Jiageng Mao

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2020–2022

A researcher in the Science corpus: 5 papers; trusts 538 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiageng Mao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts Jiageng Mao overall

  1. Yukang Chen
  2. Yujing Xue
  3. Mohit Shridhar
  4. Lingchen Meng
  5. Xuyang Bai
  6. Lue Fan
  7. Yang Liu

Papers from Jiageng Mao's perspective

Ordered by how strongly the researchers Jiageng Mao 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers