Jun Wu

Computer Vision and Pattern Recognition · with Chen · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Wu trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Jia Deng
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Jun Wu overall

  1. Shancang Li
  2. Mahmoud I. Kamel
  3. Xiangxiang Chu
  4. Fan Liu
  5. Lida Xu
  6. Walaa Hamouda
  7. Yuhui Xu
  8. Kevin Alexander Laube
  9. Hussein A. Ammar

Papers from Jun Wu's perspective

Ordered by how strongly the researchers Jun Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers