Tianshui Chen

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 8 papers; trusts 834 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tianshui Chen trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Jia Deng
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Tianshui Chen overall

  1. Zhao-Min Chen
  2. Drew A. Hudson
  3. Jack Lanchantin
  4. Weifeng Ge
  5. Alireza Zareian
  6. Xin Lin
  7. Wenbo Zheng
  8. Yiwu Zhong
  9. Kaihua Tang
  10. Yongcheng Liu

Papers from Tianshui Chen's perspective

Ordered by how strongly the researchers Tianshui Chen 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. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers