Zheng Zhu

Computer Vision and Pattern Recognition · with Guo · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng Zhu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. X. Zhang (in Computer Vision and Pattern Recognition)
  4. David G. Lowe (in Computer Vision and Pattern Recognition)
  5. Rob Fergus (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Zheng Zhu's perspective

Ordered by how strongly the researchers Zheng Zhu 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. ImageNet: A large-scale hierarchical image database
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. The Cityscapes Dataset for Semantic Urban Scene Understanding
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Decoupled Weight Decay Regularization
  7. ImageNet classification with deep convolutional neural networks
  8. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
  9. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
  10. Image quality assessment: from error visibility to structural similarity

Their papers