Helisa Dhamo

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Helisa Dhamo trusts overall

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

  1. Kaiming He
  2. Dekang Lin
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Charles Ruizhongtai Qi
  7. Diederik P. Kingma
  8. Li Fei-Fei
  9. Tsung-Yi Lin
  10. Justin Johnson

Who trusts Helisa Dhamo overall

  1. Xinghang Li

Papers from Helisa Dhamo's perspective

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

Their papers