Jing Huang

Computer Vision and Pattern Recognition · with Pang · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Huang trusts overall

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

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

Who trusts Jing Huang overall

  1. Hao Wang

Papers from Jing Huang's perspective

Ordered by how strongly the researchers Jing Huang 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. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers