Chenfei Wu

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 5 papers; trusts 324 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chenfei Wu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Alec Radford
  7. Ilya Sutskever
  8. Aäron van den Oord
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Chenfei Wu overall

  1. Lijun Yu
  2. Bo Li
  3. Jiuniu Wang
  4. Yabo Zhang
  5. Agrim Gupta
  6. Penghao Wu
  7. Ruben Villegas
  8. Jay Zhangjie Wu
  9. Yanwei Li
  10. Andreas Blattmann

Papers from Chenfei Wu's perspective

Ordered by how strongly the researchers Chenfei 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers