Jay Zhangjie Wu

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 5 papers; trusts 249 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jay Zhangjie Wu trusts overall

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

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

Who trusts Jay Zhangjie Wu overall

  1. Xintao Wang
  2. Duygu Ceylan
  3. Michal Geyer
  4. Xiaodong Cun
  5. Patrick Esser
  6. Shaoteng Liu
  7. Yabo Zhang
  8. Ming Cao
  9. Rongyuan Wu
  10. Chenyang Qi

Papers from Jay Zhangjie Wu's perspective

Ordered by how strongly the researchers Jay Zhangjie 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers