Oge Marques

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oge Marques trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sergey Ioffe
  6. Ilya Sutskever
  7. Kaiming He
  8. Christian Szegedy
  9. Diederik P. Kingma
  10. Sebastian Ruder

Papers from Oge Marques's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers