Kang Liu

Computer Vision and Pattern Recognition · with Máttyus · 2015

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Liu trusts overall

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

  1. Navneet Dalal
  2. Lubomir D. Bourdev
  3. Yann LeCun
  4. Ross B. Girshick
  5. Trevor J. Hastie
  6. Bill Triggs
  7. Piotr Doll'ar
  8. L. Eon Bottou
  9. Jeff Donahue
  10. Geoffrey E. Hinton

Who trusts Kang Liu overall

  1. Jian Ding
  2. Sunggoo Jung
  3. Zhengxia Zou
  4. S. Azimi
  5. Nan Xue
  6. Xingjia Pan
  7. Gui-Song Xia
  8. Xiang Bai
  9. Sunyou Hwang
  10. Guisong Xia

Papers from Kang Liu's perspective

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

Their papers