Mannat Singh

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 8 papers; trusts 1,003 researchers and is trusted by 242 researchers here, as inferred from the citation graph.

Subfields

Whom Mannat Singh trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Mannat Singh overall

  1. Tete Xiao
  2. Rohit Girdhar
  3. Zhengyuan Yang
  4. Chien-Yao Wang
  5. Trevor Darrell
  6. Weicheng Kuo
  7. Saining Xie
  8. Hugo Touvron
  9. Kaiming He
  10. Jiasen Lu

Papers from Mannat Singh's perspective

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

Their papers