Ce Zhou

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ce Zhou trusts overall

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

  1. Karen Simonyan
  2. Christopher K. I. Williams
  3. Andrea Vedaldi
  4. Andrew Zisserman
  5. Luca Bertinetto
  6. Kaiming He
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Ross B. Girshick

Who trusts Ce Zhou overall

  1. Zhipeng Zhang
  2. Martin Danelljan
  3. Dongyan Guo
  4. Qiang Wang

Papers from Ce Zhou's perspective

Ordered by how strongly the researchers Ce Zhou 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 classification with deep convolutional neural networks
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers