Ning Wang

Computer Vision and Pattern Recognition · ECCV Workshops · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 579 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Wang trusts overall

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

  1. Martin Danelljan
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Ning Wang overall

  1. Jianwei Yang
  2. Yiming Li
  3. Zhipeng Zhang
  4. Changhong Fu
  5. Ziyuan Huang
  6. Christoph Mayer
  7. Houwen Peng
  8. Youngwan Lee
  9. Seyed Mojtaba Marvasti-Zadeh
  10. Allan Jabri

Papers from Ning Wang's perspective

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

Their papers