M. Kiapour

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 4 papers; trusts 563 researchers and is trusted by 497 researchers here, as inferred from the citation graph.

Subfields

Whom M. Kiapour trusts overall

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

  1. David G. Lowe
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Andrew Zisserman
  5. Ross B. Girshick
  6. Kaiming He
  7. Yann LeCun
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Jitendra Malik

Who trusts M. Kiapour overall

  1. Xiaodan Liang
  2. Xintong Han
  3. Bharath Hariharan
  4. Ziwei Liu
  5. Kota Yamaguchi
  6. Xiaohui Shen
  7. Zuxuan Wu
  8. Junshi Huang
  9. Yuhui Yuan
  10. Ping Luo

Papers from M. Kiapour's perspective

Ordered by how strongly the researchers M. Kiapour 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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