Lei Li

Computer Vision and Pattern Recognition · with Cui · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Li trusts

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

  1. L. Eon Bottou (in Optimization & Training)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)

Papers from Lei Li's perspective

Ordered by how strongly the researchers Lei Li 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. Attention is All you Need (Neural Information Processing Systems)
  3. Densely Connected Convolutional Networks
  4. Fully convolutional networks for semantic segmentation
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. ImageNet classification with deep convolutional neural networks
  9. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers