Meng Ma

Computer Vision and Pattern Recognition · with Wang · 2019

A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meng Ma trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Sergey Ioffe
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. Ross B. Girshick

Papers from Meng Ma's perspective

Ordered by how strongly the researchers Meng Ma trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Learning Multiple Layers of Features from Tiny Images
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers