Richard Newcombe

Meta (Israel), Oculus Innovative Sciences (United States), University of Washington Applied Physics Laboratory, META Health, Seattle University, Imperial College London, University of Essex

Papers

11

Total Citations

839

H-Index

8

About

No biography available yet.

Research Focus

Artificial intelligence11 · 839 citations
Computer science11 · 839 citations
Computer vision8 · 692 citations
Representation (politics)3 · 324 citations
Deep learning3 · 277 citations
Pattern recognition (psychology)3 · 277 citations
Mathematics3 · 270 citations
Boundary representation2 · 267 citations
Discretization2 · 267 citations
Computer graphics2 · 267 citations
Boundary (topology)2 · 267 citations
Algorithm2 · 267 citations

Key Achievements

8
H-Index
11
Papers
839
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
259 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Meta (Israel), Oculus Innovative Sciences (United States), University of Washington Applied Physics Laboratory, META Health, Seattle University, Imperial College London

Top Papers

  1. 1
    DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
    259 citations · 2019
  2. 2
    Self-Supervised Visual Descriptor Learning for Dense Correspondence
    170 citations · 2016
  3. 3
    DART: Dense Articulated Real-Time Tracking
    136 citations · 2014
  4. 4
    OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
    78 citations · 2023
  5. 5
    Depth-based tracking with physical constraints for robot manipulation
    69 citations · 2015
  6. 6
    DART: dense articulated real-time tracking with consumer depth cameras
    57 citations · 2015
  7. 7
    ODAM: Object Detection, Association, and Mapping using Posed RGB Video
    29 citations · 2021
  8. 8
    Dense Visual SLAM
    22 citations · 2012
  9. 9
    Controlling an Anthropomimetic Robot: A Preliminary Investigation
    8 citations · 2007
  10. 10
    DeepSDF: Learning Continuous Signed Distance Functions for Shape\n Representation
    8 citations · 2019

Key Collaborators

JSJulian Straub4 shared papersTSTanner Schmidt4 shared papersDFDieter Fox4 shared papersOHOwen Holland2 shared papersJJJeong Joon Park2 shared papersPFPete Florence2 shared papersDDDaniel DeTone2 shared papersSLSteven Lovegrove2 shared papersHGHugo Gravato Marques2 shared papersMSMichael Suppa1 shared papersJTJulian Togelius1 shared papersRDRenzo De Nardi1 shared papersTMTomasz Malisiewicz1 shared papersTYTsun-Yi Yang1 shared papersCSChris Sweeney1 shared papersPSPaul-Edouard Sarlin1 shared papersKHKatharina Hertkorn1 shared papersZMZoltán-Csaba Márton1 shared papersPKPeter Kontschieder1 shared papersMVMinh Vo1 shared papers
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