Zeyu Zhang

Computer Vision and Pattern Recognition · with Bowers · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zeyu Zhang trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Trevor Darrell (in Computer Vision and Pattern Recognition)
  3. Jitendra Malik (in Computer Vision and Pattern Recognition)
  4. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  5. Karen Simonyan (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. David G. Lowe (in Computer Vision and Pattern Recognition)
  10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Zeyu Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Caffe: Convolutional Architecture for Fast Feature Embedding
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers