Jiaxiang Shang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaxiang Shang trusts overall

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

  1. Kaiming He
  2. Jia Deng
  3. Dushyant Mehta
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Francesc Moreno-Noguer
  8. John C. Gower
  9. Yann LeCun
  10. Jitendra Malik

Who trusts Jiaxiang Shang overall

  1. Gyeongsik Moon
  2. Jiefeng Li
  3. Georgios Pavlakos
  4. Diogo Carbonera Luvizon
  5. Muhammed Kocabas
  6. Yucheng Chen
  7. Donglai Xiang
  8. Grégory Rogez
  9. Jun Liu
  10. Pavlo Molchanov

Papers from Jiaxiang Shang's perspective

Ordered by how strongly the researchers Jiaxiang Shang 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers