Long Ma

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 149 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Long Ma trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Xiaojie Guo
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Wenhan Yang
  9. Karen Simonyan
  10. L. V. D. van der Maaten

Who trusts Long Ma overall

  1. Hao Bian
  2. Jing Lin
  3. Xiaogang Xu

Papers from Long Ma's perspective

Ordered by how strongly the researchers Long 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers