Qiang Zhou

Computer Vision and Pattern Recognition · with Cai · 2018

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Zhou trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Xiaoou Tang (in Computer Vision and Pattern Recognition)
  4. Xiaogang Wang (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  9. Trevor Darrell (in Computer Vision and Pattern Recognition)
  10. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Qiang Zhou's perspective

Ordered by how strongly the researchers Qiang 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. Caffe: Convolutional Architecture for Fast Feature Embedding
  4. Gradient-based learning applied to document recognition
  5. Going deeper with convolutions
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers