Search Results - "ROTA, Paolo"

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    Curriculum self-paced learning for cross-domain object detection by Soviany, Petru, Ionescu, Radu Tudor, Rota, Paolo, Sebe, Nicu

    Published in Computer vision and image understanding (01-03-2021)
    “…Training (source) domain bias affects state-of-the-art object detectors, such as Faster R-CNN, when applied to new (target) domains. To alleviate this problem,…”
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    Journal Article
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    Editorial for the Special Issue on Industrial Machine Learning Applications by Rota, Paolo, Lopez, Miguel Angel Guevara, Setti, Francesco

    Published in Journal of imaging (01-12-2023)
    “…In the rapidly evolving field of industrial machine learning, this Special Issue on Industrial Machine Learning Applications aims to shed light on the…”
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    Journal Article
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    Curriculum Learning: A Survey by Soviany, Petru, Ionescu, Radu Tudor, Rota, Paolo, Sebe, Nicu

    Published in International journal of computer vision (01-06-2022)
    “…Training machine learning models in a meaningful order, from the easy samples to the hard ones, using curriculum learning can provide performance improvements…”
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    Journal Article
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    Cut Quality Estimation in Industrial Laser Cutting Machines: A Machine Learning Approach by Santolini, Giorgio, Rota, Paolo, Gandolfi, Davide, Bosetti, Paolo

    “…The use of machine learning models to improve industrial production quality is becoming more popular year after year. The main reason is the huge data…”
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    Conference Proceeding
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    Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation by Yang, Guanglei, Fini, Enrico, Xu, Dan, Rota, Paolo, Ding, Mingli, Nabi, Moin, Alameda-Pineda, Xavier, Ricci, Elisa

    “…A fundamental and challenging problem in deep learning is catastrophic forgetting, i.e., the tendency of neural networks to fail to preserve the knowledge…”
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    Journal Article
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    Variational Structured Attention Networks for Deep Visual Representation Learning by Yang, Guanglei, Rota, Paolo, Alameda-Pineda, Xavier, Xu, Dan, Ding, Mingli, Ricci, Elisa

    Published in IEEE transactions on image processing (02-03-2022)
    “…Convolutional neural networks have enabled major progresses in addressing pixel-level prediction tasks such as semantic segmentation, depth estimation, surface…”
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    Journal Article
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    Continual Attentive Fusion for Incremental Learning in Semantic Segmentation by Yang, Guanglei, Fini, Enrico, Xu, Dan, Rota, Paolo, Ding, Mingli, Tang, Hao, Alameda-Pineda, Xavier, Ricci, Elisa

    Published in IEEE transactions on multimedia (01-01-2023)
    “…Over the past years, semantic segmentation, similar to many other tasks in computer vision, has benefited from the progress in deep neural networks, resulting…”
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    Journal Article
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    Simplifying open-set video domain adaptation with contrastive learning by Zara, Giacomo, Turrisi da Costa, Victor Guilherme, Roy, Subhankar, Rota, Paolo, Ricci, Elisa

    Published in Computer vision and image understanding (01-04-2024)
    “…In an effort to reduce annotation costs in action recognition, unsupervised video domain adaptation methods have been proposed that aim to adapt a predictive…”
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    Journal Article
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    AutoLabel: CLIP-based framework for Open-Set Video Domain Adaptation by Zara, Giacomo, Roy, Subhankar, Rota, Paolo, Ricci, Elisa

    “…Open-set Unsupervised Video Domain Adaptation (OU-VDA) deals with the task of adapting an action recognition model from a labelled source domain to an…”
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    Conference Proceeding
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    Dual-Head Contrastive Domain Adaptation for Video Action Recognition by Turrisi da Costa, Victor G., Zara, Giacomo, Rota, Paolo, Oliveira-Santos, Thiago, Sebe, Nicu, Murino, Vittorio, Ricci, Elisa

    “…Unsupervised domain adaptation (UDA) methods have become very popular in computer vision. However, while several techniques have been proposed for images, much…”
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    Conference Proceeding
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    Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures by Reiter, Michael, Rota, Paolo, Kleber, Florian, Diem, Markus, Groeneveld-Krentz, Stefanie, Dworzak, Michael

    Published in Pattern recognition (01-12-2016)
    “…We propose a supervised learning approach to automatic quantification of cell populations in flow cytometric samples. One sample contains up to millions of…”
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    Journal Article
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    The S-Hock dataset: A new benchmark for spectator crowd analysis by Setti, Francesco, Conigliaro, Davide, Rota, Paolo, Bassetti, Chiara, Conci, Nicola, Sebe, Nicu, Cristani, Marco

    Published in Computer vision and image understanding (01-06-2017)
    “…•Spectator crowd is a particular kind of crowd where people are “interested in watching something specific that they came to see”.•We present a novel dataset…”
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    Journal Article
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    Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis? by Rota, Paolo, Sangineto, Enver, Conotter, Valentina, Pramerdorfer, Christopher

    “…The pervasive availability of the Internet, coupled with the development of increasingly powerful technologies, has led digital images to be the primary source…”
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    Conference Proceeding
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    The S-HOCK dataset: Analyzing crowds at the stadium by Conigliaro, Davide, Rota, Paolo, Setti, Francesco, Bassetti, Chiara, Conci, Nicola, Sebe, Nicu, Cristani, Marco

    “…The topic of crowd modeling in computer vision usually assumes a single generic typology of crowd, which is very simplistic. In this paper we adopt a taxonomy…”
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    Conference Proceeding
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    Collaborative creativity: The Music Room by Morreale, Fabio, De Angeli, Antonella, Masu, Raul, Rota, Paolo, Conci, Nicola

    Published in Personal and ubiquitous computing (01-06-2014)
    “…In this paper, we reflect on our experience of designing, developing and evaluating interactive spaces for collaborative creativity. In particular, we are…”
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    Journal Article