Wei Wang

Computer Vision and Pattern Recognition · with Dong · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 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. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Jessica J. Fridrich
  5. Mo Chen
  6. Ilya Sutskever
  7. Radford M. Neal
  8. Yoshua Bengio
  9. Vojtech Holub

Who trusts Wei Wang overall

  1. Luisa Verdoliva
  2. Peng Zhou
  3. Duc-Tien Dang-Nguyen
  4. Davide Cozzolino
  5. Xuefeng Hu

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. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. This PDF file includes: Materials and Methods
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers