Matthew Gadd

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Gadd trusts overall

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

  1. Mark Joseph Cummins
  2. Andreas Geiger
  3. William P. Maddern

Who trusts Matthew Gadd overall

  1. Giseop Kim

Papers from Matthew Gadd's perspective

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

  1. Vision meets robotics: The KITTI dataset
  2. FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance
  3. Ford Campus vision and lidar data set (Int. J. Robotics Res.)
  4. 1 year, 1000 km: The Oxford RobotCar dataset
  5. The ApolloScape Open Dataset for Autonomous Driving and Its Application
  6. Gradient-based learning applied to document recognition
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Histograms of oriented gradients for human detection
  10. Fully convolutional networks for semantic segmentation

Their papers