Ignacio Heredia

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ignacio Heredia trusts

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

  1. Radford M. Neal (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Ignacio Heredia's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. ImageNet classification with deep convolutional neural networks
  8. Densely Connected Convolutional Networks
  9. Identity Mappings in Deep Residual Networks
  10. Visualizing and Understanding Convolutional Networks

Their papers