Hongwei Qin

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 6 papers; trusts 550 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongwei Qin trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Yann LeCun
  9. Sergey Ioffe
  10. Jia Deng

Papers from Hongwei Qin's perspective

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

Their papers