Yiwei Ma

Computer Vision and Pattern Recognition · with Fu · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiwei Ma trusts overall

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

  1. Joseph Redmon
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Kaiming He

Papers from Yiwei Ma's perspective

Ordered by how strongly the researchers Yiwei 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. Gradient-based learning applied to document recognition
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Object Detection with Discriminatively Trained Part Based Models
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers