Songjiang Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Songjiang Li trusts overall

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

  1. Jia Deng
  2. Joshua D. Batson
  3. Alessandro Foi
  4. Samuli Laine
  5. Olaf Ronneberger
  6. Dmitry Ulyanov
  7. Jaakko Lehtinen
  8. Geoffrey E. Hinton
  9. Kostadin Dabov
  10. Roman Zeyde

Papers from Songjiang Li's perspective

Ordered by how strongly the researchers Songjiang Li 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers