| Traditional saliency reloaded: A good old model in new shape S Frintrop, T Werner, G Martin Garcia Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 144 | 2015 |
| Fast object learning and dual-arm coordination for cluttered stowing, picking, and packing M Schwarz, C Lenz, GM García, S Koo, AS Periyasamy, M Schreiber, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 3347-3354, 2018 | 101 | 2018 |
| Testing the vertical and cyber-physical integration of cognitive robots in manufacturing V Krueger, F Rovida, B Grossmann, R Petrick, M Crosby, A Charzoule, ... Robotics and computer-integrated manufacturing 57, 213-229, 2019 | 49 | 2019 |
| A cognitive approach for object discovery S Frintrop, GM García, AB Cremers 2014 22nd International Conference on Pattern Recognition, 2329-2334, 2014 | 44 | 2014 |
| Adaptive multi-cue 3D tracking of arbitrary objects GM García, DA Klein, J Stückler, S Frintrop, AB Cremers Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012 | 37 | 2012 |
| Saliency-based object discovery on RGB-D data with a late-fusion approach GM García, E Potapova, T Werner, M Zillich, M Vincze, S Frintrop 2015 IEEE International Conference on Robotics and Automation (ICRA), 1866-1873, 2015 | 33 | 2015 |
| Sequence-level object candidates based on saliency for generic object recognition on mobile systems E Horbert, GM García, S Frintrop, B Leibe 2015 IEEE international conference on robotics and automation (ICRA), 127-134, 2015 | 32 | 2015 |
| Kittingbot: A mobile manipulation robot for collaborative kitting in automotive logistics D Pavlichenko, GM García, S Koo, S Behnke Intelligent Autonomous Systems 15: Proceedings of the 15th International …, 2019 | 22 | 2019 |
| Robolink feeder: Reconfigurable bin-picking and feeding with a lightweight cable-driven manipulator S Koo, G Ficht, GM García, D Pavlichenko, M Raak, S Behnke 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 41-48, 2017 | 12 | 2017 |
| A computational framework for attentional 3D object detection GM Garcia, S Frintrop Proceedings of the annual meeting of the cognitive science society 35 (35), 2013 | 11 | 2013 |
| Attention-based detection of unknown objects in a situated vision framework G Martín García, S Frintrop, AB Cremers KI-Künstliche Intelligenz 27, 267-272, 2013 | 8 | 2013 |
| Saliency-guided object candidates based on gestalt principles T Werner, G Martín-García, S Frintrop Computer Vision Systems: 10th International Conference, ICVS 2015 …, 2015 | 6 | 2015 |
| Semantic segmentation priors for object discovery GM García, F Husain, H Schulz, S Frintrop, C Torras, S Behnke 2016 23rd International Conference on Pattern Recognition (ICPR), 549-554, 2016 | 4 | 2016 |
| Attentional Scene-Exploration and Object Discovery in Image and RGB-D Data G Martín García, T Werner, S Frintrop KI-Künstliche Intelligenz 29, 75-81, 2015 | 2 | 2015 |
| A computational model for saliency detection based on probability distributions DA Klein, GM Garcia, S Frintrop PERCEPTION 41, 97-97, 2012 | 1 | 2012 |
| A computational framework for attentional object discovery in RGB-D videos G Martín García, M Pavel, S Frintrop Cognitive processing 18, 169-182, 2017 | | 2017 |
| Project no.: 610917 Project full title: Sustainable and reliable robotics for part handling in manufacturing Project Acronym: STAMINA Deliverable no.: D2. 3 GM García, N Araslanov, S Behnke | | 2016 |
| Saliency Methods for Object Discovery Based on Image and Depth Segmentation G Martin Garcia Universitäts-und Landesbibliothek Bonn, 2016 | | 2016 |
| Computational proto-object detection in 3D data GM García, S Frintrop PERCEPTION 42, 222-222, 2013 | | 2013 |
| Seed size and its relationship with crop establishment, productivity and nutritive value in genotypes of maize for silage G García, A Carballo, G Mendoza, T Vásquez, F González, M Crosby XX International Grassland Conference: Offered papers, 414-414, 2005 | | 2005 |
Simone FrintropComputer Vision Group, Department of Informatics, University of Hamburg, GermanyVerified email at uni-hamburg.de
