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 | 532 | 2019 |
Dec-MCTS: Decentralized planning for multi-robot active perception G Best, OM Cliff, T Patten, RR Mettu, R Fitch The International Journal of Robotics Research 38 (2-3), 316-337, 2019 | 235 | 2019 |
Vision‐based obstacle detection and navigation for an agricultural robot D Ball, B Upcroft, G Wyeth, P Corke, A English, P Ross, T Patten, R Fitch, ... Journal of field robotics 33 (8), 1107-1130, 2016 | 177 | 2016 |
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets M Suchi, T Patten, D Fischinger, M Vincze International Conference on Robotics and Automation, 6678-6684, 2019 | 114 | 2019 |
Human cortical traveling waves: dynamical properties and correlations with responses TM Patten, CJ Rennie, PA Robinson, P Gong PLoS One 7 (6), e38392, 2012 | 95 | 2012 |
Robotics for sustainable broad-acre agriculture D Ball, P Ross, A English, T Patten, B Upcroft, R Fitch, S Sukkarieh, ... Field and Service Robotics: Results of the 9th International Conference, 439-453, 2015 | 86 | 2015 |
Reagent: Point cloud registration using imitation and reinforcement learning D Bauer, T Patten, M Vincze Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 58 | 2021 |
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, 7207-7213, 2019 | 57 | 2019 |
Viewpoint Evaluation for Online 3D Active Object Classification T Patten, M Zillich, R Fitch, M Vincze, S Sukkarieh Robotics and Automation Letters 1 (1), 73-81, 2016 | 55 | 2016 |
Monte Carlo planning for active object classification T Patten, W Martens, R Fitch Autonomous Robots 42 (2), 391-421, 2018 | 53 | 2018 |
Decentralised Monte Carlo tree search for active perception G Best, OM Cliff, T Patten, RR Mettu, R Fitch Algorithmic Foundations of Robotics XII: Proceedings of the Twelfth Workshop …, 2020 | 51 | 2020 |
Dgcm-net: dense geometrical correspondence matching network for incremental experience-based robotic grasping T Patten, K Park, M Vincze Frontiers in Robotics and AI 7, 120, 2020 | 36 | 2020 |
Virtual reality teleoperation of a humanoid robot using markerless human upper body pose imitation M Hirschmanner, C Tsiourti, T Patten, M Vincze 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 30 | 2019 |
Pyrapose: Feature pyramids for fast and accurate object pose estimation under domain shift S Thalhammer, M Leitner, T Patten, M Vincze 2021 IEEE International Conference on Robotics and Automation (ICRA), 13909 …, 2021 | 26 | 2021 |
SyDPose: Object detection and pose estimation in cluttered real-world depth images trained using only synthetic data S Thalhammer, T Patten, M Vincze 2019 International Conference on 3D Vision (3DV), 106-115, 2019 | 25 | 2019 |
Robust and efficient object change detection by combining global semantic information and local geometric verification E Langer, T Patten, M Vincze 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 23 | 2020 |
ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction S Schreiberhuber, J Prankl, T Patten, M Vincze International Conference on Robotics and Automation, 140-146, 2019 | 21 | 2019 |
Hand-object interaction: From human demonstrations to robot manipulation A Carfì, T Patten, Y Kuang, A Hammoud, M Alameh, E Maiettini, ... Frontiers in Robotics and AI 8, 714023, 2021 | 19 | 2021 |
VeREFINE: Integrating object pose verification with physics-guided iterative refinement D Bauer, T Patten, M Vincze IEEE Robotics and Automation Letters 5 (3), 4289-4296, 2020 | 19 | 2020 |
Neural object learning for 6d pose estimation using a few cluttered images K Park, T Patten, M Vincze European Conference on Computer Vision, 656-673, 2020 | 18 | 2020 |