Tushar Nagarajan

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 8 papers; trusts 1,278 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Tushar Nagarajan trusts overall

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

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

Who trusts Tushar Nagarajan overall

  1. Kristen Grauman
  2. Ivan Rodin
  3. Antonino Furnari
  4. Shao-Wei Liu
  5. Francesco Ragusa
  6. Shikhar Bahl
  7. Giovanni Maria Farinella
  8. Lingzhi Zhang
  9. Mohit Goyal
  10. Priyanka Mandikal

Papers from Tushar Nagarajan's perspective

Ordered by how strongly the researchers Tushar Nagarajan 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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