Hui Chen

Computer Vision and Pattern Recognition · with Jiao · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Chen trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Guo-Jun Qi (in Computer Vision and Pattern Recognition)
  3. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Bernt Schiele (in Computer Vision and Pattern Recognition)
  8. Yann LeCun (in Computer Vision and Pattern Recognition)
  9. David G. Lowe (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Hui Chen's perspective

Ordered by how strongly the researchers Hui Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. GENERATIVE ADVERSARIAL NETS
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Deep Learning Face Attributes in the Wild
  5. Learning a similarity metric discriminatively, with application to face verification
  6. Conditional Generative Adversarial Nets
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Improved Training of Wasserstein GANs

Their papers