Jin Zeng

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jin Zeng trusts overall

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

  1. Yinda Zhang
  2. Rob Fergus
  3. Evan Shelhamer
  4. David Eigen
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Alex Krizhevsky
  8. Kaiming He
  9. Abhinav Kumar Gupta
  10. Anat Levin

Who trusts Jin Zeng overall

  1. Wenbing Huang
  2. Qiang Wang

Papers from Jin Zeng's perspective

Ordered by how strongly the researchers Jin Zeng 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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers