Junshi Huang

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 730 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Junshi Huang trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Yann LeCun
  9. Jeff Donahue
  10. Andrew Zisserman

Who trusts Junshi Huang overall

  1. Xuanyi Dong
  2. Qi Dong
  3. Yang He
  4. Ziwei Liu
  5. Xiaoxiao Guo
  6. Yi Yang
  7. Jifei Song
  8. Shaogang Gong
  9. Yuying Ge
  10. Ping Luo

Papers from Junshi Huang's perspective

Ordered by how strongly the researchers Junshi Huang 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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