Sid Ying-Ze Bao

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Sid Ying-Ze Bao trusts overall

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

  1. Derek Hoiem
  2. David G. Lowe
  3. Volker Blanz
  4. Alexei A. Efros
  5. M. Kazhdan
  6. Pedro F. Felzenszwalb
  7. Martial Hebert
  8. Ross B. Girshick
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Sid Ying-Ze Bao overall

  1. Christian Häne
  2. Andreas Geiger
  3. Ali O. Ulusoy
  4. Angjoo Kanazawa
  5. Abhishek Kar
  6. Moritz Menze
  7. Joel Janai
  8. João Carreira
  9. Fatma Güney
  10. Christopher Zach

Papers from Sid Ying-Ze Bao's perspective

Ordered by how strongly the researchers Sid Ying-Ze Bao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers