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Lorenzo Putzu
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- affiliation: University of Cagliari, Italy
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2020 – today
- 2024
- [j9]Rita Delussu
, Lorenzo Putzu, Giorgio Fumera:
Synthetic Data for Video Surveillance Applications of Computer Vision: A Review. Int. J. Comput. Vis. 132(10): 4473-4509 (2024) - 2023
- [j8]Rita Delussu
Human-in-the-loop cross-domain person re-identification. Expert Syst. Appl. 226: 120216 (2023) - [j7]Cecilia Di Ruberto
On The Potential of Image Moments for Medical Diagnosis. J. Imaging 9(3): 70 (2023) - [c28]Lorenzo Putzu
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario. ICIAP Workshops (2) 2023: 3-14 - [c27]Emanuele Ledda
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. ICIAP (2) 2023: 307-319 - [c26]Rita Delussu
Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks. ICIAP Workshops (1) 2023: 330-342 - [c25]Lorenzo Putzu
Specialise to Generalise: The Person Re-identification Case. ICIAP (2) 2023: 381-392 - [c24]Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Giorgio Fumera, Fabio Roli:
Trustworthy AI in Video Surveillance: The IMMAGINA Project. Ital-IA 2023: 371-376 - 2022
- [j6]Rita Delussu, Lorenzo Putzu
Scene-specific crowd counting using synthetic training images. Pattern Recognit. 124: 108484 (2022) - [c23]Emanuele Ledda
On the Evaluation of Video-Based Crowd Counting Models. ICIAP (3) 2022: 301-311 - [c22]Rita Delussu, Lorenzo Putzu
On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models. ICPR 2022: 1208-1214 - 2021
- [c21]Emanuele Ledda
How Realistic Should Synthetic Images Be for Training Crowd Counting Models? CAIP (2) 2021: 46-56 - [c20]Lorenzo Putzu
Automatic Myelofibrosis Grading from Silver-Stained Images. CAIP (1) 2021: 195-205 - [c19]Lorenzo Putzu
Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval. CAIP (1) 2021: 287-297 - 2020
- [j5]Cecilia Di Ruberto
Detection of red and white blood cells from microscopic blood images using a region proposal approach. Comput. Biol. Medicine 116: 103530 (2020) - [j4]Lorenzo Putzu
Convolutional neural networks for relevance feedback in content based image retrieval. Multim. Tools Appl. 79(37-38): 26995-27021 (2020) - [c18]Rita Delussu, Lorenzo Putzu
Online Domain Adaptation for Person Re-Identification with a Human in the Loop. ICPR 2020: 3829-3836 - [c17]Rita Delussu, Lorenzo Putzu, Giorgio Fumera:
Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios. VISIGRAPP (4: VISAPP) 2020: 365-372 - [c16]Rita Delussu, Lorenzo Putzu, Giorgio Fumera:
An Empirical Evaluation of Cross-scene Crowd Counting Performance. VISIGRAPP (4: VISAPP) 2020: 373-380
2010 – 2019
- 2019
- [c15]Cecilia Di Ruberto
A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Images. ICIAP (2) 2019: 47-58 - 2018
- [j3]Cecilia Di Ruberto
Fast and accurate computation of orthogonal moments for texture analysis. Pattern Recognit. 83: 498-510 (2018) - [c14]Lorenzo Putzu
Ten Years of Relevance Score for Content Based Image Retrieval. MLDM (2) 2018: 117-131 - [c13]Simone Porcu
White Blood Cells Counting Via Vector Field Convolution Nuclei Segmentation. VISIGRAPP (4: VISAPP) 2018: 227-234 - [i1]Cecilia Di Ruberto, Lorenzo Putzu, Giuseppe Rodriguez:
Fast and accurate computation of orthogonal moments for texture analysis. CoRR abs/1803.00638 (2018) - 2017
- [c12]Cecilia Di Ruberto
Histological Image Analysis by Invariant Descriptors. ICIAP (1) 2017: 345-356 - [c11]Lorenzo Putzu
Rotation Invariant Co-occurrence Matrix Features. ICIAP (1) 2017: 391-401 - 2016
- [b1]Lorenzo Putzu:
Computer aided diagnosis algorithms for digital microscopy. University of Cagliari, Italy, 2016 - [j2]Cecilia Di Ruberto
A leucocytes count system from blood smear images - Segmentation and counting of white blood cells based on learning by sampling. Mach. Vis. Appl. 27(8): 1151-1160 (2016) - [c10]Lorenzo Putzu
A Mobile Application for Leaf Detection in Complex Background Using Saliency Maps. ACIVS 2016: 570-581 - [c9]Andrea Loddo
A Computer-Aided System for Differential Count from Peripheral Blood Cell Images. SITIS 2016: 112-118 - 2015
- [c8]Cecilia Di Ruberto
A Multiple Classifier Learning by Sampling System for White Blood Cells Segmentation. CAIP (2) 2015: 415-425 - [c7]Cecilia Di Ruberto
On Different Colour Spaces for Medical Colour Image Classification. CAIP (1) 2015: 477-488 - [c6]Cecilia Di Ruberto
Learning by Sampling for White Blood Cells Segmentation. ICIAP (1) 2015: 557-567 - [c5]Cecilia Di Ruberto
Comparison of Statistical Features for Medical Colour Image Classification. ICVS 2015: 3-13 - 2014
- [j1]Lorenzo Putzu
Leucocyte classification for leukaemia detection using image processing techniques. Artif. Intell. Medicine 62(3): 179-191 (2014) - [c4]Cecilia Di Ruberto
Accurate Blood Cells Segmentation through Intuitionistic Fuzzy Set Threshold. SITIS 2014: 57-64 - [c3]Cecilia Di Ruberto, Lorenzo Putzu:
A Fast Leaf Recognition Algorithm based on SVM Classifier and High Dimensional Feature Vector. VISAPP (1) 2014: 601-609 - 2013
- [c2]Lorenzo Putzu
Investigation of Different Classification Models to Determine the Presence of Leukemia in Peripheral Blood Image. ICIAP (1) 2013: 612-621 - [c1]Lorenzo Putzu, Cecilia Di Ruberto:
White Blood Cells Identication and Classication from Leukemic Blood Image. IWBBIO 2013: 99-106
Coauthor Index
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