Showing results 1 to 20 of 24
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| Issue Date | Title | Author(s) |
| 2022-12-06 | Subcutaneous Fat Depth Regression Using Hyperspectral and Depth Imaging | Pena, F; Mehami, J; Guenot-Falque, R; Patten, T; Alempijevic, A; Vidal Calleja, T |
| 2022-07-01 | Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme | Weibel, JB; Patten, T; Vincze, M |
| 2022-04-27 | Audio-Visual Object Classification for Human-Robot Collaboration | Xompero, A; Pang, YL; Patten, T; Prabhakar, A; Calli, B; Cavallaro, A |
| 2022-02-15 | SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement | Bauer, D; Patten, T; Vincze, M |
| 2022-01-01 | GigaDepth: Learning Depth from Structured Light with Branching Neural Networks | Schreiberhuber, S; Weibel, JB; Patten, T; Vincze, M |
| 2022 | Where Does It Belong? Autonomous Object Mapping in Open-World Settings. | Langer, E; Patten, T; Vincze, M |
| 2021-12-06 | Skirting Line Annotation via Deformation Modelling | Alempijevic, A; Patten, T; Banuelos, DAP; Guenot-Falque, R |
| 2021-01-01 | Usability Study of Learning-Based Pose Estimation of Industrial Objects from Synthetic Depth Data | Thalhammer, S; Patten, T; Vincze, M; Ratchev, S |
| 2021-01-01 | Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations | Patten, T; Alempijevic, A; Fitch, R |
| 2021-01-01 | Object Learning for 6D Pose Estimation and Grasping from RGB-D Videos of In-hand Manipulation | Patten, T; Park, K; Leitner, M; Wolfram, K; Vincze, M |
| 2020-07-01 | VeREFINE: Integrating Object Pose Verification with Physics-Guided Iterative Refinement | Bauer, D; Patten, T; Vincze, M |
| 2020-04-01 | Addressing the Sim2Real Gap in Robotic 3-D Object Classification | Weibel, JB; Patten, T; Vincze, M |
| 2020-01-01 | Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images | Park, K; Patten, T; Vincze, M |
| 2020-01-01 | Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects | Bauer, D; Patten, T; Vincze, M |
| 2020 | DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping. | Patten, T; Park, K; Vincze, M |
| 2019-03-01 | Dec-MCTS: Decentralized planning for multi-robot active perception | Best, G; Cliff, OM; Patten, T; Mettu, RR; Fitch, R |
| 2018-02-01 | Monte Carlo planning for active object classification | Patten, T; Martens, W; Fitch, R |
| 2016-12-18 | Decentralised Monte Carlo Tree Search for Active Perception | Best, G; Cliff, O; Patten, T; Mettu, R; Fitch, R |
| 2016-12-09 | Multi-robot coverage planning with resource constraints for horticulture applications | Patten, T; Fitch, R; Sukkarieh, S |
| 2016-01-01 | Viewpoint Evaluation for Online 3-D Active Object Classification | Patten, T; Zillich, M; Fitch, R; Vincze, M; Sukkarieh, S |
