Kuanquan Wang

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Kuanquan Wang trusts overall

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

  1. Yijun Sun
  2. David Dapeng Zhang
  3. Olivier Chapelle
  4. Ran Gilad-Bachrach
  5. Jason Aaron Edward Weston
  6. Jacob Goldberger
  7. Vladimir Naumovich Vapnik
  8. Geoffrey E. Hinton
  9. Alexander R. Statnikov
  10. Peter N. Belhumeur

Who trusts Kuanquan Wang overall

  1. David Dapeng Zhang
  2. Adams Wai-Kin Kong
  3. Connie Tee
  4. Ajay Kumar
  5. Dr. Prabira Kumar Sethy
  6. Wei Jia

Papers from Kuanquan Wang's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Fully convolutional networks for semantic segmentation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers