Content-based retrieval of 3D models based on multiple aspects. - Nicola Orio; Pietro Zanuttigh; Guido Maria Cortelazzo (MMSP, 2004)

Greedy non-linear approximation of the plenoptic function for interactive transmission of 3D scenes. - Pietro Zanuttigh; Nicola Brusco; David Taubman; Guido M. Cortelazzo (ICIP (1), 2005)

Distortion-Sensitive Synthesis of Texture and Geometry in Interactive 3D Visualization. - Nicola Brusco; Pietro Zanuttigh; David Taubman; Guido Maria Cortelazzo (3DPVT, 2006)

Server Policies For Interactive Transmission Of 3D Scenes. - Pietro Zanuttigh; Nicola Brusco; David Taubman; Guido Maria Cortelazzo (MMSP, 2006)

A novel framework for the interactive transmission of 3D scenes. - Pietro Zanuttigh; Nicola Brusco; David Taubman; Guido M. Cortelazzo (Signal Process. Image Commun., 2006)

3-SHIRT: Three-Dimensional Shape Indexing and Retrieval Techniques. - Umberto Castellani; Guido Maria Cortelazzo; Marco Cristani; Elisabetta Delponte; Andrea Fusiello; Andrea Giachetti 001; Stefano Mizzaro; Francesca Odone; Enrico Puppo; Riccardo Scateni; Pietro Zanuttigh (Eurographics Italian Chapter Conference, 2008)

Analysis of compressed depth and image streaming on unreliable networks. - Pietro Zanuttigh; Andrea Zanella; Guido M. Cortelazzo (ISCC, 2008)

Recognition of Smart Objects by a Mobile Robot using SIFT-based Image Recognition and Wireless Communication. - Matteo Danieletto; Marco Mina; Andrea Zanella; Pietro Zanuttigh; Emanuele Menegatti (ECMR, 2009)

Discovery, Localization and Recognition of Smart Objects by a Mobile Robot. - Emanuele Menegatti; Matteo Danieletto; Marco Mina; Alberto Pretto; Andrea Bardella; Andrea Zanella; Pietro Zanuttigh (SIMPAR, 2010)

Advances in 3DTV: Theory and Practice. - Xenophon Zabulis; Irene Cheng 001; Nikolaos Grammalidis; George A. Triantafyllidis; Pietro Zanuttigh (Int. J. Digit. Multim. Broadcast., 2010)

Transmission of 3D Scenes over Lossy Channels. - Pietro Zanuttigh; Andrea Zanella; Federico Maguolo; Guido Maria Cortelazzo (Int. J. Digit. Multim. Broadcast., 2010)

A novel multi-view image coding scheme based on view-warping and 3D-DCT. - Marco Zamarin; Simone Milani; Pietro Zanuttigh; Guido M. Cortelazzo (J. Vis. Commun. Image Represent., 2010)

Scene Segmentation Assisted by Stereo Vision. - Carlo Dal Mutto; Pietro Zanuttigh; Guido M. Cortelazzo; Stefano Mattoccia (3DIMPVT, 2011)

Efficient depth map compression exploiting segmented color data. - Simone Milani; Pietro Zanuttigh; Marco Zamarin; Søren Forchhammer (ICME, 2011)

Highly Scalable Coding of Depth Maps with Arc Breakpoints. - Reji Mathew; Pietro Zanuttigh; David Taubman (DCC, 2012)

Locally Consistent ToF and Stereo Data Fusion. - Carlo Dal Mutto; Pietro Zanuttigh; Stefano Mattoccia; Guido Maria Cortelazzo (ECCV Workshops (1), 2012)

Pairwise similarities for scene segmentation combining color and depth data. - Filippo Bergamasco; Andrea Albarelli; Andrea Torsello; M. Favaro; Pietro Zanuttigh (ICPR, 2012)

Scalable depth maps with R-D optimized embedding. - Reji Mathew; David Taubman; Pietro Zanuttigh (MMSP, 2012)

Autonomous robot exploration in smart environments exploiting wireless sensors and visual features. - Andrea Bardella; Matteo Danieletto; Emanuele Menegatti; Andrea Zanella; Alberto Pretto; Pietro Zanuttigh (Ann. des Télécommunications, 2012)

Fusion of Geometry and Color Information for Scene Segmentation. - Carlo Dal Mutto; Pietro Zanuttigh; Guido M. Cortelazzo (IEEE J. Sel. Top. Signal Process., 2012)

Time-of-Flight Cameras and Microsoft Kinect™ - Carlo Dal Mutto; Pietro Zanuttigh; Guido M. Cortelazzo (Springer, 2012)

Hand gesture recognition with depth data. - Fabio Dominio; Mauro Donadeo; Giulio Marin; Pietro Zanuttigh; Guido Maria Cortelazzo (ARTEMIS@ACM Multimedia, 2013)

Handheld scanning with 3D cameras. - Enrico Cappelletto; Pietro Zanuttigh; Guido Maria Cortelazzo (MMSP, 2013)

Edge-preserving interpolation of depth data exploiting color information. - Valeria Garro; Carlo Dal Mutto; Pietro Zanuttigh; Guido M. Cortelazzo (Ann. des Télécommunications, 2013)

3D Imaging Techniques and Multimedia Applications [Guest editor's introduction]. - Ruzena Bajcsy; Ruigang Yang; Pietro Zanuttigh; Cha Zhang (IEEE Multim., 2013)

Combining color and shape descriptors for 3D model retrieval. - Giuliano Pasqualotto; Pietro Zanuttigh; Guido M. Cortelazzo (Signal Process. Image Commun., 2013)

Scalable Coding of Depth Maps With R-D Optimized Embedding. - Reji Mathew; David Taubman; Pietro Zanuttigh (IEEE Trans. Image Process., 2013)

Hand gesture recognition with leap motion and kinect devices. - Giulio Marin; Fabio Dominio; Pietro Zanuttigh (ICIP, 2014)

Scene segmentation from depth and color data driven by surface fitting. - Giampaolo Pagnutti; Pietro Zanuttigh (ICIP, 2014)

Combining multiple depth-based descriptors for hand gesture recognition. - Fabio Dominio; Mauro Donadeo; Pietro Zanuttigh (Pattern Recognit. Lett., 2014)

Exploiting Silhouette Descriptors and Synthetic Data for Hand Gesture Recognition. - Alvise Memo; Ludovico Minto; Pietro Zanuttigh (STAG, 2015)

Scene Segmentation Based on NURBS Surface Fitting Metrics. - Giampaolo Pagnutti; Pietro Zanuttigh (STAG, 2015)

3D hand shape analysis for palm and fingers identification. - Ludovico Minto; Giulio Marin; Pietro Zanuttigh (FG, 2015)

Compression of photo collections using geometrical information. - Simone Milani; Pietro Zanuttigh (ICME, 2015)

Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications. - Simone Zennaro; Matteo Munaro; Simone Milani; Pietro Zanuttigh; Andrea Bernardi; Stefano Ghidoni; Emanuele Menegatti (ICME, 2015)

Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models. - Carlo Dal Mutto; Pietro Zanuttigh; Guido Maria Cortelazzo (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Time-of-Flight and Structured Light Depth Cameras - Technology and Applications - Pietro Zanuttigh; Giulio Marin; Carlo Dal Mutto; Fabio Dominio; Ludovico Minto; Guido Maria Cortelazzo (Springer, 2016)

Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures. - Giulio Marin; Pietro Zanuttigh; Stefano Mattoccia (ECCV (7), 2016)

Scene Segmentation Driven by Deep Learning and Surface Fitting. - Ludovico Minto; Giampaolo Pagnutti; Pietro Zanuttigh (ECCV Workshops (3), 2016)

Depth map coding with elastic contours and 3D surface prediction. - Marco Calemme; Pietro Zanuttigh; Simone Milani; Marco Cagnazzo; Béatrice Pesquet-Popescu (ICIP, 2016)

Joint Color and Depth Segmentation based on Region Merging and Surface Fitting. - Giampaolo Pagnutti; Pietro Zanuttigh (VISIGRAPP (4: VISAPP), 2016)

3D scanning of cultural heritage with consumer depth cameras. - Enrico Cappelletto; Pietro Zanuttigh; Guido M. Cortelazzo (Multim. Tools Appl., 2016)

Hand gesture recognition with jointly calibrated Leap Motion and depth sensor. - Giulio Marin; Fabio Dominio; Pietro Zanuttigh (Multim. Tools Appl., 2016)

Deep Learning for Confidence Information in Stereo and ToF Data Fusion. - Gianluca Agresti; Ludovico Minto; Giulio Marin; Pietro Zanuttigh (ICCV Workshops, 2017)

Deep learning for 3D shape classification from multiple depth maps. - Pietro Zanuttigh; Ludovico Minto (ICIP, 2017)

Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting. - Giampaolo Pagnutti; Ludovico Minto; Pietro Zanuttigh (IET Comput. Vis., 2017)

Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation. - Gianluca Agresti; Pietro Zanuttigh (ECCV Workshops (1), 2018)

Deep Learning for Multi-path Error Removal in ToF Sensors. - Gianluca Agresti; Pietro Zanuttigh (ECCV Workshops (3), 2018)

Deep Learning for 3D Shape Classification based on Volumetric Density and Surface Approximation Clues. - Ludovico Minto; Pietro Zanuttigh; Giampaolo Pagnutti (VISIGRAPP (5: VISAPP), 2018)

Joint segmentation of color and depth data based on splitting and merging driven by surface fitting. - Giampaolo Pagnutti; Pietro Zanuttigh (Image Vis. Comput., 2018)

Head-mounted gesture controlled interface for human-computer interaction. - Alvise Memo; Pietro Zanuttigh (Multim. Tools Appl., 2018)

Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. - Gianluca Agresti; Henrik Schäfer; Piergiorgio Sartor; Pietro Zanuttigh (CVPR, 2019)

Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. - Matteo Biasetton; Umberto Michieli; Gianluca Agresti; Pietro Zanuttigh (CVPR Workshops, 2019)

Incremental Learning Techniques for Semantic Segmentation. - Umberto Michieli; Pietro Zanuttigh (ICCV Workshops, 2019)

Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. - Umberto Michieli; Maria Camporese; Andrea Agiollo; Giampaolo Pagnutti; Pietro Zanuttigh (ICDSC, 2019)

Stereo and ToF data fusion by learning from synthetic data. - Gianluca Agresti; Ludovico Minto; Giulio Marin; Pietro Zanuttigh (Inf. Fusion, 2019)

GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. - Umberto Michieli; Edoardo Borsato; Luca Rossi 008; Pietro Zanuttigh (ECCV (8), 2020)

Semi-supervised Deep Learning Techniques for Spectrum Reconstruction. - Adriano Simonetto; Pietro Zanuttigh; Vincent Parret; Piergiorgio Sartor; Alexander Gatto (ICPR, 2020)

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. - Teo Spadotto; Marco Toldo; Umberto Michieli; Pietro Zanuttigh (ICPR, 2020)

Unsupervised Domain Adaptation in Semantic Segmentation: a Review. - Marco Toldo; Andrea Maracani; Umberto Michieli; Pietro Zanuttigh (CoRR, 2020)

Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. - Marco Toldo; Umberto Michieli; Gianluca Agresti; Pietro Zanuttigh (Image Vis. Comput., 2020)

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. - Umberto Michieli; Matteo Biasetton; Gianluca Agresti; Pietro Zanuttigh (IEEE Trans. Intell. Veh., 2020)

Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. - Francesco Barbato; Marco Toldo; Umberto Michieli; Pietro Zanuttigh (CVPR Workshops, 2021)

Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. - Umberto Michieli; Pietro Zanuttigh (CVPR, 2021)

RECALL: Replay-based Continual Learning in Semantic Segmentation. - Andrea Maracani; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (ICCV, 2021)

Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. - Marco Toldo; Umberto Michieli; Pietro Zanuttigh (WACV, 2021)

Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. - Francesco Barbato; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (CoRR, 2021)

Knowledge distillation for incremental learning in semantic segmentation. - Umberto Michieli; Pietro Zanuttigh (Comput. Vis. Image Underst., 2021)

Deep Learning for Transient Image Reconstruction from ToF Data. - Enrico Buratto; Adriano Simonetto; Gianluca Agresti; Henrik Schäfer; Pietro Zanuttigh (Sensors, 2021)

Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images. - Mazen Mel; Alexander Gatto; Pietro Zanuttigh (BMVC, 2022)

A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. - Xiaowen Jiang 003; Valerio Cambareri; Gianluca Agresti; Cynthia Ifeyinwa Ugwu; Adriano Simonetto; Fabien Cardinaux; Pietro Zanuttigh (CVPR Workshops, 2022)

Unsupervised Network Anomaly Detection by Learning on 2D Data Representations. - Sofia Casarin; Sara Baldoni; Marco Carli; Pietro Zanuttigh; Federica Battisti (SDS, 2022)

Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation. - Umberto Michieli; Pietro Zanuttigh (Int. J. Comput. Vis., 2022)

Continual coarse-to-fine domain adaptation in semantic segmentation. - Donald Shenaj; Francesco Barbato; Umberto Michieli; Pietro Zanuttigh (Image Vis. Comput., 2022)

Reframing control methods for parameters optimization in adversarial image generation. - Qamar Alfalouji; Piergiorgio Sartor; Pietro Zanuttigh (Neural Networks, 2022)

Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement. - Gianluca Agresti; Henrik Schäfer; Piergiorgio Sartor; Yalcin Incesu; Pietro Zanuttigh (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. - Adriano Simonetto; Gianluca Agresti; Pietro Zanuttigh; Henrik Schäfer (IEEE Trans. Computational Imaging, 2022)

Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. - Federico Lincetto; Gianluca Agresti; Mattia Rossi; Pietro Zanuttigh (BMVC, 2023)

Asynchronous Federated Continual Learning. - Donald Shenaj; Marco Toldo; Alberto Rigon; Pietro Zanuttigh (CVPR Workshops, 2023)

DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-based Segmentation Networks. - Francesco Barbato; Giulia Rizzoli; Pietro Zanuttigh (ICASSP, 2023)

SynDrone - Multi-modal UAV Dataset for Urban Scenarios. - Giulia Rizzoli; Francesco Barbato; Matteo Caligiuri; Pietro Zanuttigh (ICCV (Workshops), 2023)

Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. - Donald Shenaj; Eros Fanì; Marco Toldo; Debora Caldarola; Antonio Tavera; Umberto Michieli; Marco Ciccone; Pietro Zanuttigh; Barbara Caputo (WACV, 2023)

Federated Learning in Computer Vision. - Donald Shenaj; Giulia Rizzoli; Pietro Zanuttigh (IEEE Access, 2023)

RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. - Chang Liu 047; Giulia Rizzoli; Francesco Barbato; Umberto Michieli; Yi Niu; Pietro Zanuttigh (CoRR, 2023)

SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. - Paolo Testolina; Francesco Barbato; Umberto Michieli; Marco Giordani; Pietro Zanuttigh; Michele Zorzi (IEEE Trans. Intell. Transp. Syst., 2023)

NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data. - Matteo Caligiuri; Adriano Simonetto; Pietro Zanuttigh (ECCV Workshops (19), 2024)

Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation. - Chang Liu 047; Giulia Rizzoli; Pietro Zanuttigh; Fu Li 002; Yi Niu (ECCV (17), 2024)

HoloADMM: High-Quality Holographic Complex Field Recovery. - Mazen Mel; Paul Springer; Pietro Zanuttigh; Haitao Zhou; Alexander Gatto (ECCV (71), 2024)

Continual Road-Scene Semantic Segmentation Via Feature-Aligned Symmetric Multi-Modal Network. - Francesco Barbato; Elena Camuffo; Simone Milani; Pietro Zanuttigh (ICIP, 2024)

ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data. - Carmen Martin-Turrero; Maxence Bouvier; Manuel Breitenstein; Pietro Zanuttigh; Vincent Parret (ICML, 2024)

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. - Francesco Barbato; Umberto Michieli; Jijoong Moon; Pietro Zanuttigh; Mete Ozay (IROS, 2024)

A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. - Francesco Barbato; Umberto Michieli; Mehmet Kerim Yucel; Pietro Zanuttigh; Mete Ozay (MMSys, 2024)

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers. - Giulia Rizzoli; Donald Shenaj; Pietro Zanuttigh (WACV (Workshops), 2024)

NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data. - Matteo Caligiuri; Adriano Simonetto; Gianluca Agresti; Pietro Zanuttigh (CoRR, 2024)

LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. - Donald Shenaj; Ondrej Bohdal; Mete Ozay; Pietro Zanuttigh; Umberto Michieli (CoRR, 2024)

Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement. - Mazen Mel; Alexander Gatto; Pietro Zanuttigh (IEEE Trans. Computational Imaging, 2024)

Road scenes segmentation across different domains by disentangling latent representations. - Francesco Barbato; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (Vis. Comput., 2024)

End-to-end learning for joint depth and image reconstruction from diffracted rotation. - Mazen Mel; Muhammad Siddiqui; Pietro Zanuttigh (Vis. Comput., 2024)

Learning With Style: Continual Semantic Segmentation Across Tasks and Domains. - Marco Toldo; Umberto Michieli; Pietro Zanuttigh (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities. - Federico Lincetto; Gianluca Agresti; Mattia Rossi; Pietro Zanuttigh (CVPR, 2025)

When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. - Giulia Rizzoli; Matteo Caligiuri; Donald Shenaj; Francesco Barbato; Pietro Zanuttigh (WACV, 2025)

From Open-Vocabulary to Vocabulary-Free Semantic Segmentation. - Klara Reichard; Giulia Rizzoli; Stefano Gasperini; Lukas Hoyer; Pietro Zanuttigh; Nassir Navab; Federico Tombari (CoRR, 2025)

FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models. - Matteo Caligiuri; Francesco Barbato; Donald Shenaj; Umberto Michieli; Pietro Zanuttigh (CoRR, 2025)