Gellért Máttyus

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 207 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Gellért Máttyus trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Volodymyr Mnih
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ross B. Girshick
  8. X. Zhang
  9. Christian Szegedy
  10. Shaoqing Ren

Who trusts Gellért Máttyus overall

  1. Jian Ding
  2. Lichen Zhou
  3. Zuoyue Li
  4. Mingchen Zhuge
  5. Ilke Demir
  6. Favyen Bastani
  7. Sunggoo Jung
  8. Chuang Zhang
  9. Jan Dirk Wegner
  10. Zhengxia Zou

Papers from Gellért Máttyus's perspective

Ordered by how strongly the researchers Gellért Máttyus 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers