Jie Yu

Computer Vision and Pattern Recognition · with Li · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Yu trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Quoc V. Le (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. X. Zhang (in Computer Vision and Pattern Recognition)
  10. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Jie Yu's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Microsoft COCO: Common Objects in Context
  3. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  4. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  5. Colorful Image Colorization
  6. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
  7. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  8. Unsupervised Domain Adaptation by Backpropagation
  9. Self-Training With Noisy Student Improves ImageNet Classification
  10. Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks

Their papers