Di Chen

Computer Vision and Pattern Recognition · with Wang · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Di Chen trusts overall

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

  1. Prafulla Dhariwal
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Alex Nichol
  6. Kaiming He
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Yann LeCun
  10. Ross B. Girshick

Papers from Di Chen's perspective

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

Their papers