Zhujun Yang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhujun Yang 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. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Trevor Darrell (in Computer Vision and Pattern Recognition)
  10. Yoshua Bengio (in Computer Vision and Pattern Recognition)

Papers from Zhujun Yang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Microsoft COCO: Common Objects in Context
  3. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  4. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  5. Extracting and composing robust features with denoising autoencoders
  6. Colorful Image Colorization
  7. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  8. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  9. Context Encoders: Feature Learning by Inpainting
  10. Pixel Recurrent Neural Networks

Their papers