Baldo Faieta

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baldo Faieta trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  5. X. Zhang (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Karen Simonyan (in Computer Vision and Pattern Recognition)
  10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Baldo Faieta's perspective

Ordered by how strongly the researchers Baldo Faieta 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. Attention is All you Need (Neural Information Processing Systems)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Fully convolutional networks for semantic segmentation
  5. Representation Learning with Contrastive Predictive Coding
  6. ImageNet classification with deep convolutional neural networks
  7. Colorful Image Colorization
  8. Learning deep representations by mutual information estimation and maximization
  9. SSD: Single Shot MultiBox Detector
  10. Gradient-based learning applied to document recognition

Their papers