M. Andreetto

Computer Vision and Pattern Recognition · 2007–2025

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1,096 researchers here, as inferred from the citation graph.

Subfields

Whom M. Andreetto trusts overall

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

  1. Christian Szegedy

Who trusts M. Andreetto overall

  1. Jiahui Yu
  2. Sachin Mehta
  3. Ji Lin
  4. Liang-Chieh Chen
  5. Han Cai
  6. Quoc V. Le
  7. Bichen Wu
  8. Tien-Ju Yang
  9. Mingxing Tan
  10. Zhiqiang Shen

Papers from M. Andreetto's perspective

Ordered by how strongly the researchers M. Andreetto 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. Rethinking the Inception Architecture for Computer Vision
  8. Gradient-based learning applied to document recognition
  9. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers