Jing Tian

Computer Vision and Pattern Recognition · with Ma · 2011

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Tian trusts overall

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

  1. Håvard Rue
  2. Kwang In Kim
  3. William T. Freeman
  4. Arthur P. Dempster
  5. Hong Chang
  6. Jianchao Yang
  7. Aaron Hertzmann
  8. Leonhard Held
  9. Younghee Kwon
  10. Nan M. Laird

Who trusts Jing Tian overall

  1. Jose Caballero

Papers from Jing Tian's perspective

Ordered by how strongly the researchers Jing Tian 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers