Publications
Submitted
Submitted
Advancing Real-world Image Dehazing: A Comprehensive Dataset and Evaluation Metrics
L Celona and F PiccoliAdvancing Real-world Image Dehazing: A Comprehensive Dataset and Evaluation Metrics
Bibtex
@misc{celona2024advan,title={Advancing Real-world Image Dehazing: A Comprehensive Dataset and Evaluation Metrics},author={Luigi Celona, Flavio Piccoli},year={2024},}
Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion
S Bianco, L Celona, M Donzella, and P NapoletanoImproving Image Captioning Descriptiveness by Ranking and LLM-based Fusion
Bibtex
@misc{bianco2023improve, title={Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion},author={Simone Bianco, Luigi Celona, Marco Donzella, Paolo Napoletano},year={2023},}
Journal articles
Journal articles
13. Semi-supervised cross-lingual speech emotion recognition
M Agarla, S Bianco, L Celona, P Napoletano, A Petrovsky, F Piccoli, R Schettini, and I Shanin13. Semi-supervised cross-lingual speech emotion recognition
Bibtex
@article{agarla2022sslcrossser, title={Semi-supervised cross-lingual speech emotion recognition},author={Mirko Agarla, Simone Bianco, Luigi Celona, Paolo Napoletano, Alexey Petrovsky, Flavio Piccoli, Raimondo Schettini, Ivan Shanin},year={2023},journal={Expert Systems with Applications},editor={Elsevier}
12. Composition and Style Attributes Guided Image Aesthetic Assessment
L Celona, M Leonardi, P Napoletano, and A RozzaIEEE Transactions on Image Processing (2022)12. Composition and Style Attributes Guided Image Aesthetic Assessment
Bibtex
@article{celona2021comp, title={Composition and Style Attributes Guided Image Aesthetic Assessment},author={Luigi Celona and Marco Leonardi and Paolo Napoletano and Alessandro Rozza},year={2022},journal={Transactions on Image Processing},publisher={IEEE},volume={31},number={},pages={5009-5024},doi={10.1109/TIP.2022.3191853}}
11. Blind Image Quality Assessment of Authentically Distorted Images
L Celona and R SchettiniJOSA A (2022)11. Blind Image Quality Assessment of Authentically Distorted Images
Bibtex
@article{Celona:22,author = {Luigi Celona and Raimondo Schettini},journal = {J. Opt. Soc. Am. A},keywords = {Image metrics; Image processing; Image quality; Image quality assessment; Neural networks; Visual system},number = {6},pages = {B1--B10},publisher = {OSA},title = {Blind quality assessment of authentically distorted images},volume = {39},month = {Jun},year = {2022},url = {http://opg.optica.org/josaa/abstract.cfm?URI=josaa-39-6-B1},doi = {10.1364/JOSAA.448144},abstract = {Blind image quality assessment (BIQA) of authentically distorted images is a challenging problem due to the lack of a reference image and the coexistence of blends of distortions with unknown characteristics. In this article, we present a convolutional neural network based BIQA model. It encodes the input image into multi-level features to estimate the perceptual quality score. The proposed model is designed to predict the image quality score but is trained for jointly treating the image quality assessment as a classification, regression, and pairwise ranking problem. Experimental results on three different datasets of authentically distorted images show that the proposed method achieves comparable results with state-of-the-art methods in intra-dataset experiments and is more effective in cross-dataset experiments.},}
10. A Smart Mirror for Emotion Monitoring in Home Environments
S Bianco, L Celona, G Ciocca, D Marelli, P Napoletano, S Yu, and Raimondo SchettiniMDPI Sensors (2021)10. A Smart Mirror for Emotion Monitoring in Home Environments
Bibtex
@article{s21227453,AUTHOR = {Bianco, Simone and Celona, Luigi and Ciocca, Gianluigi and Marelli, Davide and Napoletano, Paolo and Yu, Stefano and Schettini, Raimondo},TITLE = {A Smart Mirror for Emotion Monitoring in Home Environments},JOURNAL = {Sensors},VOLUME = {21},YEAR = {2021},NUMBER = {22},ARTICLE-NUMBER = {7453},URL = {https://www.mdpi.com/1424-8220/21/22/7453},ISSN = {1424-8220},DOI = {10.3390/s21227453}}
9. A Grid Anchor based Cropping Approach Exploiting Image Aesthetics, Geometric Composition, and Semantics
L Celona, G Ciocca and P NapoletanoElsevier Expert Systems with Applications (2021)9. A Grid Anchor based Cropping Approach Exploiting Image Aesthetics, Geometric Composition, and Semantics
Bibtex
@article{celona2021grid, title={A Grid Anchor based Cropping Approach Exploiting Image Aesthetics, Geometric Composition, and Semantics},author={Luigi Celona and Gianluigi Ciocca and Paolo Napoletano},year={2021}, publisher={Elsevier},issn={0957-4174},volume={186},pages={115852},doi={10.1016/j.eswa.2021.115852},journal={Expert Systems with Applications}}
8. Disentangling Image Distortions in Deep Feature Space
S Bianco, L Celona and P NapoletanoElsevier Pattern Recognition Letters (2021)8. Disentangling Image Distortions in Deep Feature Space
Bibtex
@article{bianco2021disentangling, title={Disentangling Image Distortions in Deep Feature Space},author={Simone Bianco and Luigi Celona and Paolo Napoletano},year={2021}, publisher={Elsevier},issn={0167-8655},volume={148},pages={128--135},doi={https://doi.org/10.1016/j.patrec.2021.05.008},journal={Pattern Recognition Letters}}
7. An Efficient Method for No-reference Video Quality Assessment
M Agarla, L Celona and R SchettiniMDPI Journal of Imaging (2021)7. An Efficient Method for No-reference Video Quality Assessment
Bibtex
@article{agarla2021efficient,author = {Agarla, Mirko and Celona, Luigi and Schettini, Raimondo},title = {An Efficient Method for No-Reference Video Quality Assessment},journal = {Journal of Imaging},volume = {7},year = {2021},number = {3},article-number = {55},url = {https://www.mdpi.com/2313-433X/7/3/55},issn = {2313-433X},publisher = {Multidisciplinary Digital Publishing Institute},doi = {10.3390/jimaging7030055}}
6. A genetic algorithm to combine deep features for the aesthetic assessment of images containing faces
L Celona and R SchettiniMDPI Sensor (2021)6. A genetic algorithm to combine deep features for the aesthetic assessment of images containing faces
Bibtex
@article{celona2021gen, title={A genetic algorithm to combine deep features for the aesthetic assessment of images containing faces}, author={Celona, Luigi and Schettini, Raimondo}, journal={Sensors}, volume={21}, number={4}, article-number={1307}, year={2021}, publisher={Multidisciplinary Digital Publishing Institute},doi = {10.3390/s21041307}}
5. No-Reference Quality Assessment of In-Capture Distorted Videos
M Agarla, L Celona and R SchettiniMDPI Journal of Imaging (2020)5. No-Reference Quality Assessment of In-Capture Distorted Videos
Bibtex
@article{agarla2020no, title={No-Reference Quality Assessment of In-Capture Distorted Videos}, author={Agarla, Mirko and Celona, Luigi and Schettini, Raimondo}, journal={Journal of Imaging}, volume={6}, number={8}, pages={74}, year={2020}, publisher={Multidisciplinary Digital Publishing Institute}}
4. Benchmark analysis of representative deep neural network architectures
S Bianco, R Cadene, L Celona and P NapoletanoIEEE Access (2018)4. Benchmark analysis of representative deep neural network architectures
Bibtex
@article{bianco2018benchmark, title={Benchmark analysis of representative deep neural network architectures}, author={Bianco, Simone and Cadene, Remi and Celona, Luigi and Napoletano, Paolo}, journal={IEEE Access}, volume={6}, pages={64270--64277}, year={2018}, publisher={IEEE}
}
3. Fine-grained face annotation using deep multi-task cnn
L Celona, S Bianco and R SchettiniMDPI Sensors (2018)3. Fine-grained face annotation using deep multi-task cnn
Bibtex
@article{celona2018fine, title={Fine-grained face annotation using deep multi-task cnn}, author={Celona, Luigi and Bianco, Simone and Schettini, Raimondo}, journal={Sensors}, volume={18}, number={8}, pages={2666}, year={2018}, publisher={Multidisciplinary Digital Publishing Institute}}
2. On the use of deep learning for blind image quality assessment
S Bianco, L Celona, P Napoletano and R SchettiniSpringer Signal, Image and Video Processing (2018)2. On the use of deep learning for blind image quality assessment
Bibtex
@article{bianco2018use, title={On the use of deep learning for blind image quality assessment}, author={Bianco, Simone and Celona, Luigi and Napoletano, Paolo and Schettini, Raimondo}, journal={Signal, Image and Video Processing}, volume={12}, number={2}, pages={355--362}, year={2018}, publisher={Springer}
}
- Robust smile detection using convolutional neural networks
Bibtex
@article{bianco2016robust, title={Robust smile detection using convolutional neural networks}, author={Bianco, Simone and Celona, Luigi and Schettini, Raimondo}, journal={Journal of Electronic Imaging}, volume={25}, number={6}, pages={063002}, year={2016}, publisher={International Society for Optics and Photonics}}
Book chapters
Book chapters
- Multimodal Car Driver Monitoring
Bibtex
@chapter{schettini2019multimodal,author="Schettini, Raimondo and Bianco, Simoneand Celona, Luigiand Napoletano, Paolo",title="Multimodal Car Driver Monitoring",year="2019",publisher = "G. Giappichelli Editore"isbn="9788892131606"}
Conference proocedings (peer reviewed)
Conference proocedings (peer reviewed)
22. On the Use of Visual Transformer for Image Complexity Assessment
L Celona, G Ciocca and R SchettiniVISAPP (2024)22. On the Use of Visual Transformer for Image Complexity Assessment
Bibtex
@inproceedings{celona2024compl, title={On the Use of Visual Transformer for Image Complexity Assessment}, author={Celona, Luigi and Ciocca, Gianluigi and Schettini, Raimondo}, booktitle={International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP}, pages={640--647}, year={2024}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0012426500003660}, isbn={978-989-758-679-8}, issn={2184-4321},}
21. Video-based emotion estimation using deep neural networks: a comparative study
L Alchieri, L Celona and S BiancoICIAP 3AS Workshop (2023)21. Video-based emotion estimation using deep neural networks: a comparative study
Bibtex
@inproceedings{alchieri2023video, title={Video-based emotion estimation using deep neural networks: a comparative study}, author={Alchieri, Lenonardo and Celona, Luigi and Bianco, Simone}, booktitle={ICIAP 3AS Workshop}, pages={--}, year={2023}}
20. A platform for multi-modal driver behaviour data collection
S Bianco, L Celona, GD Gallo and P NapoletanoIEEE 13th International Conference on Consumer Electronics-Berlin (2023)20. A platform for multi-modal driver behaviour data collection
Bibtex
@inproceedings{bianco2023platform, title={A platform for multi-modal driver behaviour data collection}, author={Bianco, Simone and Celona, Luigi and Gallo, Giovanni Donato and Napoletano, Paolo},organization={IEEE}, booktitle={13th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}, pages={--}, year={2023}}
19. Quality assessment of enhanced videos guided by aesthetics and technical quality attributes
M Agarla, L Celona, C Rota and R SchettiniIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (2023)19. Quality assessment of enhanced videos guided by aesthetics and technical quality attributes
Bibtex
@inproceedings{agarla2023quality, title={Quality assessment of enhanced videos guided by aesthetics and technical quality attributes}, author={Agarla, Mirko and Celona, Luigi and Rota, Claudio and Schettini, Raimondo}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops}, pages={1533--1541}, year={2023}}
18. Predicting Video Memorability Using a Model Pretrained with Natural Language Supervision
M Agarla, L Celona and R SchettiniMediaEval Multimedia Benchmark Workshop (2023)18. Predicting Video Memorability Using a Model Pretrained with Natural Language Supervision
Bibtex
@inproceedings{agarla2023predmem, title={Predicting Video Memorability Using a Model Pretrained with Natural Language Supervision}, author={Mirko Agarla and Luigi Celona and Raimondo Schettini}, year={2023}, booktitle={MediaEval Multimedia Benchmark Workshop}}
17. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
D Vera Nieto, L Celona and C Fernandez-LabradorNeural Information Processing Systems Track on Datasets and Benchmarks (2022)17. Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment
Bibtex
@inproceedings{NEURIPS2022_dcd18e50, author = {Vera Nieto, Daniel and Celona, Luigi and Fernandez Labrador, Clara}, booktitle = {Advances in Neural Information Processing Systems}, editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh}, pages = {34148--34161}, publisher = {Curran Associates, Inc.},title = {Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment},url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/dcd18e50ebca0af89187c6e35dabb584-Paper-Datasets_and_Benchmarks.pdf},volume = {35},year = {2022}}
16. ArabCeleb: Speaker Recognition in Arabic
S Bianco, L Celona, I Khalifa, P Napoletano, A Petrovsky, F Piccoli, R Schettini, and I ShaninInternational Conference of the Italian Association for Artificial Intelligence (2021)16. ArabCeleb: Speaker Recognition in Arabic
Bibtex
@inproceedings{bianco2022arabceleb, author = {Bianco, Simone and Celona, Luigi and Khalifa, Intissar and Napoletano, Paolo and Petrovsky, Alexey and Piccoli, Flavio and Schettini, Raimondo and Shanin, Ivan}, year = {2022}, title = {ArabCeleb: Speaker Recognition in Arabic}, booktitle="AIxIA 2021 -- Advances in Artificial Intelligence",year="2022",publisher="Springer International Publishing",address="Cham",pages="338--347",isbn="978-3-031-08421-8"}
15. An analysis of spectral similarity measures
M Agarla, S Bianco, L Celona, R Schettini, and M TchobanouColor & Imaging Conference (2021)15. An analysis of spectral similarity measures
Bibtex
@inproceedings{agarla2021analysis,title={An analysis of spectral similarity measures}, author={Agarla, Mirko and Bianco, Simone and Celona, Luigi and Schettini, Raimondo and Tchobanou, Mikhail}, booktitle={Color and Imaging Conference}, volume={2021}, number={29}, pages={300--305}, year={2021}, organization={Society for Imaging Science and Technology}}
14. On the Semantic Dependency of Video Quality Assessment Methods
M Agarla and L CelonaLondon Imaging Meeting (2021)14. On the Semantic Dependency of Video Quality Assessment Methods
Bibtex
@inproceedings{agarla2021semanticvqa, title={On the Semantic Dependency of Video Quality Assessment Methods}, author={Agarla, Mirko and Celona, Luigi}, booktitle={London Imaging Meeting}, volume={2021}, number={1}, pages={49--53}, year={2021}, doi={https://doi.org/10.2352/issn.2694-118X.2021.LIM-49}, organization={Society for Imaging Science and Technology}}
13. Who is in the crowd? Deep face analysis for crowd understanding
S Bianco, L Celona and R SchettiniSpringer International Conference on Pattern Recognition Workshop and Challenges (2021)13. Who is in the crowd? Deep face analysis for crowd understanding
Bibtex
@InProceedings{bianco2021who,author="Bianco, Simoneand Celona, Luigiand Schettini, Raimondo",title="Who Is in the Crowd? Deep Face Analysis for Crowd Understanding",booktitle="Pattern Recognition. ICPR International Workshops and Challenges",year="2021",publisher="Springer International Publishing",address="Cham",pages="487--494",isbn="978-3-030-68790-8"}
12. CNN-based image quality assessment of consumer photographs
L Celona and R SchettiniLondon Imaging Meeting (2020)12. CNN-based image quality assessment of consumer photographs
Bibtex
@inproceedings{celona2020cnn, title={CNN-based image quality assessment of consumer photographs}, author={Celona, Luigi and Schettini, Raimondo}, booktitle={London Imaging Meeting}, volume={2020}, number={1}, pages={129--133}, year={2020}, organization={Society for Imaging Science and Technology}}
11. Single Image Dehazing by Predicting Atmospheric Scattering Parameters
S Bianco, L Celona and F PiccoliLondon Imaging Meeting (2020)11. Single Image Dehazing by Predicting Atmospheric Scattering Parameters
Bibtex
@inproceedings{bianco2020single, title={Single Image Dehazing by Predicting Atmospheric Scattering Parameters}, author={Bianco, Simone and Celona, Luigi and Piccoli, Flavio}, booktitle={London Imaging Meeting}, volume={2020}, number={1}, pages={74--77}, year={2020}, organization={Society for Imaging Science and Technology}}
10. Autocropping: A Closer Look at Benchmark Datasets
L Celona, G Ciocca, P Napoletano, and R SchettiniSpringer International Conference on Image Analysis and Processing (2019)10. Autocropping: A Closer Look at Benchmark Datasets
Bibtex
@inproceedings{celona2019autocropping, title={Autocropping: A Closer Look at Benchmark Datasets}, author={Celona, Luigi and Ciocca, Gianluigi and Napoletano, Paolo and Schettini, Raimondo}, booktitle={International Conference on Image Analysis and Processing}, pages={315--325}, year={2019}, organization={Springer}
}
9. Image Memorability Using Diverse Visual Features and Soft Attention
M Leonardi, L Celona, P Napoletano, S Bianco, R Schettini, F Manessi, and A RozzaSpringer International Conference on Image Analysis and Processing (2019)9. Image Memorability Using Diverse Visual Features and Soft Attention
Bibtex
@inproceedings{leonardi2019image, title={Image Memorability Using Diverse Visual Features and Soft Attention}, author={Leonardi, Marco and Celona, Luigi and Napoletano, Paolo and Bianco, Simone and Schettini, Raimondo and Manessi, Franco and Rozza, Alessandro}, booktitle={International Conference on Image Analysis and Processing}, pages={171--180}, year={2019}, organization={Springer}
}
8. Getting the most of few data for neonatal pain assessment
L Celona, S Brahnam and S BiancoEAI International Conference on Pervasive Computing Technologies for Healthcare (2019)8. Getting the most of few data for neonatal pain assessment
Bibtex
@inproceedings{celona2019getting, title={Getting the most of few data for neonatal pain assessment}, author={Celona, Luigi and Brahnam, Sheryl and Bianco, Simone}, booktitle={Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare}, pages={298--301}, year={2019}
}
7. High-resolution single image dehazing using encoder-decoder architecture
S Bianco, L Celona, F Piccoli, and R SchettiniIEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (2019)7. High-resolution single image dehazing using encoder-decoder architecture
Bibtex
@inproceedings{bianco2019high, title={High-resolution single image dehazing using encoder-decoder architecture}, author={Bianco, Simone and Celona, Luigi and Piccoli, Flavio and Schettini, Raimondo}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops}, pages={0--0}, year={2019}
}
6. Aesthetics assessment of images containing faces
S Bianco, L Celona and R SchettiniIEEE International Conference on Image Processing (2018)6. Aesthetics assessment of images containing faces
Bibtex
@inproceedings{bianco2018aesthetics, title={Aesthetics assessment of images containing faces}, author={Bianco, Simone and Celona, Luigi and Schettini, Raimondo}, booktitle={2018 25th IEEE International Conference on Image Processing (ICIP)}, pages={2820--2824}, year={2018}, organization={IEEE}
}
5. A multi-task CNN framework for driver face monitoring
L Celona, L Mammana, S Bianco, and R SchettiniIEEE International Conference on Consumer Electronics-Berlin (2018)5. A multi-task CNN framework for driver face monitoring
Bibtex
@inproceedings{celona2018multi, title={A multi-task CNN framework for driver face monitoring}, author={Celona, Luigi and Mammana, Lorenzo and Bianco, Simone and Schettini, Raimondo}, booktitle={2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}, pages={1--4}, year={2018}, organization={IEEE}}
4. Visual-based sentiment logging in magic smart mirrors
S Bianco, L Celona and P NapoletanoIEEE International Conference on Consumer Electronics-Berlin (2018)4. Visual-based sentiment logging in magic smart mirrors
Bibtex
@inproceedings{bianco2018visual, title={Visual-based sentiment logging in magic smart mirrors}, author={Bianco, Simone and Celona, Luigi and Napoletano, Paolo}, booktitle={2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}, pages={1--4}, year={2018}, organization={IEEE}}
3. A Blender plug-in for comparing Structure from Motion pipelines
D Marelli, S Bianco, L Celona, and G CioccaIEEE International Conference on Consumer Electronics-Berlin (2018)3. A Blender plug-in for comparing Structure from Motion pipelines
Bibtex
@inproceedings{marelli2018blender, title={A Blender plug-in for comparing Structure from Motion pipelines}, author={Marelli, Davide and Bianco, Simone and Celona, Luigi and Ciocca, Gianluigi}, booktitle={2018 IEEE 8th International Conference on Consumer Electronics-Berlin (ICCE-Berlin)}, pages={1--5}, year={2018}, organization={IEEE}}
2. Neonatal facial pain assessment combining hand-crafted and deep features
L Celona and L ManoniSpringer International Conference on Image Analysis and Processing (2017)2. Neonatal facial pain assessment combining hand-crafted and deep features
Bibtex
@inproceedings{celona2017neonatal, title={Neonatal facial pain assessment combining hand-crafted and deep features}, author={Celona, Luigi and Manoni, Luca}, booktitle={International Conference on Image Analysis and Processing}, pages={197--204}, year={2017}, organization={Springer}
}
- Predicting image aesthetics with deep learning
Bibtex
@inproceedings{bianco2016predicting, title={Predicting image aesthetics with deep learning}, author={Bianco, Simone and Celona, Luigi and Napoletano, Paolo and Schettini, Raimondo}, booktitle={International Conference on advanced concepts for intelligent vision systems}, pages={117--125}, year={2016}, organization={Springer}
}
Thesis
Thesis
PhD
PhD
Learning Quality, Aesthetics, and Facial Attributes for Image Annotation
Supervisor: Prof. Raimondo Schettini, Co-Supervisor: Dr. Paolo NapoletanoAbstract
Every day, a large number of digital images are produced by users of social networks, smartphone users, photography professionals, etc. This caused a problem in the management, organization, indexing, and recovery of digital images. In order to ease this problem, several methods have been introduced in the literature to catalog images automatically. These methods are designed to associate images with one or more keywords belonging to a predefined dictionary or to associate images with visual attributes such as, for example, quality, aesthetics, sentiment, memorability, interestingness, and complexity, etc.This thesis investigates the use of deep convolutional neural network for automatic estimation of image quality and image aesthetics. In the last few years, several methods for automatic image quality assessment have been proposed. Most of them have been designed to deal with synthetically distorted images, which by definition do not truly model distortions afflicting real-world images. In this thesis a method for the automatic quality assessment of authentically distorted images is investigated. It shows better performances than state-of-the-art methods both on synthetically and authentically distorted images datasets.
Differently from the image quality, which characterizes the perceived quality of the image signal, aesthetics depicts perceived beauty. As first step, the problem of aesthetic quality assessment of real-life general content images has been investigated. The proposed solution outperformed state-of-the-art methods on the largest publicly available dataset.
Given that one of the most popular visual contents is the face (e.g. on social networks for photo sharing), aesthetics assessment is, therefore, further investigated on the specific case of portrait images. To this end, in this thesis an algorithm involving the combination of the previously investigated visual attributes (i.e. quality and aesthetics of general content images) and the facial attributes (i.e. smiling, hair style, makeup) description is proposed. Facial attributes description is achieved thanks to two proposed methods. The first algorithm is a robust smile detector (it represents an important visual feature for portrait aesthetics), the second is a multiple-task model designed in order to simultaneously estimate soft biometrics and attributes such as hair colors and styles, types of beards. While the first algorithm outperforms state-of-the-art methods (also respect to highly distorted images), the multi-task model demonstrates comparable performance. Experimental results for the portrait image aesthetic assessment thanks to the use of the proposed algorithm show promising performance on three standard datasets.
Master
Master
Facial Expression Recognition using Local Binary Patterns
Supervisor: Prof. Raimondo Schettini, Co-Supervisor: Dr. Paolo NapoletanoBachelor
Bachelor
Image Visualization and Comparison using API Maps for GWT
Supervisor: Prof. Giacomo Fiumara, Co-Supervisor: Dr. Francesco PaganoThe copyright of each publication is held by the corresponding publisher, PDFs are provided for personal use only