Ekaterina Potapova

According to our database1, Ekaterina Potapova authored at least 13 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Survey of recent advances in 3D visual attention for robotics.
Int. J. Robotics Res., 2017

2015
Saliency-based object discovery on RGB-D data with a late-fusion approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Attention-driven object detection and segmentation of cluttered table scenes using 2.5D symmetry.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Incremental attention-driven object segmentation.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Workshop on attention models in robotics: visual systems for better HRI.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

2013
Incrementally biasing visual search using natural language input.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Situiertes Sehen für bessere Erkennung von Objekten und Objektklassen.
Elektrotech. Informationstechnik, 2012

Attention driven grasping for clearing a heap of objects.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Attention-driven segmentation of cluttered 3D scenes.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Local 3D Symmetry for Visual Saliency in 2.5D Point Clouds.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Learning What Matters: Combining Probabilistic Models of 2D and 3D Saliency Cues.
Proceedings of the Computer Vision Systems - 8th International Conference, 2011

2010
Towards Ontology-Based Methodology for Requirements Formalization.
Proceedings of the Perspectives in Business Informatics Research, 2010

2009
Using ontology for implementing enterprise resource planning systems.
Proceedings of the 7th IEEE/ACS International Conference on Computer Systems and Applications, 2009


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