Anurag Kumar

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 7 papers; trusts 297 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Anurag Kumar trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Alex Graves
  7. Kaiming He
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jae S. Lim

Who trusts Anurag Kumar overall

  1. Eduardo Fonseca
  2. Haytham M. Fayek
  3. Xingjun Ma
  4. Xavier Favory
  5. Jordi Pons
  6. Arsha Nagrani
  7. Hanxun Huang
  8. Ruohan Gao
  9. Benjamin Elizalde
  10. Xavier Serra

Papers from Anurag Kumar's perspective

Ordered by how strongly the researchers Anurag Kumar 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers