Raghav Goyal

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Raghav Goyal trusts overall

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

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

Who trusts Raghav Goyal overall

  1. Kunchang Li
  2. Ji Lin
  3. Limin Wang
  4. Yi Wang
  5. Christoph Feichtenhofer
  6. Ceyuan Yang
  7. X. Wang
  8. Ilija Radosavovic
  9. Du Tran
  10. Jitendra Malik

Papers from Raghav Goyal's perspective

Ordered by how strongly the researchers Raghav Goyal 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. 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