Fabio Maninchedda

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fabio Maninchedda trusts overall

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

  1. David Nistér

Papers from Fabio Maninchedda's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. A volumetric method for building complex models from range images
  3. TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
  4. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  5. Random Forests
  6. ImageNet classification with deep convolutional neural networks
  7. 3D ShapeNets: A deep representation for volumetric shapes
  8. Poisson surface reconstruction
  9. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers