Wei Wang

Computer Vision and Pattern Recognition · with Luo · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

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

  1. Ivan Laptev
  2. Jianchao Yang
  3. Piotr Doll'ar
  4. Qiang Zhang
  5. David G. Lowe
  6. Geoffrey E. Hinton
  7. Julien Mairal
  8. Alex Krizhevsky
  9. Kaiming He
  10. Cordelia Schmid

Who trusts Wei Wang overall

  1. Amir Shahroudy
  2. Jun Liu
  3. Yu Kong
  4. Yong Du
  5. Guillermo Garcia-Hernando
  6. Behrooz Mahasseni
  7. G. Wang
  8. Tian-Tsong Ng
  9. Diogo Carbonera Luvizon
  10. Tommi Kerola

Papers from Wei Wang's perspective

Ordered by how strongly the researchers Wei Wang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers