Hongsheng Li

Computer Vision and Pattern Recognition · with Dai · 2024

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongsheng Li trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Jia Deng (in Computer Vision and Pattern Recognition)
  3. Jonathan Ho (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Hongsheng Li's perspective

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

  1. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  4. Denoising Diffusion Implicit Models
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. ImageNet: A large-scale hierarchical image database
  8. LoRA: Low-Rank Adaptation of Large Language Models (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers