Tao Chen

Computer Vision and Pattern Recognition · with Wang · 2009–2015

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 3 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. Ashutosh Saxena
  2. Bogdan Georgescu
  3. Yin Li
  4. Matthew Johnson
  5. Jean-François Lalonde
  6. Tie Liu
  7. Alexei A. Efros
  8. Andrew Y. Ng
  9. Derek Hoiem
  10. Sung H. Chung

Who trusts Tao Chen overall

  1. Ming-Ming Cheng
  2. Ali Borji
  3. James Hays
  4. Deng-Ping Fan
  5. Wengling Chen
  6. Sirion Vittayakorn
  7. Mathias Eitz
  8. Weihao Xia
  9. Tam V. Nguyen
  10. Yi Wang

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. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers