M. Zia

Computer Vision and Pattern Recognition · with Schindler · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 319 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

Whom M. Zia trusts overall

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

  1. David G. Lowe
  2. Pedro F. Felzenszwalb
  3. Ross B. Girshick
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Rob Fergus
  7. Alex Krizhevsky
  8. Kaiming He
  9. Jitendra Malik
  10. Mykhaylo Andriluka

Who trusts M. Zia overall

  1. Vishwanath A. Sindagi
  2. Abhijit Kundu
  3. Andreas Geiger
  4. Xiaozhi Chen
  5. Yin Zhou
  6. Xinxin Du
  7. João Carreira
  8. Sara Alexandra Gomes Vicente
  9. Liang-Chieh Chen
  10. Oncel Tuzel

Papers from M. Zia's perspective

Ordered by how strongly the researchers M. Zia 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