Michele Merler

Computer Vision and Pattern Recognition · 2003–2019

A researcher in the Science corpus: 2 papers; trusts 286 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Merler trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Antonio Torralba
  5. Ilya Sutskever
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Shaoqing Ren
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Michele Merler overall

  1. Kimmo Kärkkäinen
  2. Inioluwa Deborah Raji
  3. Zaid Khan
  4. Jungseock Joo
  5. Eugene Bagdasarian
  6. Guha Balakrishnan
  7. Anjalie Field
  8. Matthew Groh
  9. Yun Raymond Fu
  10. Vitaly Shmatikov

Papers from Michele Merler's perspective

Ordered by how strongly the researchers Michele Merler 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