Carlos Bermejo

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carlos Bermejo trusts overall

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

  1. David G. Lowe
  2. Daniel Wagner
  3. Christopher Evans
  4. Mark Fiala
  5. Yan Ke
  6. Ethan Rublee
  7. Dieter Schmalstieg
  8. Stefan Leutenegger
  9. Ross B. Girshick
  10. Jeongyeup Paek

Papers from Carlos Bermejo's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Caffe: Convolutional Architecture for Fast Feature Embedding
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers