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Giuseppe Fiameni
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2020 – today
- 2024
- [j6]Marcella Cornia, Lorenzo Baraldi, Giuseppe Fiameni, Rita Cucchiara:
Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets. Int. J. Comput. Vis. 132(5): 1701-1720 (2024) - [i17]Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi:
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection. CoRR abs/2403.13479 (2024) - [i16]Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi, Emanuele Colonna, Giuseppe Fiameni, Gennaro Vessio, Giovanna Castellano:
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts. CoRR abs/2407.02075 (2024) - 2023
- [j5]Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara:
From Show to Tell: A Survey on Deep Learning-Based Image Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 539-559 (2023) - [j4]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14234-14247 (2023) - [c21]Michela Gravina, Antonio Galli, Geremia De Micco, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone:
FEAD-D: Facial Expression Analysis in Deepfake Detection. ICIAP (2) 2023: 283-294 - [i15]Renato Sortino, Daniel Magro, Giuseppe Fiameni, Eva Sciacca, Simone Riggi, Andrea DeMarco, Concetto Spampinato, Andrew M. Hopkins, Filomena Bufano, Francesco Schillirò, Cristobal Bordiu, Carmelo Pino:
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods. CoRR abs/2303.04506 (2023) - [i14]Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato:
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. CoRR abs/2307.02392 (2023) - [i13]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Fabio Poiesi, Elisa Ricci:
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation. CoRR abs/2308.14619 (2023) - [i12]Pierpaolo Basile, Elio Musacchio, Marco Polignano, Lucia Siciliani, Giuseppe Fiameni, Giovanni Semeraro:
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language. CoRR abs/2312.09993 (2023) - 2022
- [j3]Matteo Tomei, Lorenzo Baraldi, Giuseppe Fiameni, Simone Bronzin, Rita Cucchiara:
A computational approach for progressive architecture shrinkage in action recognition. Softw. Pract. Exp. 52(2): 537-554 (2022) - [c20]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 567-585 - [c19]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. ECCV (33) 2022: 586-602 - [c18]Ciro Sannino, Michela Gravina, Stefano Marrone, Giuseppe Fiameni, Carlo Sansone:
LessonAble: Leveraging Deep Fakes in MOOC Content Creation. ICIAP (1) 2022: 27-37 - [c17]Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Oswald Lanz:
Higher-Order Recurrent Network with Space-Time Attention for Video Early Action Recognition. ICIP 2022: 1631-1635 - [c16]Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz:
Unified Recurrence Modeling for Video Action Anticipation. ICPR 2022: 3273-3279 - [c15]Marco Gaido, Sara Papi, Dennis Fucci, Giuseppe Fiameni, Matteo Negri, Marco Turchi:
Efficient yet Competitive Speech Translation: FBK@IWSLT2022. IWSLT@ACL 2022: 177-189 - [i11]Marco Gaido, Sara Papi, Dennis Fucci, Giuseppe Fiameni, Matteo Negri, Marco Turchi:
Efficient yet Competitive Speech Translation: FBK@IWSLT2022. CoRR abs/2205.02629 (2022) - [i10]Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz:
Unified Recurrence Modeling for Video Action Anticipation. CoRR abs/2206.01009 (2022) - [i9]Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni, Yi-Kwan Wong, Sze-Sen Poon, Cheng-Kuang Lee, Ka Chun Cheung, Simon See:
NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. CoRR abs/2206.10869 (2022) - [i8]Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi:
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09763 (2022) - [i7]Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi:
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation. CoRR abs/2207.09778 (2022) - [i6]Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz:
Inductive Attention for Video Action Anticipation. CoRR abs/2212.08830 (2022) - 2021
- [c14]Aldo Marzullo, Martina Golini, Michele Catellani, Elena De Momi, Francesco Calimeri, Giuseppe Fiameni, Iuri Frosio:
Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission. AIABI@AI*IA 2021 - [c13]Andrei Utina, Francesco Marangio, Filip Morawski, Alberto Iess, Tania Regimbau, Giuseppe Fiameni, Elena Cuoco:
Deep learning searches for gravitational wave stochastic backgrounds. CBMI 2021: 1-6 - [i5]Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Oswald Lanz:
Higher Order Recurrent Space-Time Transformer. CoRR abs/2104.08665 (2021) - [i4]Miguel Fernandes, Antonello Scaldaferri, Giuseppe Fiameni, Tao Teng, Matteo Gatti, Stefano Poni, Claudio Semini, Darwin G. Caldwell, Fei Chen:
Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation. CoRR abs/2106.04208 (2021) - [i3]Matteo Stefanini, Marcella Cornia, Lorenzo Baraldi, Silvia Cascianelli, Giuseppe Fiameni, Rita Cucchiara:
From Show to Tell: A Survey on Image Captioning. CoRR abs/2107.06912 (2021) - [i2]Miguel Fernandes, Antonello Scaldaferri, Paolo Guadagna, Giuseppe Fiameni, Tao Teng, Matteo Gatti, Stefano Poni, Claudio Semini, Darwin G. Caldwell, Fei Chen:
Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation. CoRR abs/2109.07247 (2021) - [i1]Marcella Cornia, Lorenzo Baraldi, Giuseppe Fiameni, Rita Cucchiara:
Universal Captioner: Long-Tail Vision-and-Language Model Training through Content-Style Separation. CoRR abs/2111.12727 (2021) - 2020
- [j2]Gaia Pavoni, Massimiliano Corsini, Marco Callieri, Giuseppe Fiameni, Clinton Edwards, Paolo Cignoni:
On Improving the Training of Models for the Semantic Segmentation of Benthic Communities from Orthographic Imagery. Remote. Sens. 12(18): 3106 (2020) - [c12]Sadaf R. Alam, Javier Bartolome, Sanzio Bassini, Michele Carpenè, Mirko Cestari, Frederic Combeau, Sergi Girona, Stefano Gorini, Giuseppe Fiameni, Björn Hagemeier, Thorsten Hater, Andreas Herten, Nikoleta Kiapidou, Wouter Klijn, Dorian Krause, Jacques-Charles Lafoucriere, Cerlane Leong, Thomas Leibovici, Thomas Lippert, Colin McMurtrie, Pavel Mezentsev, Anne Nahm, Boris Orth, Dirk Pleiter, Thomas C. Schulthess, Benedikt von St. Vieth, Debora Testi, Gilles Wiber:
Archival Data Repository Services to Enable HPC and Cloud Workflows in a Federated Research e-Infrastructure. SuperCompCloud@SC 2020: 39-44
2010 – 2019
- 2019
- [c11]Sadaf R. Alam, Javier Bartolome, Sanzio Bassini, Michele Carpenè, Mirko Cestari, Frederic Combeau, Sergi Girona, Stefano Gorini, Giuseppe Fiameni, Björn Hagemeier, Andreas Herten, Nikoleta Kiapidou, Wouter Klijn, Dorian Krause, Jacques-Charles Lafoucriere, Cerlane Leong, Thomas Leibovici, Thomas Lippert, Colin McMurtrie, Pavel Mezentsev, Anne Nahm, Boris Orth, Dirk Pleiter, Thomas C. Schulthess, Benedikt von St. Vieth, Debora Testi, Gilles Wiber:
Fenix: Distributed e-Infrastructure Services for EBRAINS. BrainComp 2019: 81-89 - [c10]Giuseppa Muscianisi, Giuseppe Fiameni, Abdulrahman Azab:
Singularity GPU Containers Execution on HPC Cluster. ISC Workshops 2019: 61-68 - 2017
- [c9]Juan Manuel Carmona Loaiza, Graziano Giuliani, Giuseppe Fiameni:
Big-Data in Climate Change Models - A Novel Approach with Hadoop MapReduce. HPCS 2017: 45-50 - [c8]Song Zhu, Giuseppe Fiameni, Giovanni Simonini, Sonia Bergamaschi:
SOPJ: A Scalable Online Provenance Join for Data Integration. HPCS 2017: 79-85 - [c7]Mattia D'Antonio, Paolo D'Onorio De Meo, Claudio Cacciari, Giuseppe Fiameni:
Characterization of Genomic Data Using Graph Databases. PARCO 2017: 423-432 - [c6]Riccardo Zanella, Giuseppe Fiameni, Marco Rorro:
A Performance Study of Machine and Deep Learning Frameworks on Cineca HPC Systems. PARCO 2017: 550-559 - [c5]Simona Caraceni, Michele Carpenè, Mattia D'Antonio, Giuseppe Fiameni, Antonella Guidazzoli, Silvano Imboden, Maria Chiara Liguori, Margherita Montanari, Giuseppe Trotta, Gabriella Scipione, Davy Hanegreefs:
I-media-cities, a searchable platform on moving images with automatic and manual annotations. VSMM 2017: 1-8 - 2015
- [c4]Daniele Bailo, Keith G. Jeffery, Alessandro Spinuso, Giuseppe Fiameni:
Interoperability Oriented Architecture: The Approach of EPOS for Solid Earth e-Infrastructures. e-Science 2015: 529-534 - 2014
- [c3]Luca Foschini, Alessandro Pernafini, Antonio Corradi, Mario Rosati, Alessandro Federico, Giuseppe Fiameni:
A performance evaluation of TopHat RNA sequences alignment tool on openstack-based cloud environments. HPCS 2014: 358-365 - [c2]Alessandro Bria, Giulio Iannello, Paolo Soda, Hanchuan Peng, Giovanni Erbacci, Giuseppe Fiameni, Giacomo Mariani, Roberto Mucci, Marco Rorro, Francesco Pavone, Ludovico Silvestri, Paolo Frasconi, Roberto Cortini:
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS 2014: 592-599 - 2013
- [j1]Morris Riedel, Peter Wittenburg, Johannes Reetz, Mark van de Sanden, Jedrzej Rybicki, Benedikt von St. Vieth, Giuseppe Fiameni, Giacomo Mariani, Alberto Michelini, Claudio Cacciari, Willem Elbers, Daan Broeder, Robert Verkerk, Elena Erastova, Michael Lautenschlaeger, Reinhard Budig, Hannes Thiemann, Peter V. Coveney, Stefan J. Zasada, Ali Nasrat Haidar, Otto Buechner, Cristina Manzano, A. Shiraz Memon, Ahmed Shiraz Memon, Heikki Helin, Jari Suhonen, Damien Lecarpentier, Kimmo Koski, Thomas Lippert:
A data infrastructure reference model with applications: towards realization of a ScienceTube vision with a data replication service. J. Internet Serv. Appl. 4(1): 1:1-1:17 (2013)
2000 – 2009
- 2008
- [c1]Roger Menday, Björn Hagemeier, Claudio Cacciari, Giuseppe Fiameni, Maurizio Melato, A. Curtoni, Sven van den Berghe:
An Easy Way to Access Grid Resources. EDOCW 2008: 385-388
Coauthor Index
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last updated on 2024-08-08 19:17 CEST by the dblp team
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