Matia Pizzoli

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Matia Pizzoli trusts overall

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

  1. Richard A. Newcombe
  2. Christian Forster
  3. Antonin Chambolle
  4. Andrew J. Davison
  5. Davide Scaramuzza
  6. Steven J. Lovegrove
  7. Georg S. W. Klein
  8. Jürgen Sturm
  9. Edward Rosten
  10. Thomas Pock

Who trusts Matia Pizzoli overall

  1. Christian Forster
  2. Jakob J. Engel
  3. Davide Scaramuzza
  4. Christoforos Kanellakis
  5. Ruben Gomez-Ojeda
  6. Daniel Cremers
  7. Nan Yang
  8. Davide Falanga
  9. Matthias Faessler
  10. Rui Wang

Papers from Matia Pizzoli's perspective

Ordered by how strongly the researchers Matia Pizzoli trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
  5. Nonlinear total variation based noise removal algorithms
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A benchmark for the evaluation of RGB-D SLAM systems
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. DTAM: Dense tracking and mapping in real-time
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers