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2020 – today
- 2024
[j8]Yier Lin
, Haobo Li, Daniele Faccio:
Human Multi-Activities Classification Using mmWave Radar: Feature Fusion in Time-Domain and PCANet. Sensors 24(16): 5450 (2024)- [j7]Chaitanya Kaul, Kevin J. Mitchell, Khaled Kassem, Athanasios Tragakis, Valentin Kapitany, Ilya Starshynov, Federica A. Villa, Roderick Murray-Smith, Daniele Faccio:
AI-Enabled Sensor Fusion of Time-of-Flight Imaging and mmWave for Concealed Metal Detection. Sensors 24(18): 5865 (2024) - [j6]Haobo Li, Marija Vaskeviciute, Ilya Starshynov, Daniele Faccio:
Remote Optical Sensing of Heart Sounds for Biometric Identification Using Information Fusion. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c6]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. ISBI 2024: 1-5 - [c5]Yuqi Ding, Haobo Li, Xiangpeng Liang, Marija Vaskeviciute, Daniele Faccio, Hadi Heidari:
A Physical Reservoir Computing Processor for ECG-to-PCG Signals Prediction. ISCAS 2024: 1-5 - [c4]Yuanjie Xia, Haobo Li, Marija Vaskeviciute, Daniele Faccio, Affar Karimullah, Hadi Heidari, Rami Ghannam:
Cholesteric Liquid Crystal Based Reconfigurable Optical Combiner for Head-Mounted Display Application. VR Workshops 2024: 723-724 - [i13]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. CoRR abs/2403.00396 (2024) - [i12]Valentin Kapitány, Areeba Fatima, Vytautas Zickus, Jamie Whitelaw, Ewan McGhee, Robert Insall, Laura Machesky, Daniele Faccio:
Single-sample image-fusion upsampling of fluorescence lifetime images. CoRR abs/2404.13102 (2024) - [i11]Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio:
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. CoRR abs/2406.07251 (2024) - 2023
- [c3]Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Daniele Faccio, Roderick Murray-Smith:
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. ICASSP 2023: 1-5 - [i10]Kevin J. Mitchell, Khaled Kassem, Chaitanya Kaul, Valentin Kapitany, Philip Binner, Andrew Ramsay, Roderick Murray-Smith, Daniele Faccio:
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor. CoRR abs/2302.14625 (2023) - [i9]Yao Ge, Chong Tang, Haobo Li, Zikang Zhang, Wenda Li, Kevin Chetty, Daniele Faccio, Qammer H. Abbasi, Muhammad Imran:
A large-scale multimodal dataset of human speech recognition. CoRR abs/2303.08295 (2023) - [i8]Wenhao Wang, Guyue Li, Zhiming Chu, Haobo Li, Daniele Faccio:
Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks. CoRR abs/2311.10389 (2023) - 2022
- [j5]Khaled Kassem, Piergiorgio Caramazza, Kevin J. Mitchell, Mitch Miller, Azadeh Emadi, Daniele Faccio:
Real-Time Scene Monitoring for Deaf-Blind People. Sensors 22(19): 7136 (2022) - [j4]Taylor Shields, Adetunmise C. Dada, Lennart Hirsch, Seungjin Yoon, Jonathan M. R. Weaver, Daniele Faccio, Lucia Caspani, Marco Peccianti, Matteo Clerici:
Electro-Optical Sampling of Single-Cycle THz Fields with Single-Photon Detectors. Sensors 22(23): 9432 (2022) - [c2]Joshua Mitton, Simon Peter Mekhail, Miles J. Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith:
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres. NeurIPS 2022 - [i7]Joshua Mitton, Simon Peter Mekhail, Miles J. Padgett, Daniele Faccio, Marco Aversa, Roderick Murray-Smith:
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres. CoRR abs/2207.12849 (2022) - [i6]Gao Wang, Daniele Faccio:
Computational imaging with the human brain. CoRR abs/2210.03400 (2022) - 2020
- [j3]Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith:
Variational Inference for Computational Imaging Inverse Problems. J. Mach. Learn. Res. 21: 179:1-179:46 (2020)
2010 – 2019
- 2019
- [j2]Lucrezia Cester, Ashley Lyons, Maria Chiara Braidotti, Daniele Faccio:
Time-of-Flight Imaging at 10 ps Resolution with an ICCD Camera. Sensors 19(1): 180 (2019) - [j1]James Brooks, Daniele Faccio:
A Single-Shot Non-Line-of-Sight Range-Finder. Sensors 19(21): 4820 (2019) - [i5]Francesco Tonolini, Ashley Lyons, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith:
Variational Inference for Computational Imaging Inverse Problems. CoRR abs/1904.06264 (2019) - [i4]Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica A. Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio:
Spatial images from temporal data. CoRR abs/1912.01413 (2019) - 2018
- [c1]Oisín Moran, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith:
Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres. NeurIPS 2018: 3284-3295 - [i3]Alessandro Boccolini, Alessandro Fedrizzi, Daniele Faccio:
Ghost imaging with the human eye. CoRR abs/1808.05137 (2018) - 2017
- [i2]Susan Chan, Ryan E. Warburton, Genevieve Gariepy, Jonathan Leach, Daniele Faccio:
Non-line-of-sight tracking of people at long range. CoRR abs/1703.02124 (2017) - [i1]Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias B. Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio:
Neural network identification of people hidden from view with a single-pixel, single-photon detector. CoRR abs/1709.07244 (2017)
Coauthor Index
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last updated on 2024-10-23 20:31 CEST by the dblp team
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