Michele Stoppa

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Michele Stoppa trusts overall

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

  1. Per-Erik Forssén
  2. Vittorio Ferrari

Who trusts Michele Stoppa overall

  1. Liang Zheng
  2. Rui Zhao
  3. Riccardo Satta
  4. Xiaogang Wang
  5. Chi Su
  6. Yi Yang
  7. Wei Li
  8. Xiatian Zhu
  9. Weishi Zheng

Papers from Michele Stoppa's perspective

Ordered by how strongly the researchers Michele Stoppa 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. Pictorial Structures for Object Recognition
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Progressive search space reduction for human pose estimation

Their papers