Ting Lu

Computer Vision and Pattern Recognition · with Fang · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Lu trusts overall

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

  1. Jon Atli Benediktsson
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yushi Chen
  6. Yann LeCun

Papers from Ting Lu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. A Fast Learning Algorithm for Deep Belief Nets
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers