Senthil Kumar Yogamani

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 19 papers; trusts 1,278 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Senthil Kumar Yogamani trusts overall

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

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

Who trusts Senthil Kumar Yogamani overall

  1. Sergey I. Nikolenko
  2. Edouard Leurent
  3. Michal Uřičář
  4. Ganesh Sistu
  5. B. R. Kiran
  6. Praveen Palanisamy
  7. Shansi Zhang
  8. Krzysztof Czarnecki
  9. Khaled El Madawy

Papers from Senthil Kumar Yogamani's perspective

Ordered by how strongly the researchers Senthil Kumar Yogamani 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers