Guibin Tian

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Guibin Tian trusts overall

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

  1. Alex Smola
  2. Bernhard Schölkopf
  3. Moncef Gabbouj

Who trusts Guibin Tian overall

  1. Te-Yuan Huang
  2. Ramesh Johari
  3. Nick McKeown

Papers from Guibin Tian's perspective

Ordered by how strongly the researchers Guibin Tian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers