Nayan Singhal

Computer Vision and Pattern Recognition · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Nayan Singhal trusts overall

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

  1. Diederik P. Kingma
  2. Gunnar Farnebäck
  3. João Carreira
  4. Aäron van den Oord
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Jimmy Ba
  8. Oren Rippel
  9. Radford M. Neal
  10. Zhou Wang

Who trusts Nayan Singhal overall

  1. Eirikur Agustsson
  2. Michael Tschannen
  3. Guo Lu
  4. AmirHossein Habibian
  5. Jun Han

Papers from Nayan Singhal's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  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