Qianqian Wang

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 5 papers; trusts 386 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Qianqian Wang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Johannes L. Schönberger
  5. Alex Krizhevsky
  6. David G. Lowe
  7. Jimmy Ba
  8. Yoshua Bengio
  9. Sergey Ioffe
  10. Yann LeCun

Who trusts Qianqian Wang overall

  1. Anpei Chen
  2. Ben Mildenhall
  3. Zexiang Xu
  4. Peter Hedman
  5. Philipp Henzler
  6. Jeremy Reizenstein
  7. Jonathan T. Barron
  8. Yinghao Xu
  9. Cheng Sun
  10. Haithem Turki

Papers from Qianqian Wang's perspective

Ordered by how strongly the researchers Qianqian 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers