Aymen Mir

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 300 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Aymen Mir trusts overall

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

  1. Gerard Pons-Moll
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Thiemo Alldieck
  9. Pedro F. Felzenszwalb
  10. Jitendra Malik

Who trusts Aymen Mir overall

  1. Nilesh Kulkarni
  2. Bharat Lal Bhatnagar

Papers from Aymen Mir's perspective

Ordered by how strongly the researchers Aymen Mir 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers