Tao Chen

Computer Vision and Pattern Recognition · with Gupta · 2019

A researcher in the Science corpus: 2 papers; trusts 168 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Chen trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. Sebastian Thrun
  4. Sergey Levine
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. J. Urgen Schmidhuber
  8. Yoshua Bengio
  9. Kaiming He
  10. Ruslan Salakhutdinov

Who trusts Tao Chen overall

  1. Devendra Singh Chaplot
  2. Santhosh K. Ramakrishnan
  3. Kristen Grauman
  4. Heming Du
  5. Ajay Kumar Sridhar
  6. Xinghang Li
  7. Mingyang Lyu
  8. Jiafei Duan
  9. Abhinav Kumar Gupta
  10. Ruslan Salakhutdinov

Papers from Tao Chen's perspective

Ordered by how strongly the researchers Tao 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers