Hongan Wang

Computer Vision and Pattern Recognition · 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 Hongan Wang 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 Hongan Wang's perspective

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

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

Their papers