Yuanfeng Ji

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 260 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanfeng Ji trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Karen Simonyan
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Piotr Doll'ar
  9. Liang-Chieh Chen
  10. Yann LeCun

Who trusts Yuanfeng Ji overall

  1. Jun Ma
  2. Junjun He
  3. Junde Wu
  4. Jun Fu
  5. Zhongying Deng
  6. Qibin Hou

Papers from Yuanfeng Ji's perspective

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

Their papers