Jue Wang

Computer Vision and Pattern Recognition · 2007 IEEE Conference on Computer Vision and Pattern Recognition · 2005–2007

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 202 researchers here, as inferred from the citation graph.

Subfields

Whom Jue Wang trusts overall

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

  1. Mark A. Ruzon
  2. Yung-Yu Chuang
  3. Carsten Rother
  4. Leo J. Grady
  5. Yin Li
  6. Andrew Blake
  7. Carlo Tomasi
  8. Anat Levin
  9. Brian Curless
  10. Richard Szeliski

Who trusts Jue Wang overall

  1. Xue Bai
  2. Kaiming He
  3. Anat Levin
  4. Christoph Rhemann
  5. Shutao Li
  6. Daniel Küttel
  7. Guillermo Sapiro
  8. Eduardo Simoes Lopes Gastal
  9. Carsten Rother
  10. Vittorio Ferrari

Papers from Jue Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers