Ejaz Ahmed

Computer Vision and Pattern Recognition · with Cohen · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 486 researchers and is trusted by 134 researchers here, as inferred from the citation graph.

Subfields

Whom Ejaz Ahmed trusts overall

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

  1. Alex Krizhevsky
  2. Rui Zhao
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Wei Li
  6. Kaiming He
  7. Pedro F. Felzenszwalb
  8. Ilya Sutskever
  9. Armand Joulin
  10. Yoshua Bengio

Who trusts Ejaz Ahmed overall

  1. Liang Zheng
  2. Tong Xiao
  3. Zhedong Zheng
  4. Tao A. Xiang
  5. Rahul Rama Varior
  6. Chi Su
  7. Shuang Li
  8. Yi Yang
  9. Xuelin Qian
  10. Xiaogang Wang

Papers from Ejaz Ahmed's perspective

Ordered by how strongly the researchers Ejaz Ahmed 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