Ajeet Kumar Singh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ajeet Kumar Singh trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Sepp Hochreiter

Who trusts Ajeet Kumar Singh overall

  1. Ronghang Hu
  2. Jinze Bai

Papers from Ajeet Kumar Singh's perspective

Ordered by how strongly the researchers Ajeet Kumar Singh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers