Hailin Jiang

Computer Vision and Pattern Recognition · 2023

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 Hailin Jiang trusts overall

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

  1. A. Bovik
  2. Zhou Wang
  3. Anish Mittal
  4. Wenhan Yang
  5. Olaf Ronneberger
  6. Diederik P. Kingma
  7. Kin Gwn Lore
  8. Xiao-Jiao Mao
  9. Geoffrey E. Hinton
  10. Kostadin Dabov

Papers from Hailin Jiang's perspective

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

Their papers