TR-MNIST: Time-Resolved MNIST Dataset for low-light imaging



Dataset Download

Adversarial Scratches: Deployable Attecks to CNNs

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

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

Class Distribution Monitoring For Concept Drift Detection

Augmented Grad-CAM: high resolution heatmaps through data augmentation



Code on Github ,   ICASSP 2020 Paper Preprint

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

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

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

Controlling the Change Magnitude. Matlab Code.

Hierarchical CDTs (updated on March, 2016)

Foveated self-similarity in nonlocal image filtering

Self Similarity Change-Detection Test

The Blur/Noise Trade Off

Motion Blurred Images Generation Codes

DataSets

References

[Suonsivu et al. 2024] Time-Resolved MNIST Dataset for Single-Photon Recognition
Aleksi Suonsivu, Lauri Salmela, Edoardo Peretti, Leevi Uosukainen, Radu Ciprian Bilcu, and Giacomo Boracchi, European Conference on Computer Vision, Synthethic Data for Computer Vision Workshop, 2024

[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),