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2020 – today
- 2023
[c28]Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. ICRA 2023: 9162-9168- [c27]Konstantin Röhrl
, Dominik Bauer, Timothy Patten, Markus Vincze:
TrackAgent: 6D Object Tracking via Reinforcement Learning. ICVS 2023: 323-335 - [c26]Daniel Perez Banuelos, Raphael Falque, Timothy Patten, Alen Alempijevic:
Skirting Line Estimation Using Sparse to Dense Deformation. IROS 2023: 4256-4262 - [c25]Stefan Thalhammer, Timothy Patten, Markus Vincze:
COPE: End-to-end trainable Constant Runtime Object Pose Estimation. WACV 2023: 2859-2869 - [i13]Konstantin Röhrl, Dominik Bauer, Timothy Patten, Markus Vincze:
TrackAgent: 6D Object Tracking via Reinforcement Learning. CoRR abs/2307.15671 (2023) - 2022
- [j11]Edith Langer, Timothy Patten, Markus Vincze:
Where Does It Belong? Autonomous Object Mapping in Open-World Settings. Frontiers Robotics AI 9: 828732 (2022) - [j10]Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. IEEE Robotics Autom. Lett. 7(3): 8028-8035 (2022) - [c24]Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. ECCV (33) 2022: 214-229 - [c23]Michael Koller, Timothy Patten, Markus Vincze:
A New VR Kitchen Environment for Recording Well Annotated Object Interaction Tasks. HRI 2022: 629-633 - [c22]Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. WACV 2022: 196-204 - [i12]Dominik Bauer, Timothy Patten, Markus Vincze:
SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. CoRR abs/2201.00239 (2022) - [i11]Stefan Thalhammer, Timothy Patten, Markus Vincze:
COPE: End-to-end trainable Constant Runtime Object Pose Estimation. CoRR abs/2208.08807 (2022) - 2021
- [j9]Alessandro Carfì, Timothy Patten, Yingyi Kuang, Ali Hammoud, Mohamad Alameh, Elisa Maiettini, Abraham Itzhak Weinberg, Diego R. Faria, Fulvio Mastrogiovanni, Guillem Alenyà, Lorenzo Natale, Véronique Perdereau, Markus Vincze, Aude Billard:
Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. Frontiers Robotics AI 8 (2021) - [c21]Dominik Bauer, Timothy Patten, Markus Vincze:
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning. CVPR 2021: 14586-14594 - [c20]Stefan Thalhammer, Markus Leitner, Timothy Patten, Markus Vincze:
PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift. ICRA 2021: 13909-13915 - [c19]Timothy Patten, Alen Alempijevic, Robert Fitch:
Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations. ICVS 2021: 234-244 - [c18]Timothy Patten, Kiru Park, Markus Leitner, Kevin Wolfram, Markus Vincze:
Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation. IROS 2021: 4831-4838 - [c17]Michael Koller, Timothy Patten, Markus Vincze:
Risk-Averse Biased Human Policies with a Robot Assistant in Multi-Armed Bandit Settings. PETRA 2021: 483-488 - [e1]Markus Vincze, Timothy Patten, Henrik I. Christensen, Lazaros Nalpantidis, Ming Liu:
Computer Vision Systems - 13th International Conference, ICVS 2021, Virtual Event, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12899, Springer 2021, ISBN 978-3-030-87155-0 [contents] - [i10]Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme. CoRR abs/2103.06134 (2021) - [i9]Dominik Bauer, Timothy Patten, Markus Vincze:
ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning. CoRR abs/2103.15231 (2021) - [i8]Michael Koller, Timothy Patten, Markus Vincze:
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings. CoRR abs/2104.05334 (2021) - 2020
- [j8]Markus Vincze, Timothy Patten, Kiru Park, Dominik Bauer:
Learn, detect, and grasp objects in real-world settings. Elektrotech. Informationstechnik 137(6): 324-330 (2020) - [j7]Timothy Patten, Kiru Park, Markus Vincze:
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping. Frontiers Robotics AI 7: 120 (2020) - [j6]Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Addressing the Sim2Real Gap in Robotic 3-D Object Classification. IEEE Robotics Autom. Lett. 5(2): 407-413 (2020) - [j5]Dominik Bauer, Timothy Patten, Markus Vincze:
VeREFINE: Integrating Object Pose Verification With Physics-Guided Iterative Refinement. IEEE Robotics Autom. Lett. 5(3): 4289-4296 (2020) - [c16]Dominik Bauer, Timothy Patten, Markus Vincze:
Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects. ECCV Workshops (2) 2020: 648-662 - [c15]Kiru Park, Timothy Patten, Markus Vincze:
