Tianlang Chen

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 299 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tianlang 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. Yoshua Bengio
  6. Diederik P. Kingma
  7. Shaoqing Ren
  8. Ilya Sutskever
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Tianlang Chen overall

  1. Wenhao Li
  2. Muchen Li
  3. Ce Zheng
  4. Jinlu Zhang
  5. Hong Liu
  6. Weicheng Kuo
  7. Zhengyuan Yang
  8. Chang Liu
  9. Leonid Sigal
  10. Ye Du

Papers from Tianlang Chen's perspective

Ordered by how strongly the researchers Tianlang 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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