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ORCIDPietro Zanuttigh
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- affiliation: University of Padua, Italy
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2020 – today
- 2025
[c59]Giulia Rizzoli, Matteo Caligiuri, Donald Shenaj, Francesco Barbato, Pietro Zanuttigh:
When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. WACV 2025: 1587-1596- [i35]Klara Reichard, Giulia Rizzoli, Stefano Gasperini, Lukas Hoyer, Pietro Zanuttigh, Nassir Navab, Federico Tombari:
From Open-Vocabulary to Vocabulary-Free Semantic Segmentation. CoRR abs/2502.11891 (2025) - [i34]Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh:
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities. CoRR abs/2503.19673 (2025) - 2024
- [j33]Marco Toldo
, Umberto Michieli, Pietro Zanuttigh:
Learning With Style: Continual Semantic Segmentation Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7434-7450 (2024) - [j32]Mazen Mel, Alexander Gatto, Pietro Zanuttigh:
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement. IEEE Trans. Computational Imaging 10: 1449-1461 (2024) - [j31]Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
Road scenes segmentation across different domains by disentangling latent representations. Vis. Comput. 40(2): 811-830 (2024) - [j30]Mazen Mel, Muhammad Siddiqui, Pietro Zanuttigh:
End-to-end learning for joint depth and image reconstruction from diffracted rotation. Vis. Comput. 40(9): 5961-5977 (2024) - [c58]Mazen Mel, Paul Springer, Pietro Zanuttigh, Zhou Haitao, Alexander Gatto:
HoloADMM: High-Quality Holographic Complex Field Recovery. ECCV (71) 2024: 125-141 - [c57]Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu:
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation. ECCV (17) 2024: 352-369 - [c56]Carmen Martin-Turrero, Maxence Bouvier, Manuel Breitenstein, Pietro Zanuttigh, Vincent Parret:
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data. ICML 2024 - [c55]Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay:
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. IROS 2024: 8587-8594 - [c54]Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay:
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. MMSys 2024: 190-201 - [c53]Giulia Rizzoli, Donald Shenaj, Pietro Zanuttigh:
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers. WACV (Workshops) 2024: 607-616 - [i33]Carmen Martin-Turrero, Maxence Bouvier, Manuel Breitenstein, Pietro Zanuttigh, Vincent Parret:
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data. CoRR abs/2402.01393 (2024) - [i32]Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay:
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. CoRR abs/2402.18402 (2024) - [i31]Giulia Rizzoli, Matteo Caligiuri, Donald Shenaj, Francesco Barbato, Pietro Zanuttigh:
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather. CoRR abs/2403.13762 (2024) - [i30]Matteo Caligiuri, Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh:
NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data. CoRR abs/2403.19376 (2024) - [i29]Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay:
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR abs/2407.01193 (2024) - [i28]Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu:
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation. CoRR abs/2407.13363 (2024) - [i27]Donald Shenaj, Ondrej Bohdal, Mete Ozay, Pietro Zanuttigh, Umberto Michieli:
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. CoRR abs/2412.05148 (2024) - 2023
- [j29]Donald Shenaj, Giulia Rizzoli, Pietro Zanuttigh:
Federated Learning in Computer Vision. IEEE Access 11: 94863-94884 (2023) - [j28]Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi:
SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. IEEE Trans. Intell. Transp. Syst. 24(7): 7012-7024 (2023) - [c52]Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh:
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. BMVC 2023: 571-574 - [c51]Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh:
Asynchronous Federated Continual Learning. CVPR Workshops 2023: 5055-5063 - [c50]Francesco Barbato, Giulia Rizzoli, Pietro Zanuttigh:
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-based Segmentation Networks. ICASSP 2023: 1-5 - [c49]Giulia Rizzoli, Francesco Barbato, Matteo Caligiuri, Pietro Zanuttigh:
SynDrone - Multi-modal UAV Dataset for Urban Scenarios. ICCV (Workshops) 2023: 2202-2212 - [c48]Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV 2023: 444-454 - [i26]Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh:
Asynchronous Federated Continual Learning. CoRR abs/2304.03626 (2023) - [i25]Giulia Rizzoli, Donald Shenaj, Pietro Zanuttigh:
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers. CoRR abs/2305.14269 (2023) - [i24]Francesco Barbato, Elena Camuffo, Simone Milani, Pietro Zanuttigh:
Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network. CoRR abs/2308.04702 (2023) - [i23]Giulia Rizzoli, Francesco Barbato, Matteo Caligiuri, Pietro Zanuttigh:
SynDrone - Multi-modal UAV Dataset for Urban Scenarios. CoRR abs/2308.10491 (2023) - [i22]Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh:
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. CoRR abs/2309.07021 (2023) - [i21]Chang Liu, Giulia Rizzoli, Francesco Barbato, Umberto Michieli, Yi Niu, Pietro Zanuttigh:
RECALL+: Adversarial Web-based Replay for Continual Learning in Semantic Segmentation. CoRR abs/2309.10479 (2023) - 2022
- [j27]Umberto Michieli, Pietro Zanuttigh:
Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation. Int. J. Comput. Vis. 130(11): 2797-2821 (2022) - [j26]Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh:
