Gastone Ciuti

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Gastone Ciuti trusts overall

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

  1. Xianghua Xie
  2. Ajay Kumar
  3. Markos Markou
  4. Shaoqing Ren
  5. Timo Ojala

Who trusts Gastone Ciuti overall

  1. Sehyuk Yim
  2. Jake J. Abbott
  3. Metin Sitti
  4. Andrew J. Petruska
  5. Eric D. Diller

Papers from Gastone Ciuti's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  3. Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (Comput. Aided Civ. Infrastructure Eng.)
  4. A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Novelty detection: a review - part 1: statistical approaches
  8. Defect detection in textured materials using Gabor filters (Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129))
  9. Color indexing
  10. Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection

Their papers