GIACOMO BORACCHI - Projects and Datasets
 


Projects (click on the name to get access to resources)

QT-EWMA: A Powerful Monitoring Scheme for Multivariate Datastreams Controlling False Alarms
Test Statistic Of QT-EWMA


Wafer Defect Map Monitoring by Deep Learning Models -- In collaboration with STMicroelectronics
Defects in Wafer Defect Maps


Class Distribution Monitoring For Concept Drift Detection

Benefits of Class Distribution Monitoring


Augmented Grad-CAM: high resolution heatmaps through data augmentation

AugmentedGradCAM vs Grad-CAM

Code on Github ,   ICASSP 2020 Paper Preprint



QuantTrees: Trees for Change-Detection (Download Source Code)

QuantTrees Construction


Anomaly Detection using Sparse Representation. Defect Detection on Nanofiber project. Code and Datasetavailable.

Detected Anomalies


ECG Monitoring using a Wearble Device Demo: A Wearable Device for Online and Long-Term ECG Monitoring.

Wearable Device for ECG Monitoring


Controlling the Change Magnitude. Matlab Code.

Illustration of CCM algorithm


Hierarchical CDTs (updated on March, 2016)

Hierarchical CDTs


Foveated self-similarity in nonlocal image filtering

Foveated self-similarity in nonlocal image filtering


Self Similarity Change-Detection Test

Self Similarity Change-Detection Test


The Blur/Noise Trade Off

The Blur/Noise Trade Off Project Page


Motion Blurred Images Generation Codes

Motion Blurred Images Generation Codes




DataSets

Blurred Raw Images and PSF Dataset used in [Boracchi and Foi 2012].   Dataset Description

Uniform Blur: Raw Images and PSF Dataset used in [Boracchi and Foi 2011].   Download



References

[Boracchi and Foi 2012] Modeling the Performance of Image Restoration from Motion Blur
Giacomo Boracchi and Alessandro Foi,
Image Processing, IEEE Transactions on. vol.21, no.8, pp. 3502 - 3517, Aug. 2012, doi:10.1109/TIP.2012.2192126
(Preprint), (BibTeX), (Original)

[Boracchi and Foi 2011] Uniform motion blur in Poissonian noise: blur/noise trade-off
Giacomo Boracchi and Alessandro Foi,
Image Processing, IEEE Transactions on. vol. 20, no. 2, pp. 592-598, Feb. 2011
doi: 10.1109/TIP.2010.2062196
(Preprint), (BibTeX), (Original),