Baoli Li

Computer Vision and Pattern Recognition · with Hu · 2016

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baoli Li trusts overall

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

  1. Ross B. Girshick
  2. Alex Krizhevsky
  3. Christian Szegedy
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Yann LeCun

Papers from Baoli Li's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Going deeper with convolutions
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Gradient-based learning applied to document recognition
  9. Microsoft COCO: Common Objects in Context
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers