Jiannan Chi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiannan Chi trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Jiannan Chi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Non-local Neural Networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Squeeze-and-Excitation Networks
  5. Learning Spatiotemporal Features with 3D Convolutional Networks
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers