Kang Lu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Lu trusts overall

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

  1. Mingxing Tan
  2. Kaiming He
  3. Shaoqing Ren
  4. Ross B. Girshick

Papers from Kang Lu's perspective

Ordered by how strongly the researchers Kang Lu 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. Microsoft COCO: Common Objects in Context
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers