Timothy Patten

The University of Sydney, Australian Centre for Robotic Vision, TU Wien, University of Vienna, University of Technology Sydney

Papers

26

Total Citations

597

H-Index

12

About

No biography available yet.

Research Focus

Computer science26 · 597 citations
Artificial intelligence25 · 593 citations
Robot18 · 426 citations
Mathematics8 · 330 citations
Machine learning7 · 311 citations
Computer vision16 · 274 citations
Object (grammar)17 · 255 citations
Perception3 · 244 citations
Mathematical optimization3 · 228 citations
Tree (set theory)3 · 224 citations
Action (physics)2 · 220 citations
Monte Carlo method2 · 220 citations

Key Achievements

12
H-Index
26
Papers
597
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Dec-MCTS: Decentralized planning for multi-robot active perception
186 citations · 2018
📈 Most Prolific Year: 2019 (7 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: The University of Sydney, Australian Centre for Robotic Vision, TU Wien, University of Vienna, University of Technology Sydney

Top Papers

  1. 1
    Dec-MCTS: Decentralized planning for multi-robot active perception
    186 citations · 2018
  2. 2
    Multi-Task Template Matching for Object Detection, Segmentation and Pose Estimation Using Depth Images
    49 citations · 2019
  3. 3
    Monte Carlo planning for active object classification
    41 citations · 2017
  4. 4
    Viewpoint Evaluation for Online 3-D Active Object Classification
    40 citations · 2015
  5. 5
    DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping
    37 citations · 2020
  6. 6
    Decentralised Monte Carlo Tree Search for Active Perception
    34 citations · 2020
  7. 7
    Virtual Reality Teleoperation of a Humanoid Robot Using Markerless Human Upper Body Pose Imitation
    30 citations · 2019
  8. 8
    Hand-Object Interaction: From Human Demonstrations to Robot Manipulation
    24 citations · 2021
  9. 9
    SyDPose: Object Detection and Pose Estimation in Cluttered Real-World Depth Images Trained using Only Synthetic Data
    22 citations · 2019
  10. 10
    Robust and Efficient Object Change Detection by Combining Global Semantic Information and Local Geometric Verification
    19 citations · 2020

Key Collaborators

MVMarkus Vincze19 shared papersRFRobert Fitch7 shared papersKPKiru Park4 shared papersSSSalah Sukkarieh4 shared papersDBDominik Bauer3 shared papersJWJean-Baptiste Weibel3 shared papersMSMarkus Suchi2 shared papersMZMichael Zillich2 shared papersOMOliver M. Cliff2 shared papersRRRamgopal R. Mettu2 shared papersGBGraeme Best2 shared papersELEdith Langer2 shared papersJPJohann Prankl2 shared papersCTChristiana Tsiourti1 shared papersSSSimon Schreiberhuber1 shared papersMRMohammad Reza Loghmani1 shared papersMAMohamad Alameh1 shared papersDFDavid Fischinger1 shared papersGAGuillem Alenyà1 shared papersAHAli Hammoud1 shared papers
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