Exploiting DCT masking effect to improve the perceptual quality of data hiding. - Giulia Boato; Marco Carli; D. Molteni; Paolo Rota (Image Processing: Algorithms and Systems, 2010)

Real Time Detection of Social Interactions in Surveillance Video. - Paolo Rota; Nicola Conci; Nicu Sebe (ECCV Workshops (3), 2012)

The music room. - Fabio Morreale; Raul Masu; Antonella De Angeli; Paolo Rota (CHI Extended Abstracts, 2013)

Exploiting visual search theory to infer social interactions. - Paolo Rota; Duc-Tien Dang-Nguyen; Nicola Conci; Nicu Sebe (Multimedia Content and Mobile Devices, 2013)

Recognition of two-person interaction in multi-view surveillance video via proxemics cues and spatio-temporal interest points. - Bo Zhang 045; Paolo Rota; Nicola Conci (Video Surveillance and Transportation Imaging Applications, 2013)

Particles cross-influence for entity grouping. - Paolo Rota; Habib Ullah; Nicola Conci; Nicu Sebe; Francesco G. B. De Natale (EUSIPCO, 2013)

Collaborative creativity: The Music Room. - Fabio Morreale; Antonella De Angeli; Raul Masu; Paolo Rota; Nicola Conci (Pers. Ubiquitous Comput., 2014)

On automated Flow Cytometric analysis for MRD estimation of Acute Lymphoblastic Leukaemia: A comparison among different approaches. - Paolo Rota; Stefanie Groeneveld-Krentz; Michael Reiter (BIBM, 2015)

The S-HOCK dataset: Analyzing crowds at the stadium. - Davide Conigliaro; Paolo Rota; Francesco Setti; Chiara Bassetti; Nicola Conci; Nicu Sebe; Marco Cristani (CVPR, 2015)

Real-life violent social interaction detection. - Paolo Rota; Nicola Conci; Nicu Sebe; James M. Rehg (ICIP, 2015)

Human interaction recognition in the wild: Analyzing trajectory clustering from multiple-instance-learning perspective. - Bo Zhang 045; Paolo Rota; Nicola Conci; Francesco G. B. De Natale (ICME, 2015)

Social interaction analysis in in videos, from wide to close perspective. - Paolo Rota (2015)

Flow Cytometry based automatic MRD assessment in Acute Lymphoblastic Leukaemia: Longitudinal evaluation of time-specific cell population models. - Roxane Licandro; Paolo Rota; Michael Reiter; Martin Kampel (CBMI, 2016)

Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis? - Paolo Rota; Enver Sangineto; Valentina Conotter; Christopher Pramerdorfer (ICPR, 2016)

The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry. - Paolo Rota; Florian Kleber; Michael Reiter; Stefanie Groeneveld-Krentz; Martin Kampel (VISIGRAPP (3: VISAPP), 2016)

Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures. - Michael Reiter; Paolo Rota; Florian Kleber; Markus Diem; Stefanie Groeneveld-Krentz; Michael N. Dworzak (Pattern Recognit., 2016)

Indirect Match Highlights Detection with Deep Convolutional Neural Networks. - Marco Godi; Paolo Rota; Francesco Setti (ICIAP Workshops, 2017)

The S-Hock dataset: A new benchmark for spectator crowd analysis. - Francesco Setti; Davide Conigliaro; Paolo Rota; Chiara Bassetti; Nicola Conci; Nicu Sebe; Marco Cristani (Comput. Vis. Image Underst., 2017)

Filling the Gaps: Predicting Missing Joints of Human Poses Using Denoising Autoencoders. - Nicolò Carissimi; Paolo Rota; Cigdem Beyan; Vittorio Murino (ECCV Workshops (2), 2018)

Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach. - Giorgio Santolini; Paolo Rota; Davide Gandolfi; Paolo Bosetti (CVPR Workshops, 2019)

An Online Deep Learning Based System for Defects Detection in Glass Panels. - Matteo Moro; Claudio Andreatta; Chiara Corridori; Paolo Rota; Niculae Sebe (ICPR Workshops (4), 2020)

Real-Time Cross-Dataset Quality Production Assessment in Industrial Laser Cutting Machines. - Nicola Peghini; Andrea Zignoli; Davide Gandolfi; Paolo Rota; Paolo Bosetti (ICPR Workshops (4), 2020)

Class-Aware Modality Mix and Center-Guided Metric Learning for Visible-Thermal Person Re-Identification. - Yongguo Ling; Zhun Zhong; Zhiming Luo; Paolo Rota; Shaozi Li; Nicu Sebe (ACM Multimedia, 2020)

Low-Budget Unsupervised Label Query through Domain Alignment Enforcement. - Jurandy Almeida; Cristiano Saltori; Paolo Rota; Nicu Sebe (CoRR, 2020)

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. - Subhankar Roy; Willi Menapace; Sebastiaan Oei; Ben Luijten; Enrico Fini; Cristiano Saltori; Iris A. M. Huijben; Nishith Chennakeshava; Federico Mento; Alessandro Sentelli; Emanuele Peschiera; Riccardo Trevisan; et al. (IEEE Trans. Medical Imaging, 2020)

Variational Structured Attention Networks for Deep Visual Representation Learning. - Guanglei Yang; Paolo Rota; Xavier Alameda-Pineda; Dan Xu 002; Mingli Ding; Elisa Ricci 001 (CoRR, 2021)

Curriculum self-paced learning for cross-domain object detection. - Petru Soviany; Radu Tudor Ionescu; Paolo Rota; Nicu Sebe (Comput. Vis. Image Underst., 2021)

Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition. - Alessandro Conti; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (BMVC, 2022)

Unsupervised Domain Adaptation for Video Transformers in Action Recognition. - Victor G. Turrisi da Costa; Giacomo Zara; Paolo Rota; Thiago Oliveira-Santos; Nicu Sebe; Vittorio Murino; Elisa Ricci 001 (ICPR, 2022)

Dual-Head Contrastive Domain Adaptation for Video Action Recognition. - Victor G. Turrisi da Costa; Giacomo Zara; Paolo Rota; Thiago Oliveira-Santos; Nicu Sebe; Vittorio Murino; Elisa Ricci 001 (WACV, 2022)

Low-budget label query through domain alignment enforcement. - Cristiano Saltori; Paolo Rota; Nicu Sebe; Jurandy Almeida (Comput. Vis. Image Underst., 2022)

Curriculum Learning: A Survey. - Petru Soviany; Radu Tudor Ionescu; Paolo Rota; Nicu Sebe (Int. J. Comput. Vis., 2022)

AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation. - Giacomo Zara; Subhankar Roy; Paolo Rota; Elisa Ricci 001 (CVPR, 2023)

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. - Giacomo Zara; Alessandro Conti; Subhankar Roy; Stéphane Lathuilière; Paolo Rota; Elisa Ricci 001 (ICCV, 2023)

Rotation Synchronization via Deep Matrix Factorization. - GK Tejus; Giacomo Zara; Paolo Rota; Andrea Fusiello; Elisa Ricci 001; Federica Arrigoni (ICRA, 2023)

Vocabulary-free Image Classification. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (NeurIPS, 2023)

Editorial for the Special Issue on Industrial Machine Learning Applications. - Paolo Rota; Miguel Ángel Guevara-López; Francesco Setti (J. Imaging, 2023)

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Moin Nabi; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. - Guanglei Yang; Enrico Fini; Dan Xu 002; Paolo Rota; Mingli Ding; Hao Tang 005; Xavier Alameda-Pineda; Elisa Ricci 001 (IEEE Trans. Multim., 2023)

Deep Unsupervised Key Frame Extraction for Efficient Video Classification. - Hao Tang 005; Lei Ding 008; Songsong Wu; Bin Ren; Nicu Sebe; Paolo Rota (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Test-Time Zero-Shot Temporal Action Localization. - Benedetta Liberatori; Alessandro Conti; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (CVPR, 2024)

Text-Enhanced Zero-Shot Action Recognition: A Training-Free Approach. - Massimo Bosetti; Shibingfeng Zhang; Benedetta Liberatori; Giacomo Zara; Elisa Ricci 001; Paolo Rota (ICPR (15), 2024)

Socially Pertinent Robots in Gerontological Healthcare. - Xavier Alameda-Pineda; Angus Addlesee; Daniel Hernández García; Chris Reinke; Soraya Arias; Federica Arrigoni; Alex Auternaud; Lauriane Blavette; Cigdem Beyan; Luis G. Camara; Ohad Cohen; Alessandro Conti; et al. (CoRR, 2024)

Vocabulary-free Image Classification and Semantic Segmentation. - Alessandro Conti; Enrico Fini; Massimiliano Mancini; Paolo Rota; Yiming Wang 002; Elisa Ricci 001 (CoRR, 2024)

Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling. - Kidist Amde Mekonnen; Nicola Dall'Asen; Paolo Rota (CoRR, 2024)

Automatic benchmarking of large multimodal models via iterative experiment programming. - Alessandro Conti; Enrico Fini; Paolo Rota; Yiming Wang 002; Massimiliano Mancini; Elisa Ricci 001 (CoRR, 2024)

Simplifying open-set video domain adaptation with contrastive learning. - Giacomo Zara; Victor Guilherme Turrisi da Costa; Subhankar Roy; Paolo Rota; Elisa Ricci 001 (Comput. Vis. Image Underst., 2024)

Multi-focal Conditioned Latent Diffusion for Person Image Synthesis. - Jiaqi Liu; Jichao Zhang; Paolo Rota; Nicu Sebe (CVPR, 2025)

On Large Multimodal Models as Open-World Image Classifiers. - Alessandro Conti; Massimiliano Mancini; Enrico Fini; Yiming Wang 002; Paolo Rota; Elisa Ricci 001 (CoRR, 2025)

Visual Text Processing: A Comprehensive Review and Unified Evaluation. - Yan Shu; Weichao Zeng; Fangmin Zhao; Zeyu Chen; Zhenhang Li; Xiaomeng Yang; Yu Zhou 015; Paolo Rota; Xiang Bai; Lianwen Jin; Xu-Cheng Yin; Nicu Sebe (CoRR, 2025)

Guest Editorial: Special Issue on Multimodal Learning. - Michael Ying Yang; Paolo Rota; Massimiliano Mancini; Pietro Morerio; Bodo Rosenhahn; Vittorio Murino (Int. J. Comput. Vis., 2025)

EarthMind: Towards Multi-Granular and Multi-Sensor Earth Observation with Large Multimodal Models. - Yan Shu; Bin Ren; Zhitong Xiong; Danda Pani Paudel; Luc Van Gool; Begüm Demir; Nicu Sebe; Paolo Rota (CoRR, 2025)