Chengcheng Ma

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chengcheng Ma trusts overall

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

  1. Gong Cheng
  2. Yi Yang
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Junwei Han
  7. Andrew Zisserman
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Jia Deng

Papers from Chengcheng Ma's perspective

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

Their papers