Saurabh Sharma

Computer Vision and Pattern Recognition · 2001–2023

A researcher in the Science corpus: 5 papers; trusts 208 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Saurabh Sharma trusts overall

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

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

Who trusts Saurabh Sharma overall

  1. Qianru Sun
  2. Yang Xiao
  3. Ali Cheraghian
  4. Shafin Rahman
  5. Zongyan Han
  6. Wenjia Xu
  7. Zhangxuan Gu

Papers from Saurabh Sharma's perspective

Ordered by how strongly the researchers Saurabh Sharma 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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