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Rita Pucci
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2020 – today
- 2025
- [c9]Rita Pucci, Niki Martinel:
CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement. WACV 2025: 2113-2123 - 2024
- [i11]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images. CoRR abs/2404.03474 (2024) - [i10]Rita Pucci, Niki Martinel
:
Capsule Enhanced Variational AutoEncoder for Underwater Image Reconstruction. CoRR abs/2406.01294 (2024) - 2023
- [i9]Rita Pucci, Christian Micheloni, Niki Martinel
:
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization. CoRR abs/2302.01144 (2023) - [i8]Rita Pucci, Niki Martinel:
UW-ProCCaps: UnderWater Progressive Colourisation with Capsules. CoRR abs/2307.01091 (2023) - [i7]Rita Pucci, Vincent J. Kalkman, Dan Stowell:
Comparison between transformers and convolutional models for fine-grained classification of insects. CoRR abs/2307.11112 (2023) - 2022
- [j4]Niki Martinel
, Matteo Dunnhofer
, Rita Pucci
, Gian Luca Foresti
, Christian Micheloni
:
Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification. IEEE Trans. Ind. Informatics 18(1): 87-96 (2022) - [c8]Rita Pucci
, Christian Micheloni
, Gian Luca Foresti
, Niki Martinel
:
CVGAN: Image Generation with Capsule Vector-VAE. ICIAP (1) 2022: 536-547 - [c7]Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel
:
Pro-CCaps: Progressively Teaching Colourisation to Capsules. WACV 2022: 3056-3064 - 2021
- [c6]Rita Pucci, Christian Micheloni, Niki Martinel
:
Collaborative Image and Object Level Features for Image Colourisation. CVPR Workshops 2021: 2160-2169 - [c5]Rita Pucci, Christian Micheloni, Niki Martinel
:
Self-Attention Agreement Among Capsules. ICCVW 2021: 272-280 - [i6]Rita Pucci, Christian Micheloni, Niki Martinel:
Collaboration among Image and Object Level Features for Image Colourisation. CoRR abs/2101.07576 (2021) - [i5]Rita Pucci, Niki Martinel:
TUCaN: Progressively Teaching Colourisation to Capsules. CoRR abs/2106.15176 (2021) - 2020
- [j3]Rita Pucci
, Christian Micheloni
, Gian Luca Foresti, Niki Martinel
:
Deep interactive encoding with capsule networks for image classification. Multim. Tools Appl. 79(43-44): 32243-32258 (2020) - [c4]Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel
:
Fixed simplex coordinates for angular margin loss in CapsNet. ICPR 2020: 3042-3049 - [c3]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor
, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions. IROS 2020: 5351-5357 - [i4]Rita Pucci, Alessio Micheli, Stefano Chessa, Jane Hunter:
Machine learning approaches for identifying prey handling activity in otariid pinnipeds. CoRR abs/2002.03866 (2020) - [i3]Rita Pucci, Jitendra Shankaraiah, Devcharan Jathanna, Ullas Karanth, Kartic Subr:
WhoAmI: An Automatic Tool for Visual Recognition of Tiger and Leopard Individuals in the Wild. CoRR abs/2006.09962 (2020) - [i2]Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel:
Is It a Plausible Colour? UCapsNet for Image Colourisation. CoRR abs/2012.02478 (2020)
2010 – 2019
- 2019
- [c2]Rita Pucci, Christian Micheloni
, Vito Roberto, Gian Luca Foresti, Niki Martinel
:
An Exploration of the Interaction Between capsules with ResNetCaps models. ICDSC 2019: 3:1-3:6 - [i1]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions. CoRR abs/1904.02431 (2019) - 2017
- [b1]Rita Pucci:
Analysis of vertebrates' activity by machine learning. University of Pisa, Italy, 2017 - [j2]Stefano Chessa
, Alessio Micheli
, Rita Pucci
, Jane Hunter, Gemma Carroll
, Rob Harcourt
:
A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities. Appl. Artif. Intell. 31(5-6): 453-471 (2017) - 2016
- [j1]Filippo Palumbo
, Claudio Gallicchio
, Rita Pucci
, Alessio Micheli
:
Human activity recognition using multisensor data fusion based on Reservoir Computing. J. Ambient Intell. Smart Environ. 8(2): 87-107 (2016) - [c1]Rita Pucci:
Evaluation and Deployment of Models for Activity Recognition. DC@AI*IA 2016: 64-69 - [d1]Filippo Palumbo, Claudio Gallicchio, Rita Pucci, Alessio Micheli:
Activity Recognition system based on Multisensor data fusion (AReM). UCI Machine Learning Repository, 2016
Coauthor Index

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last updated on 2025-04-24 21:01 CEST by the dblp team
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