Qianli Ma

Computer Vision and Pattern Recognition · with Cao · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qianli Ma trusts overall

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

  1. Diederik P. Kingma
  2. Kyunghyun Cho
  3. Herbert Jaeger
  4. Geoffrey E. Hinton
  5. Yong Du
  6. Di Wu
  7. Dima Damen
  8. Jimmy Ba
  9. Ronan Collobert
  10. Lu Xia

Papers from Qianli Ma's perspective

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

Their papers