Main Page

Visual Cognitive Systems Laboratory

University of Ljubljana
Faculty of Computer and information Science

Večna pot 113
SI-1000 Ljubljana

tel.: +386 1 479 8245

About laboratory

The Visual Cognitive Systems Laboratory is involved in basic research in visually enabled cognitive systems, with emphasis on visual learning and recognition.

Research focuses on various theories about requirements, architectures, forms of representation, and varieties of mechanisms relevant to integration and control of vision systems.

Applications include tracking, learning, recognition and categorisation of objects and scenes in visual cognitive tasks, such as surveillance and smart vision-based positioning as well as in other applications of cognitive systems, such as mobile robots and cognitive assistants.


January 2018 - Discriminative Correlation Filter Tracker with Channel and Spatial Reliability accepted to IJCV.

December 2017 - our work was selected as one of 10 Exceptional research achievements of University of Ljubljana in 2017.

December 2017 - Vicos member Alan Lukežič received Faculty of computer science student research award for his work on deformable parts models for visual tracking.

December 2017 - Vicos member Borja Bovcon received faculty Prešeren's award for his work on autonomous vessels.

July 2017 - Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking accepted to International Conference on Computer Vision, ICCV2017.

July 2017 - Deformable Parts Correlation Filters for Robust Visual Tracking accepted to IEEE Transactions on Cybernetics.

July 2017 - a paper accepted to SIPA2017.

April 2017 - Project ViAMaRo, an ARRS basic research project on robust computer vision for unmanned surface vehicles, accepted! The project received top scored in computer science and only top two were accepted in Slovenia!.

March 2017 - Learning part-based spatial models for laser-vision-based room categorization accepted to International Journal of Robotics Research.

March 2017 - Discriminative Correlation Filter with Channel and Spatial Reliability accepted to Computer vision and pattern recognition, CVPR2017.

October 2016 - The laboratory co-organized the Visual Object Tracking Challenge workshop (VOT2016) at ECCV2016 in Amsterdam, Netherlands.