Liefeng Bo

Computer Vision and Pattern Recognition · with Zhang · 2023

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liefeng Bo trusts

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

  1. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Thomas Brox (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Liefeng Bo's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. GENERATIVE ADVERSARIAL NETS
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. ImageNet classification with deep convolutional neural networks
  7. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  8. AUTO-ENCODING VARIATIONAL BAYES
  9. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  10. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)

Their papers