Kamaljeet Singh

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 342 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kamaljeet Singh trusts overall

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

  1. Limin Wang
  2. Andrew Zisserman
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Sergey Ioffe
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Yoshua Bengio

Who trusts Kamaljeet Singh overall

  1. Ji Lin
  2. Limin Wang
  3. Zuxuan Wu
  4. Chenxu Luo
  5. Chuang Gan
  6. Zehua Sun
  7. Boyuan Jiang
  8. Yan Li
  9. Yue Meng

Papers from Kamaljeet Singh's perspective

Ordered by how strongly the researchers Kamaljeet Singh 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. Gradient-based learning applied to document recognition
  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