Behjat Siddiquie

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Behjat Siddiquie trusts overall

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

  1. Thorsten Joachims
  2. Neeraj Kumar
  3. Tamara L. Berg
  4. Christoph H. Lampert
  5. Ioannis Tsochantaridis
  6. Chaitanya Desai
  7. Ali Farhadi
  8. Yang Hu
  9. Gary B. Huang
  10. D.A. Forsyth

Who trusts Behjat Siddiquie overall

  1. Adriana Kovashka
  2. Mateusz Malinowski
  3. Zeynep Akata
  4. Liang Zheng
  5. Kristen Grauman
  6. Stephan Alaniz
  7. Minjie Cai
  8. Si Liu
  9. Tian Lan
  10. Walter J. Scheirer

Papers from Behjat Siddiquie's perspective

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

Their papers