Lorenzo Putzu
Università degli Studi di Cagliari
H-index: 14
Europe-Italy
Top articles of Lorenzo Putzu
Human-in-the-loop cross-domain person re-identification
Expert Systems with Applications
2023/9/15
Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks
2023/9/11
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario
2023/9/11
Lorenzo Putzu
H-Index: 11
Andrea Loddo
H-Index: 6
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting
2023/9/5
Specialise to Generalise: The Person Re-identification Case
2023/9/5
On The Potential of Image Moments for Medical Diagnosis
Journal of Imaging
2023/3/17
Special Issue on Image Processing Techniques for Biomedical Applications
2022/10/14
On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models
2022/8/1
On the evaluation of video-based crowd counting models
2022/5/15
Scene-specific crowd counting using synthetic training images
Pattern Recognition
2022/4/1
On the reliability of CNNs in clinical practice: a computer-aided diagnosis system case study
Applied Sciences
2022/3/23
Andrea Loddo
H-Index: 6
Lorenzo Putzu
H-Index: 11
Trustworthy AI in Video Surveillance: The IMMAGINA Project
2022
Invariant moments, textural and deep features for diagnostic MR and CT image retrieval
2021/9/28
On the effectiveness of leukocytes classification methods in a real application scenario
Ai
2021/8/25
Andrea Loddo
H-Index: 6
Lorenzo Putzu
H-Index: 11
Online domain adaptation for person re-identification with a human in the loop
2021/1/10
Automatic Myelofibrosis Grading from Silver-Stained Images
2021
Lorenzo Putzu
H-Index: 11
Giorgio Fumera
H-Index: 26
How realistic should synthetic images be for training crowd counting models?
2021
An empirical evaluation of nuclei segmentation from H&E images in a real application scenario
Applied Sciences
2020/11/10
Lorenzo Putzu
H-Index: 11
Giorgio Fumera
H-Index: 26
Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both …
Multimedia Tools and Applications
2020/10
Investigating synthetic data sets for crowd counting in cross-scene scenarios
2020
