Ayush Kumar Tewari

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 15 papers; trusts 988 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Ayush Kumar Tewari trusts overall

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

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

Who trusts Ayush Kumar Tewari overall

  1. Anh Tuan Tran
  2. Peihao Zhu
  3. Shichen Liu
  4. Rameen Abdal
  5. Timo Bolkart
  6. Soubhik Sanyal
  7. Yotam Nitzan
  8. Michael J. Black
  9. Christian Theobalt
  10. Yu Deng

Papers from Ayush Kumar Tewari's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers