Peng Wu

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 203 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Wu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Jia Deng
  10. Felipe Codevilla

Who trusts Peng Wu overall

  1. Pranav Singh Chib
  2. Daniel Dauner
  3. Li Chen
  4. Pravendra Singh
  5. Kashyap Chitta
  6. Chonghao Sima
  7. Marcel Hallgarten
  8. Andreas Geiger

Papers from Peng Wu's perspective

Ordered by how strongly the researchers Peng Wu 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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