Dahua Lin

Computer Vision and Pattern Recognition · with Fu · 2024

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dahua Lin trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Jitendra Malik (in Computer Vision and Pattern Recognition)
  4. Rob Fergus (in Computer Vision and Pattern Recognition)
  5. Jonathan Ho (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Dahua Lin's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  3. Indoor Segmentation and Support Inference from RGBD Images
  4. Feature Pyramid Networks for Object Detection
  5. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  6. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture
  7. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  8. Vision meets robotics: The KITTI dataset
  9. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  10. Denoising Diffusion Implicit Models

Their papers