Fengchun Qiao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 259 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fengchun Qiao trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Oriol Vinyals
  10. J. Urgen Schmidhuber

Who trusts Fengchun Qiao overall

  1. Jiaxing Huang
  2. Kaiyang Zhou
  3. Quande Liu
  4. Zijian Wang
  5. Xingxuan Zhang
  6. Mengmeng Ma
  7. Xiang Wang
  8. Long Zhao
  9. Dayan Guan
  10. Ziwei Liu

Papers from Fengchun Qiao's perspective

Ordered by how strongly the researchers Fengchun Qiao 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers