Humayun Irshad

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Humayun Irshad trusts overall

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

  1. Jianbo Shi
  2. Tony F. Chan
  3. Dan Claudiu Ciresan
  4. Yousef Al-Kofahi
  5. Jitendra Malik
  6. Luminita A. Vese
  7. Ludovic Roux
  8. Alex Krizhevsky
  9. Karen Simonyan
  10. Metin Nafi Gurcan

Who trusts Humayun Irshad overall

  1. Fuyong Xing
  2. Hao Chen
  3. Korsuk Sirinukunwattana
  4. Faisal Mahmood
  5. Lin F. Yang
  6. Andrew Janowczyk
  7. Anant Madabhushi
  8. Massimo Salvi

Papers from Humayun Irshad's perspective

Ordered by how strongly the researchers Humayun Irshad 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. ImageNet Large Scale Visual Recognition Challenge
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet: A large-scale hierarchical image database

Their papers