Jing Shi

Computer Vision and Pattern Recognition · with Li · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 439 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Shi trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Yann LeCun
  8. Christian Szegedy
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Jing Shi overall

  1. Dongxu Li
  2. Haoxin Chen
  3. Jinbo Xing
  4. Zhen Li
  5. Yuwei Guo
  6. Menghan Xia
  7. Ruohan Gao
  8. Xintao Wang
  9. Junnan Li
  10. Zejia Weng

Papers from Jing Shi's perspective

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

Their papers