Peisong Wang

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 534 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Peisong Wang trusts overall

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

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

Who trusts Peisong Wang overall

  1. Elias Frantar
  2. Wujie Wen
  3. Zhenhua Liu
  4. Yuhang Li
  5. Gaurav Menghani
  6. Cong Xu
  7. Dan Alistarh
  8. S. Cong
  9. Saleh Ashkboos
  10. Yunhe Wang

Papers from Peisong Wang's perspective

Ordered by how strongly the researchers Peisong Wang 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers