Kenji Koide

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kenji Koide trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Martin Magnusson
  2. Eric A. Wan
  3. Wonho Kang
  4. Zichao Zhang
  5. Jacopo Serafin
  6. Aleksandr V. Segal
  7. Andreas Nüchter
  8. Dmitry Chetverikov
  9. Fan Li
  10. Giorgio Grisetti

Who trusts Kenji Koide overall

  1. Han Wang
  2. Chen Wang
  3. César Debeunne

Papers from Kenji Koide's perspective

Ordered by how strongly the researchers Kenji Koide trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Method for Registration of 3-D Shapes
  2. Generalized-ICP (Robotics: Science and Systems Conference)
  3. ImageNet classification with deep convolutional neural networks
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Fast Point Feature Histograms (FPFH) for 3D registration
  6. The unscented Kalman filter for nonlinear estimation
  7. Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT
  8. A 3-D Scan Matching using Improved 3-D Normal Distributions Transform for Mobile Robotic Mapping
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. LOAM: Lidar Odometry and Mapping in Real-time (Robotics: Science and Systems Conference)

Their papers