Yongjian Yu

IEEE Transactions on Image Processing · 2002

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 17 researchers here, as inferred from the citation graph.

Whom Yongjian Yu trusts overall

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

  1. John F. Canny

Who trusts Yongjian Yu overall

  1. Suresh Kumar Thakur
  2. Gabriele Steidl
  3. Alison Noble
  4. S. Aja‐Fernández
  5. Bing Li
  6. Fabrizio Argenti
  7. Karl Krissian
  8. C. Loizou
  9. Moi Hoon Yap
  10. Tanja Teuber

Papers from Yongjian Yu's perspective

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

  1. A Computational Approach to Edge Detection
  2. Learning Multiple Layers of Features from Tiny Images
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet: A large-scale hierarchical image database
  7. Layer Normalization
  8. Attention is All you Need (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers