Qiang Wang

Computer Vision and Pattern Recognition · European Conference on Computer Vision · 2015–2022

A researcher in the Science corpus: 11 papers; trusts 1,066 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Qiang Wang trusts overall

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

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

Who trusts Qiang Wang overall

  1. Martin Danelljan
  2. Seyed Mojtaba Marvasti-Zadeh
  3. Yu Yu
  4. Paul Voigtlaender
  5. Bin Yan
  6. Zedu Chen
  7. Goutam Bhat
  8. Ning Wang
  9. Heng Fan
  10. Chung-Ching Lin

Papers from Qiang Wang's perspective

Ordered by how strongly the researchers Qiang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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