Sikandar Amin

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 5 papers; trusts 496 researchers and is trusted by 403 researchers here, as inferred from the citation graph.

Subfields

Whom Sikandar Amin trusts overall

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

  1. Ivan Laptev
  2. Andrew Zisserman
  3. Kaiming He
  4. Ross B. Girshick
  5. Pedro F. Felzenszwalb
  6. Geoffrey E. Hinton
  7. Radford M. Neal
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Sikandar Amin overall

  1. Hilde Kuehne
  2. Marcus Rohrbach
  3. Juergen Gall
  4. Basura Fernando
  5. Alexander Richard
  6. Dima Damen
  7. Hema Swetha Koppula
  8. Muhammed Kocabas
  9. Chen Sun
  10. Bugra Tekin

Papers from Sikandar Amin's perspective

Ordered by how strongly the researchers Sikandar Amin 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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