Songyou Peng

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 743 researchers and is trusted by 95 researchers here, as inferred from the citation graph.

Subfields

Whom Songyou Peng trusts overall

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

  1. Diederik P. Kingma
  2. Michael Niemeyer
  3. Geoffrey E. Hinton
  4. Lars M. Mescheder
  5. Kaiming He
  6. Andreas Geiger
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Songyou Peng overall

  1. Zehao Yu
  2. Andreas Geiger
  3. Anpei Chen
  4. Michael Niemeyer
  5. Matthew Tancik
  6. Eric Chan
  7. Christian Reiser
  8. Ang Cao
  9. Guangcong Wang
  10. Antoine Guédon

Papers from Songyou Peng's perspective

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

Their papers