Davide Morelli

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 34

Top Topics

Physiological Data

Preference Learning

Interpolation Methods

Top Venues

Publications

Alex Moore, Davide Morelli
conDENSE: Conditional Density Estimation for Time Series Anomaly Detection. J. Artif. Intell. Res. 79 (2024)
Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara
Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing. CoRR (2024)
Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images. CoRR (2023)
Giuseppe Cartella, Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data. CoRR (2023)
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. ACM Multimedia (2023)
Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. ICCV (2023)
Nicholas Moratelli, Manuele Barraco, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. Sensors 23 (3) (2023)
Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. CoRR (2023)
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. CoRR (2023)
Giuseppe Cartella, Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data. ICIAP (1) (2023)
Davide Bacciu, Davide Morelli, Vlad Pandelea
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Giovanna Guaragnella, Davide Morelli, Tiziana D'Orazio, Umberto Galietti, Bartolomeo Trentadue, Roberto Marani
Defect detection by a deep learning approach with active IR thermography. CoDIT (2022)
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
Dress Code: High-Resolution Multi-Category Virtual Try-On. CVPR Workshops (2022)
Davide Bacciu, Gioele Bertoncini, Davide Morelli
Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data. Neural Comput. Appl. 34 (1) (2022)
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
Dress Code: High-Resolution Multi-Category Virtual Try-On. CoRR (2022)
Emanuele Fenocchi, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Fabio Cesari, Rita Cucchiara
Dual-Branch Collaborative Transformer for Virtual Try-On. CVPR Workshops (2022)
Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara
Dress Code: High-Resolution Multi-category Virtual Try-On. ECCV (8) (2022)
Davide Morelli, Alessio Rossi, Leonardo Bartoloni, Massimo Cairo, David A. Clifton
SDNN24 Estimation from Semi-Continuous HR Measures. Sensors 21 (4) (2021)
Davide Morelli, Marcella Cornia, Rita Cucchiara
FashionSearch++: Improving Consumer-to-Shop Clothes Retrieval with Hard Negatives. IIR (2021)
Nikola Dolezalova, Massimo Cairo, Alex Despotovic, Adam T. C. Booth, Angus B. Reed, Davide Morelli, David Plans
Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study. CoRR (2021)
Nikola Dolezalova, Angus B. Reed, Alex Despotovic, Bernard Dillon Obika, Davide Morelli, Mert Aral, David Plans
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study. CoRR (2021)
Davide Morelli, Roberto Marani, Ester D'Accardi, Davide Palumbo, Umberto Galietti, Tiziana D'Orazio
A Convolution Residual Network for Heating-Invariant Defect Segmentation in Composite Materials Inspected by Lock-in Thermography. IEEE Trans. Instrum. Meas. 70 (2021)
Davide Morelli, N. Dolezalova, S. Ponzo, Michele Colombo, David Plans
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population. CoRR (2021)
Alessio Rossi, Dino Pedreschi, David A. Clifton, Davide Morelli
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts. Sensors 20 (24) (2020)
Graziana Cavone, Mariagrazia Dotoli, Nicola Epicoco, Davide Morelli, Carla Seatzu
Design of Modern Supply Chain Networks Using Fuzzy Bargaining Game and Data Envelopment Analysis. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)
Alessio Rossi, Eleonora Da Pozzo, Dario Menicagli, Chiara Tremolanti, Corrado Priami, Alina Sîrbu, David A. Clifton, Claudia Martini, Davide Morelli
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults. Data 5 (4) (2020)
Davide Morelli, Alessio Rossi, Massimo Cairo, David A. Clifton
Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations. Sensors 19 (14) (2019)
Graziana Cavone, Mariagrazia Dotoli, Nicola Epicoco, Davide Morelli, Carla Seatzu
A Game-theoretical Design Technique for Multi-stage Supply Chains under Uncertainty. CASE (2018)
Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
Randomized neural networks for preference learning with physiological data. Neurocomputing 298 (2018)
Matteo Franceschi, Davide Morelli, David Plans, Alan W. Brown, John P. Collomosse, Louise V. Coutts, Laura Ricci
ComeHere: Exploiting Ethereum for Secure Sharing of Health-Care Data. Euro-Par Workshops (2018)
Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
ELM Preference Learning for Physiological Data. ESANN (2017)
Davide Bacciu, Francesco Crecchi, Davide Morelli
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. IJCNN (2017)
Davide Bacciu, Francesco Crecchi, Davide Morelli
DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout. CoRR (2017)
Davide Morelli, Andrea Canciani, Antonio Cisternino
A high-level and accurate energy model of parallel and concurrent workloads. Concurr. Comput. Pract. Exp. 28 (3) (2016)
Davide Morelli, Antonio Cisternino
Accurate Blind Predictions of OpenFOAM Energy Consumption Using the LBM Prediction Model. Euro-Par Workshops (2) (2014)
Davide Morelli, Antonio Cisternino
A compositional model to characterize software and hardware from their resource usage. ICCSW (2012)
David Plans, Davide Morelli
Experience-Driven Procedural Music Generation for Games. IEEE Trans. Comput. Intell. AI Games 4 (3) (2012)
Antonio Cisternino, Paolo Ferragina, Davide Morelli, Massimo Coppola
Information processing at work: On energy-aware algorithm design. Green Computing Conference (2010)
David Plans, Davide Morelli
Remembering the Future : an Overview of Co-Evolution in Musical Improvisation. ICMC (2007)
Marco Liuni, Davide Morelli
Playing music: an installation based on Xenakis' musical games. AVI (2006)