João Bimbo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom João Bimbo trusts overall

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

  1. David G. Lowe
  2. Ravinder S. Dahiya
  3. Jeremy A. Fishel
  4. Susan J. Lederman
  5. Miao Li

Papers from João Bimbo's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Representation Learning: A Review and New Perspectives
  3. A performance evaluation of local descriptors
  4. ImageNet classification with deep convolutional neural networks
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Tactile Sensing—From Humans to Humanoids (IEEE Transactions on robotics)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning of grasp adaptation through experience and tactile sensing
  10. ImageNet: A large-scale hierarchical image database

Their papers