Lee Clement

University of Toronto

Papers

4

Total Citations

64

H-Index

3

About

No biography available yet.

Research Focus

Computer vision4 · 64 citations
Computer science4 · 64 citations
Artificial intelligence4 · 64 citations
Robustness (evolution)2 · 50 citations
Visual odometry3 · 40 citations
Mobile robot3 · 40 citations
Robot3 · 40 citations
Monocular vision2 · 35 citations
Monocular2 · 35 citations
Odometry2 · 29 citations
Deep learning1 · 26 citations
Metric (unit)1 · 26 citations

Key Achievements

3
H-Index
4
Papers
64
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change
26 citations · 2018
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Toronto

Top Papers

  1. 1
    How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change
    26 citations · 2018
  2. 2
    Robust Monocular Visual Teach and Repeat Aided by Local Ground Planarity and Color‐constant Imagery
    24 citations · 2016
  3. 3
    Monocular Visual Teach and Repeat Aided by Local Ground Planarity
    11 citations · 2016
  4. 4
    Improving the Accuracy of Stereo Visual Odometry Using Visual Illumination Estimation
    3 citations · 2017

Key Collaborators

JKJonathan Kelly4 shared papersTDTimothy D. Barfoot2 shared papersVPValentin Peretroukhin1 shared papers
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