Donglin Di

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Donglin Di trusts overall

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

  1. Piotr Doll'ar
  2. Olga Russakovsky
  3. Kaiming He
  4. Tsung-Yi Lin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. Andrew Zisserman
  9. Ranjay Krishna
  10. Jia Deng

Papers from Donglin Di's perspective

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

Their papers