Jiangfan Deng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiangfan Deng trusts overall

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

  1. Geoffrey E. Hinton
  2. Sergey Zagoruyko
  3. Kaiming He
  4. Alex Krizhevsky
  5. Stephen J. Wright
  6. Marco Cuturi
  7. Yoshua Bengio
  8. Byeongho Heo
  9. Yann LeCun
  10. Ross B. Girshick

Papers from Jiangfan Deng's perspective

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

Their papers