Kui Jiang

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 270 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kui Jiang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. X. Zhang
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Kui Jiang overall

  1. Syed Waqas Zamir
  2. Siwei Yu
  3. Ozan Özdenizci
  4. Chong Mou
  5. Hodjat Shirmard
  6. Jie Xiao
  7. Xiang Chen
  8. Jakaria Rabbi
  9. Yi Xiao
  10. Liangyu Chen

Papers from Kui Jiang's perspective

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

Their papers