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ORCIDPaolo Russo 0001
Person information
- affiliation: Roma Tre University, Rome, Italy
- affiliation (former): University of Rome La Sapienza, Rome, Italy
Other persons with the same name
- Paolo Russo — disambiguation page
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Books and Theses
- 2020
[b1]Paolo Russo:
Broadening deep learning horizons: models for RGB and depth images adaptation. Sapienza University of Rome, Italy, 2020
Journal Articles
- 2026
- [j16]Pietro Manganelli Conforti
, Pietro Nardelli, Andrea Fanti, Paolo Russo:
Empowering Traditional Ensemble Learning Through Feature Learning and Wavelet Transforms for Environmental Analysis. IEEE Trans. Artif. Intell. 7(4): 2112-2126 (2026) - 2025
- [j15]Paolo Russo, Fabiana Di Ciaccio, Pasquale Santaniello, Teresa Cacace, Pierluigi Carcagnì, Marco Del Coco, Melania Paturzo:
Encoding Holographic Data Into Synthetic Video Streams for Enhanced Microplastic Detection. IEEE Access 13: 132680-132692 (2025) - 2024
- [j14]Pietro Manganelli Conforti, Gianmarco Lazzini, Paolo Russo, Mario D'Acunto:
Raman Spectroscopy and AI Applications in Cancer Grading: An Overview. IEEE Access 12: 54816-54852 (2024) - [j13]Paolo Russo, Fabiana Di Ciaccio:
Deep Classification of Microplastics Through Image Fusion Techniques. IEEE Access 12: 134852-134861 (2024) - [j12]Fabiana Di Ciaccio, Salvatore Troisi, Paolo Russo:
DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments. IEEE Access 12: 161637-161648 (2024) - [j11]Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou:
A Survey on Efficient Vision Transformers: Algorithms, Techniques, and Performance Benchmarking. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7682-7700 (2024) - [j10]Lorenzo Papa, Paolo Russo, Irene Amerini:
D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9852-9865 (2024) - 2023
- [j9]Lorenzo Papa, Gabriele Proietti Mattia, Paolo Russo, Irene Amerini, Roberto Beraldi:
Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios. Sensors 23(4): 2223 (2023) - [j8]Pasquale Santaniello, Paolo Russo:
Bridge Damage Identification Using Deep Neural Networks on Time-Frequency Signals Representation. Sensors 23(13): 6152 (2023) - [j7]Lorenzo Papa, Paolo Russo, Irene Amerini:
METER: A Mobile Vision Transformer Architecture for Monocular Depth Estimation. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5882-5893 (2023) - 2022
- [j6]Fabiana Di Ciaccio, Paolo Russo, Salvatore Troisi:
DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea. IEEE Access 10: 29307-29321 (2022) - [j5]Lorenzo Papa, Edoardo Alati, Paolo Russo, Irene Amerini:
SPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings. IEEE Access 10: 44881-44890 (2022) - [j4]Pietro Manganelli Conforti, Mario D'Acunto, Paolo Russo:
Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra. Sensors 22(19): 7492 (2022) - 2021
- [j3]Paolo Russo, Salvatore Ticca, Edoardo Alati, Fiora Pirri:
Learning to See Through a Few Pixels: Multi Streams Network for Extreme Low-Resolution Action Recognition. IEEE Access 9: 12019-12026 (2021) - [j2]Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi:
DANAE++: A Smart Approach for Denoising Underwater Attitude Estimation. Sensors 21(4): 1526 (2021) - 2018
- [j1]Fabio Maria Carlucci, Paolo Russo, Barbara Caputo:
(DE)2CO: Deep Depth Colorization. IEEE Robotics Autom. Lett. 3(3): 2386-2393 (2018)
Conference and Workshop Papers
- 2026
- [c14]Paolo Russo, Lorenzo Mauro:
Optimizing Neural Path Guiding with Parametric Mixture Models: A Comprehensive Evaluation and Refinement. GRIVAPP 2026: 449-463 - [c13]Luca Giovannesi, Paolo Russo, Roberto Beraldi:
Reinforcement Learning Scheduler for Solar-Powered Edge Devices. PerCom Workshops 2026: 819-824 - [c12]Pietro Manganelli Conforti, Lorenzo Papa, Irene Amerini, Paolo Russo:
Explaining the Inexplicable: An Explainable AI Approach to Boost Knowledge Transfer. VISAPP (1) 2026: 660-670 - 2025
- [c11]Luca Giovannesi, Paolo Russo, Roberto Beraldi:
Vit4V: a Video Classification Method for the Detection of Varroa Destructor from Honeybees. CVPR Workshops 2025: 5343-5351 - [c10]Paolo Russo, Fabiana Di Ciaccio:
Seeing the Heat: Vision Transformers for Spatiotemporal Temperature Prediction. ICIAP (Workshops 1) 2025: 365-376 - [c9]Lorenzo Cirillo, Claudio Schiavella, Lorenzo Papa, Paolo Russo, Irene Amerini:
Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation. IJCNN 2025: 1-8 - 2023
- [c8]Pietro Manganelli Conforti, Andrea Fanti, Pietro Nardelli, Paolo Russo:
Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform. ICIAP Workshops (1) 2023: 371-382 - [c7]Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini:
Optimize Vision Transformer Architecture via Efficient Attention Modules: A Study on the Monocular Depth Estimation Task. ICIAP Workshops (1) 2023: 383-394 - [c6]Matteo Zaramella, Irene Amerini, Paolo Russo:
Why Don't You Speak?: A Smartphone Application to Engage Museum Visitors Through Deepfakes Creation. SUMAC @ ACM Multimedia 2023: 29-37 - 2019
- [c5]Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Hallucinating Agnostic Images to Generalize Across Domains. ICCV Workshops 2019: 3227-3234 - [c4]Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Towards Multi-source Adaptive Semantic Segmentation. ICIAP (1) 2019: 292-301 - 2018
- [c3]Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo:
From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN. CVPR 2018: 8099-8108 - 2017
- [c2]Fabio Maria Carlucci, Paolo Russo, Barbara Caputo:
A deep representation for depth images from synthetic data. ICRA 2017: 1362-1369 - 2016
- [c1]Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo:
Learning the Roots of Visual Domain Shift. ECCV Workshops (3) 2016: 475-482
Informal and Other Publications
- 2025
- [i10]Lorenzo Cirillo, Claudio Schiavella, Lorenzo Papa, Paolo Russo, Irene Amerini:
Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation. CoRR abs/2509.15980 (2025) - 2024
- [i9]Lorenzo Papa, Paolo Russo, Irene Amerini:
D4D: An RGBD diffusion model to boost monocular depth estimation. CoRR abs/2403.07516 (2024) - [i8]Lorenzo Papa, Paolo Russo, Irene Amerini:
METER: a mobile vision transformer architecture for monocular depth estimation. CoRR abs/2403.08368 (2024) - 2023
- [i7]Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou:
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking. CoRR abs/2309.02031 (2023) - 2020
- [i6]Paolo Russo, Fabiana Di Ciaccio, Salvatore Troisi:
DANAE: a denoising autoencoder for underwater attitude estimation. CoRR abs/2011.06853 (2020) - 2018
- [i5]Fabio Maria Carlucci, Paolo Russo, Tatiana Tommasi, Barbara Caputo:
Agnostic Domain Generalization. CoRR abs/1808.01102 (2018) - 2017
- [i4]Fabio Maria Carlucci, Paolo Russo, S. M. Baharlou, Barbara Caputo:
(DE)2 CO: Deep Depth Colorization. CoRR abs/1703.10881 (2017) - [i3]Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi, Barbara Caputo:
From source to target and back: symmetric bi-directional adaptive GAN. CoRR abs/1705.08824 (2017) - 2016
- [i2]Tatiana Tommasi, Martina Lanzi, Paolo Russo, Barbara Caputo:
Learning the Roots of Visual Domain Shift. CoRR abs/1607.06144 (2016) - [i1]Fabio Maria Carlucci, Paolo Russo, Barbara Caputo:
A deep representation for depth images from synthetic data. CoRR abs/1609.09713 (2016)
Coauthor Index
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