Bihan Jiang

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 104 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Bihan Jiang trusts overall

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

  1. Michel François Valstar
  2. Maja Pantic
  3. Takeo Kanade
  4. David G. Lowe
  5. Geoffrey E. Hinton
  6. Paul Ekman
  7. Jeffrey F. Cohn
  8. Navneet Dalal
  9. Piotr Doll'ar
  10. Ying-li Tian

Who trusts Bihan Jiang overall

  1. Tadas Baltrusaitis
  2. Mohammad Rostami
  3. Björn Schuller
  4. Michel François Valstar
  5. Brais Martínez
  6. Shan Li
  7. Ali Mollahosseini
  8. Yale Song

Papers from Bihan Jiang's perspective

Ordered by how strongly the researchers Bihan Jiang 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. Histograms of oriented gradients for human detection
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers