Eloy J. Mata

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eloy J. Mata trusts

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

  1. François Chollet (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)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Ali Farhadi (in Computer Vision and Pattern Recognition)

Papers from Eloy J. Mata's perspective

Ordered by how strongly the researchers Eloy J. Mata 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. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  6. ImageNet classification with deep convolutional neural networks
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Automatic differentiation in PyTorch
  9. Gradient-based learning applied to document recognition
  10. Xception: Deep Learning with Depthwise Separable Convolutions

Their papers