Yun Chen

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 241 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Chen trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Binh Yang
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Yun Chen overall

  1. Shaoshuai Shi
  2. Wu Zheng
  3. Zetong Yang
  4. Kashyap Chitta
  5. Aditya Prakash

Papers from Yun Chen's perspective

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

Their papers