Ramin Nabati

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 260 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ramin Nabati trusts overall

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

  1. Bo Li
  2. Ross B. Girshick
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Jia Deng
  10. Karen Simonyan

Who trusts Ramin Nabati overall

  1. Tai Wang
  2. Junjie Huang
  3. Xinge Zhu
  4. Guan Huang
  5. Jiangmiao Pang
  6. Dahua Lin
  7. Xuanyao Chen

Papers from Ramin Nabati's perspective

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

Their papers