Robotics for Sustainable Broad-Acre Agriculture. - David Ball; Patrick Ross; Andrew English; Tim Patten; Ben Upcroft; Robert Fitch; Salah Sukkarieh; Gordon F. Wyeth; Peter Corke (FSR, 2013)

Decentralised Monte Carlo Tree Search for Active Perception. - Graeme Best; Oliver M. Cliff; Timothy Patten; Ramgopal R. Mettu; Robert Fitch (WAFR, 2016)

Vision-based Obstacle Detection and Navigation for an Agricultural Robot. - David Ball; Ben Upcroft; Gordon F. Wyeth; Peter Corke; Andrew English; Patrick Ross; Tim Patten; Robert Fitch; Salah Sukkarieh; Andrew Bate (J. Field Robotics, 2016)

Viewpoint Evaluation for Online 3-D Active Object Classification. - Tim Patten; Michael Zillich; Robert Fitch; Markus Vincze; Salah Sukkarieh (IEEE Robotics Autom. Lett., 2016)

Active Object Classification from 3D Range Data with Mobile Robots. - Tim Patten (2017)

Action Selection for Interactive Object Segmentation in Clutter. - Timothy Patten; Michael Zillich; Markus Vincze (IROS, 2018)

Towards Socially Assistive Robots for Elderly: An End-to-end Object Search Framework. - Mohammad Reza Loghmani; Timothy Patten; Markus Vincze (PerCom Workshops, 2018)

Monte Carlo planning for active object classification. - Timothy Patten; Wolfram Martens; Robert Fitch (Auton. Robots, 2018)

SyDPose: Object Detection and Pose Estimation in Cluttered Real-World Depth Images Trained using Only Synthetic Data. - Stefan Thalhammer; Timothy Patten; Markus Vincze (3DV, 2019)

Virtual Reality Teleoperation of a Humanoid Robot Using Markerless Human Upper Body Pose Imitation. - Matthias Hirschmanner; Christiana Tsiourti; Timothy Patten; Markus Vincze (Humanoids, 2019)

Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation. - Kiru Park; Timothy Patten; Markus Vincze (ICCV, 2019)

Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images. - Kiru Park; Timothy Patten; Johann Prankl; Markus Vincze (ICRA, 2019)

ScalableFusion: High-resolution Mesh-based Real-time 3D Reconstruction. - Simon Schreiberhuber; Johann Prankl; Timothy Patten; Markus Vincze (ICRA, 2019)

EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. - Markus Suchi; Timothy Patten; David Fischinger; Markus Vincze (ICRA, 2019)

Robust 3D Object Classification by Combining Point Pair Features and Graph Convolution. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ICRA, 2019)

Leveraging Symmetries to Improve Object Detection and Pose Estimation from Range Data. - Sergey V. Alexandrov; Timothy Patten; Markus Vincze (ICVS, 2019)

Monte Carlo Tree Search on Directed Acyclic Graphs for Object Pose Verification. - Dominik Bauer; Timothy Patten; Markus Vincze (ICVS, 2019)

EasyLabel: A Semi-Automatic Pixel-wise Object Annotation Tool for Creating Robotic RGB-D Datasets. - Markus Suchi; Timothy Patten; Markus Vincze (CoRR, 2019)

VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement. - Dominik Bauer; Timothy Patten; Markus Vincze (CoRR, 2019)

Addressing the Sim2Real Gap in Robotic 3D Object Classification. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (CoRR, 2019)

Dec-MCTS: Decentralized planning for multi-robot active perception. - Graeme Best; Oliver M. Cliff; Timothy Patten; Ramgopal R. Mettu; Robert Fitch (Int. J. Robotics Res., 2019)

Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects. - Dominik Bauer; Timothy Patten; Markus Vincze (ECCV Workshops (2), 2020)

Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images. - Kiru Park; Timothy Patten; Markus Vincze (ECCV (4), 2020)

Robust and Efficient Object Change Detection by Combining Global Semantic Information and Local Geometric Verification. - Edith Langer; Timothy Patten; Markus Vincze (IROS, 2020)

Learn, detect, and grasp objects in real-world settings. - Markus Vincze; Timothy Patten; Kiru Park; Dominik Bauer (Elektrotech. Informationstechnik, 2020)

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping. - Timothy Patten; Kiru Park; Markus Vincze (Frontiers Robotics AI, 2020)

VeREFINE: Integrating Object Pose Verification With Physics-Guided Iterative Refinement. - Dominik Bauer; Timothy Patten; Markus Vincze (IEEE Robotics Autom. Lett., 2020)

Addressing the Sim2Real Gap in Robotic 3-D Object Classification. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (IEEE Robotics Autom. Lett., 2020)

ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning. - Dominik Bauer; Timothy Patten; Markus Vincze (CVPR, 2021)

PyraPose: Feature Pyramids for Fast and Accurate Object Pose Estimation under Domain Shift. - Stefan Thalhammer; Markus Leitner; Timothy Patten; Markus Vincze (ICRA, 2021)

Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations. - Timothy Patten; Alen Alempijevic; Robert Fitch (ICVS, 2021)

Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation. - Timothy Patten; Kiru Park; Markus Leitner; Kevin Wolfram; Markus Vincze (IROS, 2021)

Risk-Averse Biased Human Policies with a Robot Assistant in Multi-Armed Bandit Settings. - Michael Koller 002; Timothy Patten; Markus Vincze (PETRA, 2021)

Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (CoRR, 2021)

Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings. - Michael Koller 002; Timothy Patten; Markus Vincze (CoRR, 2021)

Hand-Object Interaction: From Human Demonstrations to Robot Manipulation. - 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; et al. (Frontiers Robotics AI, 2021)

Virtual Annotated Cooking Environment Dataset. - Michael Koller 002; Timothy Patten; Markus Vincze (TU Wien Research Data, 2021)

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. - Simon Schreiberhuber; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ECCV (33), 2022)

A New VR Kitchen Environment for Recording Well Annotated Object Interaction Tasks. - Michael Koller 002; Timothy Patten; Markus Vincze (HRI, 2022)

SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. - Dominik Bauer; Timothy Patten; Markus Vincze (WACV, 2022)

Where Does It Belong? Autonomous Object Mapping in Open-World Settings. - Edith Langer; Timothy Patten; Markus Vincze (Frontiers Robotics AI, 2022)

Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. - Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (IEEE Robotics Autom. Lett., 2022)

GigaDepth: Learning Depth from Structured Light with Branching Neural Networks. - Simon Schreiberhuber; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (TU Wien Research Data, 2022)

Virtual Annotated Cooking Environment Dataset - Ego Perspective. - Michael Koller 002; Timothy Patten; Markus Vincze (TU Wien Research Data, 2022)

3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. - Markus Suchi; Bernhard Neuberger; Amanzhol Salykov; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (ICRA, 2023)

TrackAgent: 6D Object Tracking via Reinforcement Learning. - Konstantin Röhrl; Dominik Bauer; Timothy Patten; Markus Vincze (ICVS, 2023)

Skirting Line Estimation Using Sparse to Dense Deformation. - Daniel Perez Banuelos; Raphael Falque; Timothy Patten; Alen Alempijevic (IROS, 2023)

COPE: End-to-end trainable Constant Runtime Object Pose Estimation. - Stefan Thalhammer; Timothy Patten; Markus Vincze (WACV, 2023)