Di Qi

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Di Qi trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Ross B. Girshick
  9. Yann LeCun
  10. Andrej Karpathy

Who trusts Di Qi overall

  1. Zhu Zhang
  2. Sohail Ahmed Khan
  3. Wonjae Kim
  4. Tobias Norlund
  5. Krishna Srinivasan
  6. Jaemin Cho
  7. Chao Jia
  8. Jun Chen
  9. Zhicheng Huang
  10. Nicola Messina

Papers from Di Qi's perspective

Ordered by how strongly the researchers Di Qi 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers