Pietro Zanuttigh | Associate Professor

Phone (office): +39 049 827 7774

Biography

Pietro Zanuttigh was born in 1978. He graduated in Computer Engineering at the University of Padova in 2003 and got the PhD from same university in 2007. He has been an assistant professor at the University of Padova from 2007 to 2020. From 2020 he is an associate professor at the same university. He has also been a visiting researcher at the University of New South Wales (Sydney, Australia) in 2006 and in 2010. He works in the multimedia research group and his research activity is focused on image and 3D data processing and understanding.

His research interest includes semantic scene understanding with a special focus on domain adaptation and incremental learning techniques for deep networks and multi-modal data, federated learning techniques for computer vision, 3D data acquisition, Time-of-Flight sensor data processing, gesture recognition, 3D shape classification and the compression of depth maps and multi-view representations. He is an associate editor of Springer’s Visual Comptuter and an editorial board member of MDPI Technologies. He has been involved in several European (VITRA, MUSTEEL, Mu-Blast), National and university funded projects. He has also been the scientific coordinator for industry funded projects including the “Next generation Time-of-Flight cameras” project funded by Sony EuTec. He has co-authored two books and many journal papers and conference proceedings.

Publications

196 entries « 1 of 4 »

2024

Rizzoli, Giulia; Shenaj, Donald; Zanuttigh, Pietro

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers Proceedings Article

In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 615–624, 2024.

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2023

Lincetto, Federico; Agresti, Gianluca; Rossi, Mattia; Zanuttigh, Pietro

Exploiting Multiple Priors for Neural 3D Indoor Reconstruction Proceedings Article

In: 34th British Machine Vision Conference, 2023.

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Shenaj, Donald; Fan`i, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, Umberto; Ciccone, Marco; Zanuttigh, Pietro; Caputo, Barbara

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Proceedings Article

In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023, 2023.

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Testolina, Paolo; Barbato, Francesco; Michieli, Umberto; Giordani, Marco; Zanuttigh, Pietro; Zorzi, Michele

SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints Journal Article

In: IEEE Transactions on Intelligent Transportation Systems, pp. 1–13, 2023.

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Barbato, Francesco; Rizzoli, Giulia; Zanuttigh, Pietro

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks Proceedings Article

In: ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

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Amann, Simon; Mel, Mazen; Zanuttigh, Pietro; Haist, Tobias; Kamm, Markus; Gatto, Alexander; others,

Material Characterization using a Compact Computed Tomography Imaging Spectrometer with Super-resolution Capability Proceedings Article

In: Proceedings of the 6th International Conference on Optical Characterization of Materials, OCM 2023, pp. 139–148, 2023.

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Shenaj, Donald; Toldo, Marco; Rigon, Alberto; Zanuttigh, Pietro

Asynchronous Federated Continual Learning Proceedings Article

In: CVPR FedVision Workshop, 2023.

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Rizzoli, Giulia; Barbato, Francesco; Caligiuri, Matteo; Zanuttigh, Pietro

SynDrone-Multi-Modal UAV Dataset for Urban Scenarios Proceedings Article

In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2210–2220, 2023.

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Shenaj, Donald; Rizzoli, Giulia; Zanuttigh, Pietro

Federated Learning in Computer Vision Journal Article

In: IEEE Access, 2023.

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Barbato, Francesco; Camuffo, Elena; Milani, Simone; Zanuttigh, Pietro

Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network Journal Article

In: arXiv preprint arXiv:2308.04702, 2023.

Abstract | Links | BibTeX

Liu, Chang; Rizzoli, Giulia; Barbato, Francesco; Michieli, Umberto; Niu, Yi; Zanuttigh, Pietro

RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation Journal Article

In: arXiv preprint arXiv:2309.10479, 2023.

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2022

Rizzoli, Giulia; Barbato, Francesco; Zanuttigh, Pietro

Multimodal Semantic Segmentation in Autonomous Driving: A Review of Current Approaches and Future Perspectives Journal Article

In: Technologies, vol. 10, no. 4, pp. 90, 2022.

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Shenaj, Donald; Barbato, Francesco; Michieli, Umberto; Zanuttigh, Pietro

Continual coarse-to-fine domain adaptation in semantic segmentation Journal Article

In: Image and Vision Computing, vol. 121, pp. 104426, 2022.

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Agresti, Gianluca; Schäfer, Henrik; Incesu, Yalcin; Sartor, Piergiorgio; Zanuttigh, Pietro

Time-of-flight simulation data training circuitry, time-of-flight simulation data training method, time-of-flight simulation data output method, time-of-flight simulation data output circuitry Patent

2022, (US Patent App. 17/527,191).

BibTeX

Simonetto, Adriano; Agresti, Gianluca; Zanuttigh, Pietro; Schäfer, Henrik

Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction Journal Article

In: IEEE Transactions on Computational Imaging, vol. 8, pp. 721–732, 2022.

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Michieli, Umberto; Toldo, Marco; Zanuttigh, Pietro

Domain adaptation and continual learning in semantic segmentation Book Section

In: Advanced Methods and Deep Learning in Computer Vision, pp. 275–303, Academic Press, 2022.

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Mel, Mazen; Siddiqui, Muhammad; Zanuttigh, Pietro

End-to-end learning for joint depth and image reconstruction from diffracted rotation Journal Article

In: arXiv preprint arXiv:2204.07076, 2022.

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Jiang, Xiaowen; Cambareri, Valerio; Agresti, Gianluca; Ugwu, Cynthia Ifeyinwa; Simonetto, Adriano; Cardinaux, Fabien; Zanuttigh, Pietro

A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps Proceedings Article

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2687–2696, 2022.

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Alfalouji, Qamar; Sartor, Piergiorgio; Zanuttigh, Pietro

Reframing control methods for parameters optimization in adversarial image generation Journal Article

In: Neural Networks, vol. 153, pp. 303–313, 2022.

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Michieli, Umberto; Zanuttigh, Pietro

Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation Journal Article

In: International Journal of Computer Vision, vol. 130, no. 11, pp. 2797–2821, 2022.

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Toldo, Marco; Michieli, Umberto; Zanuttigh, Pietro

Learning with Style: Continual Semantic Segmentation Across Tasks and Domains Journal Article

In: arXiv preprint arXiv:2210.07016, 2022.

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Mel, Mazen; Siddiqui, Muhammad; Zanuttigh, Pietro

End-to-end learning for joint depth and image reconstruction from diffracted rotation Journal Article

In: arXiv preprint arXiv:2204.07076, 2022.

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Mel, Mazen; Gatto, Alexander; Zanuttigh, Pietro

Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images Proceedings Article

In: British Machine Vision Conference (BMVC), 2022.

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Mel, Mazen; Gatto, Alexander; Zanuttigh, Pietro

Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images Conference

BMVC, 2022.

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Gianluca, Agresti; Henrik, Schäfer; Yalcin, Incesu; Piergiorgio, Sartor; Zanuttigh, Pietro; others,

Time-of-flight simulation data training circuitry, time-of-flight simulation data training method, time-of-flight simulation data output method, time-of-flight simulation data output circuitry Patent

2022.

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Casarin, Sofia; Baldoni, Sara; Carli, Marco; Zanuttigh, Pietro; Battisti, Federica

Unsupervised Network Anomaly Detection by Learning on 2D Data Representations Proceedings Article

In: 2022 9th Swiss Conference on Data Science (SDS), pp. 53–58, IEEE 2022.

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2021

Schäfer, Henrik; Buratto, Enrico; Agresti, Gianluca; Zanuttigh, Pietro

Apparatuses and methods for training a machine learning network for use with a time-of-flight camera Miscellaneous

2021, (US Patent App. 17/110,330).

BibTeX

Barbato, Francesco; Michieli, Umberto; Toldo, Marco; Zanuttigh, Pietro

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. Journal Article

In: CoRR, 2021.

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Barbato, Francesco; Toldo, Marco; Michieli, Umberto; Zanuttigh, Pietro

Latent space regularization for unsupervised domain adaptation in semantic segmentation Proceedings Article

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2835–2845, 2021.

BibTeX

Barbato, Francesco; Michieli, Umberto; Toldo, Marco; Zanuttigh, Pietro

Road scenes segmentation across different domains by disentangling latent representations Journal Article

In: arXiv preprint arXiv:2108.03021, 2021.

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Michieli, Umberto; Zanuttigh, Pietro

Knowledge distillation for incremental learning in semantic segmentation Journal Article

In: Computer Vision and Image Understanding, vol. 205, pp. 103167, 2021.

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Spadotto, Teo; Toldo, Marco; Michieli, Umberto; Zanuttigh, Pietro

Unsupervised domain adaptation with multiple domain discriminators and adaptive self-training Proceedings Article

In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 2845–2852, IEEE 2021.

BibTeX

Toldo, Marco; Michieli, Umberto; Zanuttigh, Pietro

Unsupervised domain adaptation in semantic segmentation via orthogonal and clustered embeddings Proceedings Article

In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 1358–1368, 2021.

BibTeX

Michieli, Umberto; Zanuttigh, Pietro

Continual semantic segmentation via repulsion-attraction of sparse and disentangled latent representations Proceedings Article

In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 1114–1124, 2021.

BibTeX

Buratto, Enrico; Simonetto, Adriano; Agresti, Gianluca; Schäfer, Henrik; Zanuttigh, Pietro

Deep learning for transient image reconstruction from ToF data Journal Article

In: Sensors, vol. 21, no. 6, pp. 1962, 2021.

BibTeX

Maracani, Andrea; Michieli, Umberto; Toldo, Marco; Zanuttigh, Pietro

Recall: Replay-based continual learning in semantic segmentation Proceedings Article

In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 7026–7035, 2021.

BibTeX

Agresti, Gianluca; Schäfer, Henrik; Sartor, Piergiorgio; Incesu, Yalcin; Zanuttigh, Pietro

Unsupervised domain adaptation of deep networks for ToF depth refinement Journal Article

In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 12, pp. 9195–9208, 2021.

BibTeX

Simonetto, Adriano; Zanuttigh, Pietro; Parret, Vincent; Sartor, Piergiorgio; Gatto, Alexander

Semi-supervised deep learning techniques for spectrum reconstruction Proceedings Article

In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 7767–7774, IEEE 2021.

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2020

Michieli, Umberto; Biasetton, Matteo; Agresti, Gianluca; Zanuttigh, Pietro

Adversarial learning and self-teaching techniques for domain adaptation in semantic segmentation Journal Article

In: IEEE Transactions on Intelligent Vehicles, vol. 5, no. 3, pp. 508–518, 2020.

BibTeX

Toldo, Marco; Michieli, Umberto; Agresti, Gianluca; Zanuttigh, Pietro

Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment Journal Article

In: Image and Vision Computing, vol. 95, pp. 103889, 2020.

BibTeX

Toldo, Marco; Maracani, Andrea; Michieli, Umberto; Zanuttigh, Pietro

Unsupervised domain adaptation in semantic segmentation: a review Journal Article

In: Technologies, vol. 8, no. 2, pp. 35, 2020.

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Michieli, Umberto; Borsato, Edoardo; Rossi, Luca; Zanuttigh, Pietro

Gmnet: Graph matching network for large scale part semantic segmentation in the wild Proceedings Article

In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16, pp. 397–414, Springer International Publishing 2020.

BibTeX

2019

Agresti, Gianluca; Minto, Ludovico; Marin, Giulio; Zanuttigh, Pietro

Stereo and ToF data fusion by learning from synthetic data Journal Article

In: Information Fusion, vol. 49, pp. 161–173, 2019.

BibTeX

Agresti, Gianluca; Schaefer, Henrik; Sartor, Piergiorgio; Zanuttigh, Pietro

Unsupervised domain adaptation for tof data denoising with adversarial learning Proceedings Article

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5584–5593, 2019.

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Biasetton, Matteo; Michieli, Umberto; Agresti, Gianluca; Zanuttigh, Pietro

Unsupervised domain adaptation for semantic segmentation of urban scenes Proceedings Article

In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.

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Michieli, Umberto; Zanuttigh, Pietro

Incremental learning techniques for semantic segmentation Proceedings Article

In: Proceedings of the IEEE/CVF international conference on computer vision workshops, pp. 0–0, 2019.

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Michieli, Umberto; Camporese, Maria; Agiollo, Andrea; Pagnutti, Giampaolo; Zanuttigh, Pietro

Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling Proceedings Article

In: Proceedings of the 13th International Conference on Distributed Smart Cameras, pp. 1–6, 2019.

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Marin, Giulio; Agresti, Gianluca; Minto, Ludovico; Zanuttigh, Pietro

A multi-camera dataset for depth estimation in an indoor scenario Journal Article

In: Data in brief, vol. 27, pp. 104619, 2019.

BibTeX

Poggi, Matteo; Agresti, Gianluca; Tosi, Fabio; Zanuttigh, Pietro; Mattoccia, Stefano

Confidence estimation for ToF and stereo sensors and its application to depth data fusion Journal Article

In: IEEE Sensors Journal, vol. 20, no. 3, pp. 1411–1421, 2019.

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Mel, Mazen; Michieli, Umberto; Zanuttigh, Pietro

Incremental and multi-task learning strategies for coarse-to-fine semantic segmentation Journal Article

In: Technologies, vol. 8, no. 1, pp. 1, 2019.

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196 entries « 1 of 4 »