Qing Jin

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 143 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Jin trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Asit K. Mishra
  6. Ross B. Girshick
  7. Barret Zoph
  8. Diederik P. Kingma
  9. Song Han
  10. Yann LeCun

Who trusts Qing Jin overall

  1. Jing Liu
  2. Jianfei Cai
  3. Yanyu Li

Papers from Qing Jin's perspective

Ordered by how strongly the researchers Qing Jin 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. 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. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers