Jinxiang Chai

Computer Vision and Pattern Recognition · 2000–2014

A researcher in the Science corpus: 7 papers; trusts 83 researchers and is trusted by 267 researchers here, as inferred from the citation graph.

Subfields

Whom Jinxiang Chai trusts overall

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

  1. Okan Arikan
  2. Christopher G. Atkeson
  3. Neil D. Lawrence
  4. M. Stone
  5. Sam T. Roweis
  6. Lucas Kovar
  7. D.A. Forsyth
  8. Katherine Pullen
  9. Bernhard Schölkopf
  10. Keinosuke Fukunaga

Who trusts Jinxiang Chai overall

  1. Jianyuan Min
  2. Daniel Holden
  3. He Zhang
  4. Leslie Ikemoto
  5. Taku Komura
  6. Okan Arikan
  7. Tom E. Bishop
  8. De-An Huang
  9. Jun Saito
  10. Ruigang Yang

Papers from Jinxiang Chai's perspective

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

Their papers