Group leader

Dr.-Ing. Cristobal Curio
Phone: +49 7121 271 4005
Cognitive Systems at Opens external link in new windowReutlingen University


Group members

CE Overview Poster


04/11/2013 New HMI detectability concept supporting situational awareness featured in IEEE Opens external link in new windowIntelligent Transportation Systems Magazine.
27/09/2013 Computational perception article on view-dependencies of social interaction understanding Opens external link in new windowFrontiers Perception.
26/08/2013 Congratulations to Christian Herdtweck on his successful PhD defense!
29/06/2013 Our approach on Opens external link in new window3D driver head pose monitoring will be presented at Opens external link in new windowTP.CG.2013 conference at Eurographics UK.
24/06/2013 Our cognitive vision architecture on efficient monocular car viewpoint estimation [Opens external link in new windowpdf] has been presented at the Opens external link in new windowIntelligent Vehicles conference.
10/06/2013 We participated in Opens external link in new windowEU-FET-Open (Future and Emerging Technologies) project TANGO. The project has been evaluated as excellent.
20/01/2013  Visual cues determining emotional dynamic facial expression recognition (Opens external link in new windowJournal of Vision)
13/09/2012 Opens external link in new windowBest Conference Paper Award at Opens external link in new windowIEEE conference on Multisensor Fusion and Information Integration (MFI) 2012.
06/03/2012  Enhancing drivers' environment perception presented as Opens external link in new windowtalk (best paper finalist) and novel monocular visual odometry approach at Intelligent Vehicles conference.
05/10/2011 Public release of medial feature grouping and superpixel segmentation Opens external link in new windowcode.
09/ 2011 HMI system for image retrieval presented at INTERACT 2011 conference.
03/2011 Paper presentation at IEEE Automatic Face & Gesture Conference, Santa Barbara. Watch our latest facial analysis video with the Microsoft Kinect sensor on youtube.
10/2010 Our book on Dynamic Faces: Insights from Experiments and Computation has appeared at MIT press.
10/2010 Two SIGGRAPH Asia 2010 Technical Sketches accepted for presentation.
05/2010 Paper at CVPR Conference Workshop on Feature Grouping.
09/2009 We won a DAGM paper prize for work on automatic 3D surface tracking for the generation of a 4D morphable face model. Conference of the German Association for Pattern Recognition (DAGM).


WS 2012/13 Opens external link in new windowMedizinische Bildverarbeitung at the Computer Science Department, Tübingen.
SS 2012 Opens external link in new windowMachine Learning II at the Graduate School of Neural Information Processing, Tübingen.
WS 2010/11 Statistical Methods in Artificial Intelligence at the Computer Science Department, Tübingen.
WS 2009/10 Advanced Topics in Machine Learning at the Computer Science Department, Tübingen.

External activities

Opens external link in new windowKI-2013 From Research to Innovation and Practical Applications (Program Committee)
Opens external link in new windowIntelligent Vehicles 2013 PC Associate Editor
WIAF-2012 Workshop Opens external link in new windowWhat's in a face? at ECCV, technical PC.
Associate Editor
06/2011 Organization of workshop on interactive pedestrian behavior analysis and synthesis at IEEE sponsored Intelligent Vehicles, Baden-Baden, June 5, Final program.
 PC at 1st IEEE workshop on Information Theory in Computer Vision and Pattern Recognition at ICCV 2011
Program Committee
Area Chair
COSYNE conference workshop


Opens external link in new windowCenter for Integrated Neuroscience, Section Computational Motorics (Prof. Dr. M.A. Giese)
Opens external link in new windowAutonomous Systems Lab ETHZ (Prof. Dr. R. Siegwart)
Opens external link in new windowZentrum für Neurowissenschaften Zürich (Prof. Dr. med. A. Luft)
Opens external link in new windowMPI for Intelligent Systems (Prof. M. Black)

Five most recent Publications

Herdtweck C and Wallraven C (December-2013) Estimation of the Horizon in Photographed Outdoor Scenes by Human and Machine PLoS ONE 8(12) 1-14.
Dobricki M and de la Rosa S (December-2013) The structure of conscious bodily self-perception during full-body illusions PLoS ONE 8(12) 1-9.
Dobs K, Schultz J, Bülthoff I and Gardner JL (November-10-2013): Attending to expression or identity of dynamic faces engages different cortical areas, 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), San Diego, CA, USA.
Nieuwenhuizen FM, Chuang LL and Bülthoff HH (November-2013) myCopter: Enabling Technologies for Personal Aerial Transportation Systems: Project status after 2.5 years, 5. Internationale HELI World Konferenz "HELICOPTER Technologies", "HELICOPTER Operations" at the International Aerospace Supply Fair AIRTEC 2013, Airtec GmbH, Frankfurt a. Main, Germany, 1-3.
Bieg H-J (October-1-2013) Abstract Talk: Oculomotor Decisions: Saccadic or Smooth Response?, 14th Conference of Junior Neuroscientists of Tübingen (NeNa 2013): Do the Results, Justify the Methods, Schramberg, Germany 19.

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Download Software, Tools and Data

Medial Feature extraction based on Gradient Vector Flow

Feature extraction pipeline (Curio 2004). From left to right: Original image, gradient vector flow field on edge map, flux of the gradient vector field, thresholded and grouped shape centered components.

Superpixel image segmentation based on medial Features

Engel et al 2009
DOWNLOAD CODE     Project page
If you use this code or found it helpful please cite this publication:


D. Engel, L. Spinello, R. Triebel, R.Siegwart, H.H. B¸lthoff and C. Curio. Medial Features for Superpixel Segmentation. Proceedings of the Eleventh IAPR Conference on Machine Vision Applications (MVA 2009), pages 248-252, 2009. 

Bibtex code:
author = {Engel, D. and Spinello L. and Triebel R. and Siegwart R. and B¸lthoff,
H.H. and Curio, C.},
title = {Medial Features for Superpixel Segmentation},
booktitle = {Proceedings of the Eleventh IAPR Conference on Machine Vision Applications (MVA 2009)},
year = {2009},
pages = {248-252},
month = {May}}

Feature grouping based on Gradient Vector Flow fields

Engel and Curio 2010
DOWNLOAD CODE      Project page
If you use this code or found this code helpful please cite this publication:

D. Engel and C. Curio. Shape Centered Interest Points for Feature Grouping. In Proceedings Conference on Computer Vision and Patten Recognition (Workshops), pages 1-8, 2010. 

Bibtex code:
   author = {Engel, D. and Curio, C.},
title = {Shape Centered Interest Points for Feature Grouping},
booktitle = {CVPR 2010 Workshop on Perceptual Organization in Computer Vision},
year = {2010}


MATLAB Psychophysics Toolbox-3 (PTB3)

Our group and many others of the institute make heavily use of the features of MATLAB Psychophysics Toolbox 3. The problems that we are studying drove many recent developments and improvements of this toolbox. In particular, most of the recent features in PTB3 (e.g. 3D graphics scripting, GPGPU processing, audio, timing and display management) have been developed and integrated by Opens external link in new windowMario Kleiner, who is maintainer of this toolbox as well.

MATLAB Psychophysics Toolbox 3

XML Parser for dynamic scene database KITTI

Initiates file downloadXML Parser (Python) allowing to read in labeled data of the Opens external link in new windowKITTI vision benchmark database.


6. Engel D and Curio C (June-2010) Shape Centered Interest Points for Feature Grouping, CVPR 2010 Workshop on Perceptual Organization in Computer Vision (POCV 2010), IEEE, Piscataway, NJ, USA, 9-16.
pdfCiteID: 6424
5. Engel D and Curio C (January-2010): Towards robust scene analysis: A versatile mid-level feature framework, 4th International Conference on Cognitive Systems (CogSys 2010), Zürich, Switzerland.
pdfCiteID: 6244
4. Engel D, Spinello L, Triebel R, Siegwart R, Bülthoff HH and Curio C (May-2009) Medial Features for Superpixel Segmentation, Eleventh IAPR Conference on Machine Vision Applications (MVA 2009), MVA Organizing Committee, Tokyo, Japan, 248-252.
pdfCiteID: 5760
3. Engel D and Curio C (December-2008) Scale-invariant medial features based on gradient vector flow fields, 19th International Conference on Pattern Recognition (ICPR 2008), IEEE Service Center, Piscataway, NJ, USA, 1-4.
pdfCiteID: 5257
2. Kleiner M, Brainard D and Pelli D (August-2007) Abstract Talk: What's new in Psychtoolbox-3?, 30th European Conference on Visual Perception, Arezzo, Italy, Perception, 36(ECVP Abstract Supplement) 14.
pdfCiteID: 5490
1. Curio C: A learning-based computer vision approach for the inference of articulated motion, Institut für Neuroinformatik, Ruhr-Universität Bochum, (2004). PhD thesis
CiteID: 2829

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Last updated: Friday, 23.02.2018