| Bop: Benchmark for 6d object pose estimation T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 465 | 2018 |
| Pose estimation using local structure-specific shape and appearance context AG Buch, D Kraft, JK Kamarainen, HG Petersen, N Krüger 2013 IEEE international conference on robotics and automation, 2080-2087, 2013 | 122 | 2013 |
| Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings RL Haugaard, AG Buch Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 102 | 2022 |
| Teaching a robot the semantics of assembly tasks TR Savarimuthu, AG Buch, C Schlette, N Wantia, J Roßmann, D Martínez, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (5), 670-692, 2017 | 82 | 2017 |
| Solving peg-in-hole tasks by human demonstration and exception strategies FJ Abu-Dakka, B Nemec, A Kramberger, AG Buch, N Krüger, A Ude Industrial Robot: An International Journal 41 (6), 575-584, 2014 | 78 | 2014 |
| Rotational subgroup voting and pose clustering for robust 3d object recognition AG Buch, L Kiforenko, D Kraft 2017 IEEE International Conference on Computer Vision (ICCV), 4137-4145, 2017 | 77 | 2017 |
| In search of inliers: 3d correspondence by local and global voting A Glent Buch, Y Yang, N Kruger, H Gordon Petersen Proceedings of the IEEE Conference on computer vision and pattern …, 2014 | 70 | 2014 |
| Refining grasp affordance models by experience R Detry, D Kraft, AG Buch, N Krüger, J Piater 2010 IEEE International Conference on Robotics and Automation, 2287-2293, 2010 | 56 | 2010 |
| Local shape feature fusion for improved matching, pose estimation and 3D object recognition AG Buch, HG Petersen, N Krüger SpringerPlus 5, 1-33, 2016 | 48 | 2016 |
| Pointvotenet: Accurate object detection and 6 dof pose estimation in point clouds F Hagelskjær, AG Buch 2020 IEEE International Conference on Image Processing (ICIP), 2641-2645, 2020 | 43 | 2020 |
| A performance evaluation of point pair features L Kiforenko, B Drost, F Tombari, N Krüger, AG Buch Computer Vision and Image Understanding 166, 66-80, 2018 | 42 | 2018 |
| A comparison of feature detectors and descriptors for object class matching A Hietanen, J Lankinen, JK Kämäräinen, AG Buch, N Krüger Neurocomputing 184, 3-12, 2016 | 42 | 2016 |
| Prediction of ICP pose uncertainties using Monte Carlo simulation with synthetic depth images AG Buch, D Kraft 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 33 | 2017 |
| Peg-in-hole assembly under uncertain pose estimation LL Lin, Y Yang, YT Song, B Nemec, A Ude, JA Rytz, AG Buch, N Krüger, ... Proceeding of the 11th world congress on intelligent control and automation …, 2014 | 33 | 2014 |
| Technologies for the fast set-up of automated assembly processes N Krüger, A Ude, HG Petersen, B Nemec, LP Ellekilde, TR Savarimuthu, ... KI-Künstliche Intelligenz 28, 305-313, 2014 | 31 | 2014 |
| Local Point Pair Feature Histogram for Accurate 3D Matching. AG Buch, D Kraft, S Robotics, D Odense BMVC, 143, 2018 | 30 | 2018 |
| Fast robust peg-in-hole insertion with continuous visual servoing R Haugaard, J Langaa, C Sloth, A Buch Conference on Robot Learning, 1696-1705, 2021 | 29 | 2021 |
| Towards robot cell matrices for agile production–SDU Robotics' assembly cell at the WRC 2018 C Schlette, AG Buch, F Hagelskjær, I Iturrate, D Kraft, A Kramberger, ... Advanced Robotics 34 (7-8), 422-438, 2020 | 19 | 2020 |
| Using spatial constraints for fast set-up of precise pose estimation in an industrial setting F Hagelskjær, TR Savarimuthu, N Krüger, AG Buch 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 18 | 2019 |
| A large-scale 3D object recognition dataset T Sølund, AG Buch, N Krüger, H Aanæs 2016 Fourth International Conference on 3D Vision (3DV), 73-82, 2016 | 16 | 2016 |
Norbert KruegerProfessor, University of Southern DenmarkVerified email at mmmi.sdu.dk
