Kaisheng Ma

Computer Vision and Pattern Recognition · with Zhang · 2019–2021

A researcher in the Science corpus: 6 papers; trusts 855 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kaisheng Ma trusts overall

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

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

Who trusts Kaisheng Ma overall

  1. Tao Huang
  2. Changyong Shu
  3. Zhendong Yang
  4. Fartash Faghri

Papers from Kaisheng Ma's perspective

Ordered by how strongly the researchers Kaisheng Ma 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers