Sean Ma

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 110 researchers and is trusted by 6,744 researchers here, as inferred from the citation graph.

Subfields

Whom Sean Ma trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. David G. Lowe
  4. Antonio Torralba
  5. Rob Fergus
  6. Matthew D. Zeiler
  7. Florent Perronnin
  8. Andrew Zisserman
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Sean Ma overall

  1. Andrea Vedaldi
  2. Trevor Darrell
  3. Kaiming He
  4. Yoshua Bengio
  5. Yi Yang
  6. Abhinav Kumar Gupta
  7. Liang-Chieh Chen
  8. Wanli Ouyang
  9. Andrew Zisserman
  10. Luc Van Gool

Papers from Sean Ma's perspective

Ordered by how strongly the researchers Sean 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. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Long Short-Term Memory

Their papers