Prof. Dr. Cristóbal Curio

Professor

Since November 2014 I am full Professor for Cognitive Systems at the informatics department at Reutlingen University. Before, I have been heading the applied Cognitive Engineering group at the Max Planck Institute for Biological Cybernetics. In industry I led projects in autonomous driving and human-machine interaction design. In our cognitive systems group we develop and employ applications based on Computer-Vision, Computer-Graphics, Virtual-/Augmented Realities and Machine-Learning in combination with methods from applied human perception in order to optimize and test interfaces between emerging technologies and end-users. The main goal is to optimally combine human and machine intelligence.

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Our research focuses on the question of how to build components towards robust human-centered computing. We study on an equal footing empirical experimental and computational approaches, combining both for new components for assistive purposes. The figure sketches the process of this research approach. New insights at the interface of different disciplines allow to move even closer to human-centered system functions. Most of our research is directly aiming towards a better understanding of human perception function and at the same time provides novel constraints for designing assistive systems. At the same time our research approach provides novel tools that support further research.

Samples of our latest research can be found at our publications page and project page. Our work addresses research questions and system design at different interfaces of classical research domains:

1 Interfacing Human Perception and Computer Vision

  • Increasing Situation Awareness with new Detectability Concept
  • Applications of Deep Learning
  • Computational predictors of situation awareness
  • Architectures for semantic scene understanding
  • Interactive Information Retrieval in Large Image Databases
  • Fusion of human and machine intelligence

2 Interfacing Human Perception and Computer Graphics

  • 3D scanning for animation (faces, full bodies, objects)
  • Perceptual real-time interactive 3D animation control
  • Eye-tracking in (virtual) reality
  • Mechanisms of dynamic and emotional face perception
  • Multimodal feedback systems for sensory augmentation and substitution

3 Interfacing Computer Graphics and Computer Vision

  • Scene and sensor simulation models for Vision-Prototyping
  • Motion-Capturing setups (IMU and Marker-based MoCap)
  • Markerless pose estimation
  • Simulation to reality sensor transfer modelling
  • Statistical shape models
  • Affective computing and behavior understanding
  • Learning-based deformable surface tracking
  • Intelligent process automation in the area of Materiomics (Interdisciplinary PhD School)

Selected recent references

RECENT PEER REVIEWED CONFERENCE ARTICLES

  1. Gulde T., Ludl D., Andrejtschik J., Thalji S., Curio C. (2019) RoPose-Real: Real World Dataset Acquisition for Data-Driven Industrial Robot Arm Pose Estimation, IEEE International Conference on Robotics and Automation 2019, May 20-24, Montreal, pp 1-8.

  2. Ludl D., Gulde T., Thalji S., Curio C. (2018) Using simulation to improve human pose estimation for corner cases, 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 3575-3582. (Runner-Up Best Paper Award)

  3. Baulig G., Gulde T., Curio C. (2019) Adapting Egocentric Visual Hand Pose Estimation Towards a Robot-Controlled Exoskeleton. In: Leal-Taixé L., Roth S. (eds) ECCV 2018 Workshops. ECCV 2018. Lecture Notes in Computer Science, vol 11134. Springer

  4. Gulde T., Ludl D., Curio C. (2018) RoPose: CNN-Based 2D Pose Estimation of Industrial Robots, 14th IEEE Conference on Automation Science and Engineering (CASE), Munich, August, pp. 463-470.

  5. Gulde T., Kärcher S., Curio C (2016), Vision-Based SLAM Navigation for Vibro-Tactile Human-Centered Indoor Guidance. In: Hua G., Jégou H. (eds) Computer Vision – ECCV 2016 Workshops. ECCV 2016, Lecture Notes in Computer Science, vol 9914.

  6. Schuster F., Zhang W., Keller C.G., Haueis M., Curio C. (2017) Joint graph optimization towards crowd based mapping, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1-6.

  7. Breidt M., Bülthoff H.H., Curio C. (2016) Accurate 3D head pose estimation under real-world driving conditions: A pilot study, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016, pp. 1261-1268.

RECENT PEER REVIEWED JOURNAL ARTICLES

  1. de la Rosa S., Fademrecht L., Bülthoff H.H., Giese M.A., Curio C. (2018) Two ways to facial expression recognition? Motor and visual information have different effects on facial expression recognition, Journal of Psychological Science. Volume: 29 issue: 8, page(s): 1257-1269

  2. 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): p. 1-19. ISSN: 1534-7362.

  3. Dobs, K., Bülthoff, I., Breidt, M., Vuong, Q., Curio, C., Schultz, J. (2014) Quantifying human sensitivity to spatio-temporal information in dynamic faces. Vision Research 100, pp. 78 – 87.

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Prof. Dr. Cristóbal Curio

Informatik, Building 9, Room 227
Alteburgstraße 150
72762 Reutlingen
Tel: +49 7121 271 - 4005