Uwe Schmidt

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 173 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Uwe Schmidt trusts overall

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

  1. Kaiming He
  2. Rob Fergus
  3. Ross B. Girshick
  4. Stefan Roth
  5. Geoffrey E. Hinton
  6. Dilip Krishnan
  7. Li Xu
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Kegan G. G. Samuel

Who trusts Uwe Schmidt overall

  1. Kai Zhang
  2. Chunwei Tian
  3. Yunjin Chen
  4. Stamatios Lefkimmiatis
  5. Wangmeng Zuo
  6. Yan Yang
  7. Jian Zhang
  8. Martin Benning
  9. Ulugbek S. Kamilov
  10. Yong Xu

Papers from Uwe Schmidt's perspective

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

Their papers