Jianlin Wang

Computer Vision and Pattern Recognition · with Huang · 2019

A researcher in the Science corpus: 1 paper; trusts 513 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianlin Wang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Christian Szegedy
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Sergey Ioffe
  10. Shaoqing Ren

Papers from Jianlin Wang's perspective

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

Their papers