| Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation K Park, T Patten, M Vincze Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 504 | 2019 |
| Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images K Park, T Patten, J Prankl, M Vincze International Conference on Robotics and Automation (ICRA) 2019, 2019 | 54 | 2019 |
| Unsupervised clustering for abnormality detection based on the tri-axial accelerometer MS Lee, JG Lim, KR Park, DS Kwon 2009 ICCAS-SICE, 134-137, 2009 | 38 | 2009 |
| DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping T Patten, K Park, M Vincze Frontiers in Robotics and AI, 2020 | 34 | 2020 |
| Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition MR Loghmani, L Robbiano, M Planamente, K Park, B Caputo, M Vincze IEEE Robotics and Automation Letters 5 (4), 6631-6638, 2020 | 29 | 2020 |
| Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images K Park, T Patten, M Vincze Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 18 | 2020 |
| Swing-free control of mobile harbor crane with accelerometer feedback KR Park, DS Kwon ICCAS 2010, 1322-1327, 2010 | 12 | 2010 |
| A dual-layer user model based cognitive system for user-adaptive service robots SY Koo, K Park, H Kim, DS Kwon 2011 RO-MAN, 59-64, 2011 | 10 | 2011 |
| Warning method and system therefor KR Park US Patent 9,666,076, 2017 | 9 | 2017 |
| Mutual Hypothesis Verification for 6D Pose Estimation of Natural Objects K Park, J Prankl, M Vincze The IEEE International Conference on Computer Vision Workshop (ICCVW), 2192-2199, 2017 | 9 | 2017 |
| Object learning for 6D pose estimation and grasping from RGB-D videos of in-hand manipulation T Patten, K Park, M Leitner, K Wolfram, M Vincze 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 7 | 2021 |
| SyDD: Synthetic Depth Data Randomization for Object Detection using Domain-Relevant Background S Thalhammer, K Park, T Patten, M Vincze, WG Kropatsch Proceedings of the 24th Computer Vision Winter Workshop, 2019 | 6 | 2019 |
| Apparatus and method for horn control using touch pattern KR Park US Patent 8,909,419, 2014 | 5 | 2014 |
| Pose Estimation of Similar Shape Objects using Convolutional Neural Network trained by Synthetic data K Park, J Prankl, M Zillich, M Vincze Proceedings of the OAGM-ARW Joint Workshop 2017, 87--91, 2017 | 4 | 2017 |
| Learn, detect, and grasp objects in real-world settings M Vincze, T Patten, K Park, D Bauer e & i Elektrotechnik und Informationstechnik 137 (6), 324-330, 2020 | 3 | 2020 |
| Self-initialized Visual Servoing for Accurate End-effector Positioning B Neuberger, T Patten, K Park, M Vincze 2020 6th International Conference on Control, Automation and Robotics (ICCAR …, 2020 | 2 | 2020 |
| 미래로봇컴퓨터의 사용자 적응형 자율 서비스 에이전트 구성용， 박기루， 권동수 한국 HCI 학회 학술대회, 381-384, 2011 | 1 | 2011 |
| Robotic manipulator systems and methods involving non-planar and/or deformable support structures C Erdogan, K Park, J Kulick, Z Beck, MN Mistry, L Yu US Patent US11858139B1, 2024 | | 2024 |
| Unsupervised Domain Adaptation Through Inter-Modal Rotation for RGB-D Object Recognition R Loghmani Mohammad, L Robbiano, M Planamente, K Park, B Caputo, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and System (IROS), 2020 | | 2020 |
| 6D pose estimation of objects using limited training data K Park Technische Universität Wien, 2020 | | 2020 |
Markus VinczeTU WienBestätigte E-Mail-Adresse bei acin.tuwien.ac.at
