M. Berger

Computer Graphics and Computer-Aided Design · 2011–2017

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Berger trusts overall

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

  1. Nina Amenta
  2. Shachar Fleishman
  3. Brian Curless
  4. Daniel Cohen-Or
  5. Frédéric Cazals
  6. Andrea Tagliasacchi
  7. Hugues Hoppe
  8. Niloy J. Mitra
  9. Yutaka Ohtake
  10. M. Kazhdan

Who trusts M. Berger overall

  1. Kang Yin
  2. Wentao Yuan
  3. Matan Atzmon
  4. Simon Fraser

Papers from M. Berger's perspective

Ordered by how strongly the researchers M. Berger 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers