Wei Li

Computer Vision and Pattern Recognition · with Hu · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Li trusts overall

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

  1. Alex Krizhevsky

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei 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. Learning Multiple Layers of Features from Tiny Images
  3. ImageNet: A large-scale hierarchical image database
  4. ImageNet classification with deep convolutional neural networks
  5. A Style-Based Generator Architecture for Generative Adversarial Networks
  6. Large Scale GAN Training for High Fidelity Natural Image Synthesis
  7. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  8. Gradient-based learning applied to document recognition
  9. Training data-efficient image transformers & distillation through attention
  10. Going deeper with convolutions

Their papers