Junzhou Chen

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junzhou Chen trusts overall

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

  1. Johan A. K. Suykens
  2. Feng Wang
  3. Sumit Chopra

Papers from Junzhou Chen's perspective

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

  1. Learning a similarity metric discriminatively, with application to face verification
  2. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Spectral Normalization for Generative Adversarial Networks
  8. Learning Multiple Layers of Features from Tiny Images
  9. A Discriminative Feature Learning Approach for Deep Face Recognition
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers