De Jong Yeong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom De Jong Yeong trusts overall

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

  1. Zhengyou Zhang
  2. Yin Zhou
  3. Andrew Zisserman
  4. Kaiming He
  5. Danfei Xu
  6. Vishwanath A. Sindagi
  7. Zhangjing Wang
  8. Charles Ruizhongtai Qi
  9. Oncel Tuzel
  10. Dragomir Anguelov

Papers from De Jong Yeong's perspective

Ordered by how strongly the researchers De Jong Yeong 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers