Robinson Piramuthu

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 9 papers; trusts 800 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Robinson Piramuthu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Jia Deng
  6. Andrew Zisserman
  7. David G. Lowe
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Robinson Piramuthu overall

  1. Karim Ahmed
  2. Ruining He
  3. Julian McAuley
  4. Peter Hase
  5. Weixin Liang
  6. Lorenzo Torresani
  7. Junshi Huang

Papers from Robinson Piramuthu's perspective

Ordered by how strongly the researchers Robinson Piramuthu 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. 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers