Himalaya Jain

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 179 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Himalaya Jain trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. L. Eon Bottou
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Shaoqing Ren
  10. Andrew Zisserman

Who trusts Himalaya Jain overall

  1. Lukas Hoyer
  2. Jian Liang
  3. Xiangde Luo
  4. Dapeng Hu
  5. Dengxin Dai
  6. Umberto Michieli
  7. Luke Melas-Kyriazi
  8. Garrett Wilson
  9. Myeongjin Kim
  10. Arthur Douillard

Papers from Himalaya Jain's perspective

Ordered by how strongly the researchers Himalaya Jain 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. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers