Baoyun Peng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Baoyun Peng trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ross B. Girshick
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Baoyun Peng overall

  1. Zhicheng Sun
  2. Jianping Gou
  3. Yu Liu
  4. Yonglong Tian
  5. Rafael Müller
  6. Xiaojie Li
  7. Lin Wang
  8. Mingi Ji
  9. Ajinkya Tejankar
  10. Kandan Ramakrishnan

Papers from Baoyun Peng's perspective

Ordered by how strongly the researchers Baoyun Peng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers