Peng Zhou

Computer Vision and Pattern Recognition · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 13 papers; trusts 319 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Zhou trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Yuan Lou
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Yann LeCun
  8. Tsung-Yi Lin
  9. Yoshua Bengio
  10. Xiao-Qiang Zhao

Who trusts Peng Zhou overall

  1. Mingxin Wang
  2. Yonggang Zhao
  3. De Tang
  4. Xiao-Qiang Zhao
  5. Anamika Dhillon
  6. Siliang Ma
  7. Zhenwei He
  8. Zhanchao Huang
  9. Mingxing Tan
  10. Dongmei Xiao

Papers from Peng Zhou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers