand Pose Recognition with Multiple ToF Sensors. ICANN Thomas Kopinski, Alexander Rainer Tassilo Gepperth, Stefan Geisler, Uwe Handmann
2013	—	`conf`	Contactless Interaction for Automotive Applications. MuC (Workshopband) Thomas Kopinski, Stefan Geisler, Uwe Handmann