Min Zuo

Computer Vision and Pattern Recognition · Water Research · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Zuo trusts overall

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

  1. Ross B. Girshick

Papers from Min Zuo's perspective

Ordered by how strongly the researchers Min Zuo 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 Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Microsoft COCO: Common Objects in Context
  7. Densely Connected Convolutional Networks
  8. Gradient-based learning applied to document recognition
  9. Fast R-CNN
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers