Yanli Ji

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yanli Ji trusts overall

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

  1. Michael S. Ryoo
  2. Jake K. Aggarwal
  3. Chunyu Wang
  4. Yi Yang
  5. Kiwon Yun
  6. Yizhou Wang
  7. Simon Baker
  8. Alan L. Yuille
  9. Jean Honorio
  10. Kaiming He

Who trusts Yanli Ji overall

  1. Qiuhong Ke
  2. Cuiling Lan
  3. Ilaria Gori
  4. Pengfei Zhang
  5. Wentao Zhu
  6. Junliang Xing
  7. Jun Liu
  8. Mohammed Bennamoun
  9. Wenjun Zeng
  10. Jake K. Aggarwal

Papers from Yanli Ji's perspective

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

Their papers