Salta al contenuto principale
Ricerc@Sapienza
Toggle navigation
Home
Login
Home
Persone
paolo.russo@uniroma1.it
Paolo Russo
Ricercatore
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
paolo.russo@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2024
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform
Image Analysis and Processing - ICIAP 2023 Workshops
2024
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2024
D4D: An RGBD diffusion model to boost monocular depth estimation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2024
Deep Classification of Microplastics Through Image Fusion Techniques
IEEE ACCESS
2024
DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments
IEEE ACCESS
2024
Raman Spectroscopy and AI Applications in Cancer Grading: An Overview
IEEE ACCESS
2024
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios
SENSORS
2023
Anomaly detection in railway bridges using imaging techniques
SCIENTIFIC REPORTS
2023
METER: a mobile vision transformer architecture for monocular depth estimation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2023
Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation
Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents (SUMAC '23). Association for Computing Machinery, New York, NY, USA
2023
Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation
2023
SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
IEEE ACCESS
2022
aRTIC GAN: A Recursive Text-Image-Conditioned GAN
ELECTRONICS
2022
Real-time monocular depth estimation on embedded devices: challenges and performances in terrestrial and underwater scenarios
IEEE International Workshop on Metrology for the Sea
2022
Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra
SENSORS
2022
DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea
IEEE ACCESS
2022
Deep models optimization on embedded devices to improve the orientation estimation task at sea.
2022 IEEE International Workshop on Metrology for the Sea
2022
Danae++: A smart approach for denoising underwater attitude estimation
SENSORS
2021
Learning to See through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition
IEEE ACCESS
2021
1
2
seguente ›
ultima »
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma