Yong Wang

Computer Vision and Pattern Recognition · with Gong · 2007

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Wang trusts overall

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

  1. David G. Lowe
  2. Thomas Hofmann
  3. Jia Li
  4. Edward Y. Chang
  5. Kobus Barnard
  6. James Ze Wang
  7. Kingshy Goh
  8. Pinar Duygulu Sahin
  9. Jiwoon Jeon
  10. Victor Lavrenko

Who trusts Yong Wang overall

  1. Yanwei Fu
  2. Timothy M. Hospedales
  3. Tao A. Xiang

Papers from Yong Wang's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Matching Words and Pictures
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers