Nahian Alam Siddique

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nahian Alam Siddique trusts overall

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

  1. Kaiming He
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Md. Zahangir Alom
  6. Tom Fawcett
  7. David Martin Ward Powers
  8. Evan Shelhamer
  9. Ross B. Girshick
  10. Yoshua Bengio

Who trusts Nahian Alam Siddique overall

  1. He-lu Huang
  2. Reza Azad

Papers from Nahian Alam Siddique's perspective

Ordered by how strongly the researchers Nahian Alam Siddique 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers