M. Sarfraz

Computer Vision and Pattern Recognition · with Eberle · 2017

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Sarfraz trusts overall

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

  1. Liang Zheng
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Andrew Zisserman
  7. Wei Li
  8. Zhun Zhong
  9. Yoshua Bengio
  10. Yanbei Chen

Who trusts M. Sarfraz overall

  1. Liang Zheng
  2. Mang Ye
  3. Yulin Li
  4. Guan'an Wang
  5. Yujia Huang

Papers from M. Sarfraz's perspective

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

Their papers