Mingqi Gao

Computer Vision and Pattern Recognition · with Wang · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingqi Gao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Andrew Zisserman
  8. Tsung-Yi Lin
  9. Piotr Doll'ar
  10. Yann LeCun

Papers from Mingqi Gao's perspective

Ordered by how strongly the researchers Mingqi Gao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers