Mang Ye

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 13 papers; trusts 1,507 researchers and is trusted by 127 researchers here, as inferred from the citation graph.

Subfields

Whom Mang Ye trusts overall

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

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

Who trusts Mang Ye overall

  1. Guan'an Wang
  2. Jianbing Shen
  3. Xiangyuan Lan
  4. Seokeon Choi
  5. Xinlei Chen
  6. Kaiming He
  7. Tianzhu Zhang
  8. Pong Chi Yuen
  9. Diangang Li
  10. Zhixiang Wang

Papers from Mang Ye's perspective

Ordered by how strongly the researchers Mang Ye 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers