Xinyu Jin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinyu Jin trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Xinyu Jin's perspective

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

  1. Learning Transferable Features with Deep Adaptation Networks
  2. Domain-Adversarial Training of Neural Networks
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Domain Confusion: Maximizing for Domain Invariance
  5. Adversarial Discriminative Domain Adaptation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Image Style Transfer Using Convolutional Neural Networks
  8. Gradient-based learning applied to document recognition
  9. A Kernel Two-Sample Test
  10. Semi-supervised Learning by Entropy Minimization

Their papers