Kailin Xiong

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kailin Xiong trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Michael Gygli
  6. Thang Luong
  7. Yoshua Bengio
  8. Chong-Wah Ngo
  9. Yang Cong
  10. Alex Krizhevsky

Who trusts Kailin Xiong overall

  1. Evlampios Apostolidis

Papers from Kailin Xiong's perspective

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

Their papers