Nach Vereinbarung (Online & Präsenz)

• Human-Centered Computing (Master)
• Medien- und Kommunikationsinformatik (Bachelor)
• Medizinisch-Technische Informatik (Bachelor)

Prodekan Forschung

• Kognitive Systeme (HUC Master)
• Fortgeschrittene Bilderverarbeitung (HUC Master)
• Angewandte Künstliche Interlligenz (MKI Bachelor)

Forschungsthemen

• Cognitive Architectures, Deep Learning, Experimentalforschung

Forschungsprojekte

• EU Horizon HEIDI - https://heidi-project.eu/
• EU Efre AIDA - https://aida.reutlingen-university.de/
• BMBF KI Delta Learning - https://www.ki-deltalearning.de/

• Seit 2014 Professor für Kognitive Systeme an der Fakultät Informatik, Reutlingen University
• 2013-14 Innovation Management für einen Innovationsdienstleister
• 2014 Habilitation durch die Universität Tübingen
• 2004-2013 Group leader / Post-Doc Cognitive Engineering am Max Planck Institut für biologische Kybernetik
• 1998-2003 Wissenschaftlicher Mitarbeiter am Institut für Neuroinformatik, Ruhr-University Bochum, Promotionsabschluss als Doktor-Ingenieur
• 1992-1998 Studies in Electrical Engineering and Computer Science at Ruhr-University Bochum, Germany and at Purdue University, IN, USA
• 1996/1997 Software und Hardware Entwickler in Houston, Tx, USA 

Bramlage L., Karg M., Curio C., "Plausible Uncertainties for Human Pose Regression", 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023.

Essich M., Rehmann M., Curio C.: Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2023.

Uhlmann Y. , Brunner M., Bramlage L., Scheible J., and Curio C.: Procedural- and Reinforcement-Learning-Based Automation Methods for Analog Integrated Circuit Sizing in the Electrical Design Space, Electronics, vol. 12, no. 2, p. 302, Jan. 2023, doi: 10.3390/electronics12020302.

Uhlmann, Y, Essich, M, Schweikardt, M, Scheible, J, Curio, C: Machine Learning Based Procedural Circuit Sizing and DC Operating Point Prediction. In: SMACD 2021 – Internat. Conf. on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design; 2021. pp. 188-191 

Ludl D, Gulde T, Curio C: Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation. IEEE Transactions on Intelligent Transportation Systems. 2020; 21(9): p. 3990-3999. ISSN: 1558-0016. DOI: 10.1109/TITS.2020.2988504.

Essich M, Ludl D, Gulde T, Curio C:  Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models. In IEEE Internat. Conf. on 3D Vision (3DV); 16-19 Sept. 2019. P. 681-689. DOI: 10.1109/3DV.2019.00080.

Gulde T, Ludl D, Andrejtschik J, Thalji S, Curio C: RoPose-Real:  Real World Dataset Acquisition for Data-Driven Industrial Robot Arm Pose Estimation.  In Proc. of the IEEE  Internat. Conference on Robotics and Automation (ICRA); 20-24 May 2019. P. 4389-4395. DOI: 10.1109/ICRA.2019.8793900. 

Gulde T., Ludl D., Curio C. RoPose: CNN-based 2D Pose Estimation of Industrial Robots. 14th IEEE Conference on Automation Science and Engineering (CASE). 463-470. DOI: 10.1109/COASE.2018.8560564

Ludl D, Gulde T, Curio C: Simple yet efficient real-time pose-based action recognition. In Proceedings of the IEEE Intelligent Transportation Systems Conference (ITSC); 2019. P. 581- 588. DOI: 10.1109/ITSC.2019.8917128. 

de la Rosa S, Fademrecht L, Bülthoff HH, Giese MA, Curio C. Two Ways to Facial Expression Recognition? Motor and Visual Information Have Different Effects on Facial Expression Recognition. Psychol Sci. 2018 Aug;29(8):1257-1269. doi: 10.1177/0956797618765477. Epub 2018 Jun 6. PMID: 29874156.

Chiovetto, E., Curio, C., Endres, D., & Giese, M. (2018). Perceptual integration of kinematic components in the recognition of emotional facial expressions. Journal of Vision, 18(4), Article 13.DOI: doi.org/10.1167/18.4.13