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images. ECCV (4) 2020: 656-673 - [c14]Edith Langer, Timothy Patten, Markus Vincze:
Robust and Efficient Object Change Detection by Combining Global Semantic Information and Local Geometric Verification. IROS 2020: 8453-8460 - [i7]Timothy Patten, Kiru Park, Markus Vincze:
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping. CoRR abs/2001.05279 (2020) - [i6]Kiru Park, Timothy Patten, Markus Vincze:
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images. CoRR abs/2005.03717 (2020) - [i5]Stefan Thalhammer, Markus Leitner, Timothy Patten, Markus Vincze:
PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift. CoRR abs/2010.16117 (2020)
2010 – 2019
- 2019
- [j4]Graeme Best, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, Robert Fitch:
Dec-MCTS: Decentralized planning for multi-robot active perception. Int. J. Robotics Res. 38(2-3) (2019) - [c13]Stefan Thalhammer, Timothy Patten, Markus Vincze:
SyDPose: Object Detection and Pose Estimation in Cluttered Real-World Depth Images Trained using Only Synthetic Data. 3DV 2019: 106-115 - [c12]Matthias Hirschmanner, Christiana Tsiourti, Timothy Patten, Markus Vincze:
Virtual Reality Teleoperation of a Humanoid Robot Using Markerless Human Upper Body Pose Imitation. Humanoids 2019: 259-265 - [c11]Kiru Park, Timothy Patten, Markus Vincze:
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. ICCV 2019: 7667-7676 - [c10]Simon Schreiberhuber, Johann Prankl, Timothy Patten, Markus Vincze:
ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction. ICRA 2019: 140-146 - [c9]Markus Suchi, Timothy Patten, David Fischinger, Markus Vincze:
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. ICRA 2019: 6678-6684 - [c8]Kiru Park, Timothy Patten, Johann Prankl, Markus Vincze:
Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. ICRA 2019: 7207-7213 - [c7]Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution. ICRA 2019: 7262-7268 - [c6]Dominik Bauer, Timothy Patten, Markus Vincze:
Monte Carlo Tree Search on Directed Acyclic Graphs for Object Pose Verification. ICVS 2019: 386-396 - [c5]Sergey V. Alexandrov, Timothy Patten, Markus Vincze:
Leveraging Symmetries to Improve Object Detection and Pose Estimation from Range Data. ICVS 2019: 397-407 - [i4]Markus Suchi, Timothy Patten, Markus Vincze:
EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. CoRR abs/1902.01626 (2019) - [i3]Kiru Park, Timothy Patten, Markus Vincze:
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. CoRR abs/1908.07433 (2019) - [i2]Dominik Bauer, Timothy Patten, Markus Vincze:
VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement. CoRR abs/1909.05730 (2019) - [i1]Jean-Baptiste Weibel, Timothy Patten, Markus Vincze:
Addressing the Sim2Real Gap in Robotic 3D Object Classification. CoRR abs/1910.12585 (2019) - 2018
- [j3]Timothy Patten, Wolfram Martens, Robert Fitch:
Monte Carlo planning for active object classification. Auton. Robots 42(2): 391-421 (2018) - [c4]Timothy Patten, Michael Zillich, Markus Vincze:
Action Selection for Interactive Object Segmentation in Clutter. IROS 2018: 6297-6304 - [c3]Mohammad Reza Loghmani, Timothy Patten, Markus Vincze:
Towards Socially Assistive Robots for Elderly: An End-to-end Object Search Framework. PerCom Workshops 2018: 890-895 - 2017
- [b1]Tim Patten:
Active Object Classification from 3D Range Data with Mobile Robots. University of Sydney, Australia, 2017 - 2016
- [j2]David Ball, Ben Upcroft, Gordon F. Wyeth, Peter Corke, Andrew English, Patrick Ross, Tim Patten, Robert Fitch, Salah Sukkarieh, Andrew Bate:
Vision-based Obstacle Detection and Navigation for an Agricultural Robot. J. Field Robotics 33(8): 1107-1130 (2016) - [j1]Tim Patten, Michael Zillich, Robert Fitch, Markus Vincze, Salah Sukkarieh:
Viewpoint Evaluation for Online 3-D Active Object Classification. IEEE Robotics Autom. Lett. 1(1): 73-81 (2016) - [c2]Graeme Best, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, Robert Fitch:
Decentralised Monte Carlo Tree Search for Active Perception. WAFR 2016: 864-879 - 2013
- [c1]David Ball, Patrick Ross, Andrew English, Tim Patten, Ben Upcroft, Robert Fitch, Salah Sukkarieh, Gordon F. Wyeth, Peter Corke:
Robotics for Sustainable Broad-Acre Agriculture. FSR 2013: 439-453
Coauthor Index
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