Nasir M. Rajpoot

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 15 papers; trusts 362 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Nasir M. Rajpoot trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Radford M. Neal
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Max Welling
  10. Ross B. Girshick

Who trusts Nasir M. Rajpoot overall

  1. Fuyong Xing
  2. Chetan L. Srinidhi
  3. Massimo Salvi
  4. Simon Graham
  5. Balazs Acs
  6. Ozan Ciga
  7. David W. Romero
  8. M. Shaban
  9. Lin F. Yang
  10. Faisal Mahmood

Papers from Nasir M. Rajpoot's perspective

Ordered by how strongly the researchers Nasir M. Rajpoot 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers