Michalis Raptis

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 3 papers; trusts 556 researchers and is trusted by 270 researchers here, as inferred from the citation graph.

Subfields

Whom Michalis Raptis trusts overall

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

  1. Jitendra Malik
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Ivan Laptev
  5. Navneet Dalal
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Pedro F. Felzenszwalb
  9. Kaiming He
  10. David G. Lowe

Who trusts Michalis Raptis overall

  1. Tian Lan
  2. Limin Wang
  3. Yu Kong
  4. Georgia Gkioxari
  5. Xiaodan Liang
  6. Leonid Sigal
  7. Liliana Lo Presti
  8. Yu Qiao
  9. Shugao Ma
  10. Lingling Tao

Papers from Michalis Raptis's perspective

Ordered by how strongly the researchers Michalis Raptis 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers