Nima Ghorbani

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 150 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Nima Ghorbani trusts overall

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

  1. Diederik P. Kingma
  2. Michael J. Black
  3. Federica Bogo
  4. Dimitrios Tzionas
  5. Kaiming He
  6. P. Hanrahan
  7. Geoffrey E. Hinton
  8. Jorge Nocedal
  9. Alex Krizhevsky
  10. Max Welling

Who trusts Nima Ghorbani overall

  1. Michael J. Black
  2. Guy Tevet
  3. Muhammed Kocabas
  4. Omid Taheri
  5. Mathis Petrovich
  6. Yonatan Shafir
  7. Hongsuk Choi
  8. Gyeongsik Moon
  9. Chuan Guo
  10. Mohamed Hassan

Papers from Nima Ghorbani's perspective

Ordered by how strongly the researchers Nima Ghorbani trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Et al

Their papers