Martin Wicke

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 4 papers; trusts 138 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Wicke trusts overall

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

  1. Andreas Geiger
  2. Daniel Scharstein
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Radu Bogdan Rusu
  6. Alex Krizhevsky
  7. David Eigen
  8. Yann LeCun
  9. David G. Lowe
  10. Kaiming He

Who trusts Martin Wicke overall

  1. Sudeep Pillai
  2. Zachary Teed
  3. Chaoqiang Zhao
  4. Fangchang Ma
  5. Rares Ambrus
  6. Marvin Klingner
  7. Vitor Campanholo Guizilini
  8. Anurag Ranjan

Papers from Martin Wicke's perspective

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

Their papers