Yu Deng

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 222 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Deng trusts overall

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

  1. Diederik P. Kingma
  2. Ravi Ramamoorthi
  3. Kaiming He
  4. Volker Blanz
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Thomas Vetter
  8. Yoshua Bengio
  9. Elad Richardson
  10. Yann LeCun

Who trusts Yu Deng overall

  1. Jiaolong Yang
  2. Xingang Pan
  3. Yang Hong
  4. Radek Daněček
  5. Michael J. Black
  6. Anpei Chen
  7. Can Wang
  8. Yao Feng
  9. Bo Peng
  10. Jianzhu Guo

Papers from Yu Deng's perspective

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

Their papers