Kaleem Siddiqi

Computer Vision and Pattern Recognition · 2001–2018

A researcher in the Science corpus: 8 papers; trusts 68 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Kaleem Siddiqi trusts overall

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

  1. Stanley J. Osher
  2. M. Crandall
  3. Diederik P. Kingma
  4. Tim McInerney
  5. Yann LeCun
  6. James A. Sethian
  7. Charles Ruizhongtai Qi
  8. Li Yi
  9. Jianbo Shi
  10. A. Hinge

Who trusts Kaleem Siddiqi overall

  1. Andrea Tagliasacchi
  2. Punam Kumar Saha
  3. Ali Cheraghian
  4. Thomas Delamé
  5. Kaihua Zhang
  6. Robin Strand
  7. Juan Zhang
  8. Alex Levinshtein
  9. Gunilla Borgefors
  10. Michela Spagnuolo

Papers from Kaleem Siddiqi's perspective

Ordered by how strongly the researchers Kaleem Siddiqi 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. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers