Shujie Tan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shujie Tan trusts overall

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

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

Papers from Shujie Tan's perspective

Ordered by how strongly the researchers Shujie Tan 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Microsoft COCO: Common Objects in Context
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers