Sven Bambach

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Sven Bambach trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Cheng Li
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Alireza Fathi
  9. Kaiming He
  10. Rob Fergus

Who trusts Sven Bambach overall

  1. Aisha Urooj Khan
  2. Antonino Furnari
  3. Fanqing Lin
  4. Anh Tuan Tran
  5. Lingzhi Zhang
  6. Minjie Cai
  7. Minghuang Ma
  8. Dandan Shan
  9. Yuval Nirkin
  10. Ali Borji

Papers from Sven Bambach's perspective

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

Their papers