Continual coarse-to-fine domain adaptation in semantic segmentation. Image Vis. Comput. 121: 104426 (2022) - [j25]Qamar Alfalouji, Piergiorgio Sartor, Pietro Zanuttigh:
Reframing control methods for parameters optimization in adversarial image generation. Neural Networks 153: 303-313 (2022) - [j24]Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Yalcin Incesu, Pietro Zanuttigh:
Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9195-9208 (2022) - [j23]Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer:
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. IEEE Trans. Computational Imaging 8: 721-732 (2022) - [c47]Mazen Mel, Alexander Gatto, Pietro Zanuttigh:
Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images. BMVC 2022: 1063 - [c46]Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh:
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. CVPR Workshops 2022: 2686-2695 - [c45]Sofia Casarin, Sara Baldoni, Marco Carli, Pietro Zanuttigh, Federica Battisti:
Unsupervised Network Anomaly Detection by Learning on 2D Data Representations. SDS 2022: 53-58 - [i20]Donald Shenaj, Francesco Barbato, Umberto Michieli, Pietro Zanuttigh:
Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation. CoRR abs/2201.06974 (2022) - [i19]Mazen Mel, Muhammad Siddiqui, Pietro Zanuttigh:
End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation. CoRR abs/2204.07076 (2022) - [i18]Paolo Testolina, Francesco Barbato, Umberto Michieli, Marco Giordani, Pietro Zanuttigh, Michele Zorzi:
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints. CoRR abs/2204.09788 (2022) - [i17]Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh:
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. CoRR abs/2205.12918 (2022) - [i16]Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo:
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR abs/2210.02326 (2022) - [i15]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains. CoRR abs/2210.07016 (2022) - [i14]Francesco Barbato, Giulia Rizzoli, Pietro Zanuttigh:
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks. CoRR abs/2211.04188 (2022) - 2021
- [j22]Umberto Michieli, Pietro Zanuttigh:
Knowledge distillation for incremental learning in semantic segmentation. Comput. Vis. Image Underst. 205: 103167 (2021) - [j21]Enrico Buratto, Adriano Simonetto, Gianluca Agresti, Henrik Schäfer, Pietro Zanuttigh:
Deep Learning for Transient Image Reconstruction from ToF Data. Sensors 21(6): 1962 (2021) - [c44]Umberto Michieli, Pietro Zanuttigh:
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CVPR 2021: 1114-1124 - [c43]Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CVPR Workshops 2021: 2835-2845 - [c42]Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
RECALL: Replay-based Continual Learning in Semantic Segmentation. ICCV 2021: 7006-7015 - [c41]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. WACV 2021: 1357-1367 - [i13]Umberto Michieli, Pietro Zanuttigh:
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. CoRR abs/2103.06342 (2021) - [i12]Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2104.02633 (2021) - [i11]Francesco Barbato, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
Adapting Segmentation Networks to New Domains by Disentangling Latent Representations. CoRR abs/2108.03021 (2021) - [i10]Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh:
RECALL: Replay-based Continual Learning in Semantic Segmentation. CoRR abs/2108.03673 (2021) - [i9]Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer:
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. CoRR abs/2111.14396 (2021) - 2020
- [j20]Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. Image Vis. Comput. 95: 103889 (2020) - [j19]Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. IEEE Trans. Intell. Veh. 5(3): 508-518 (2020) - [c40]Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh:
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. ECCV (8) 2020: 397-414 - [c39]Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. ICPR 2020: 2845-2852 - [c38]Adriano Simonetto, Pietro Zanuttigh, Vincent Parret, Piergiorgio Sartor, Alexander Gatto:
Semi-supervised Deep Learning Techniques for Spectrum Reconstruction. ICPR 2020: 7767-7774 - [i8]Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment. CoRR abs/2001.04692 (2020) - [i7]Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training. CoRR abs/2004.12724 (2020) - [i6]Marco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation: a Review. CoRR abs/2005.10876 (2020) - [i5]Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh:
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild. CoRR abs/2007.09073 (2020) - [i4]Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings. CoRR abs/2011.12616 (2020)
2010 – 2019
- 2019
- [j18]Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh:
Stereo and ToF data fusion by learning from synthetic data. Inf. Fusion 49: 161-173 (2019) - [c37]Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 22-31 - [c36]Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 1211-1220 - [c35]Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Pietro Zanuttigh:
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. CVPR 2019: 5584-5593 - [c34]Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. ICCV Workshops 2019: 3205-3212 - [c33]Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh:
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC 2019: 9:1-9:6 - [i3]Umberto Michieli, Pietro Zanuttigh:
Incremental Learning Techniques for Semantic Segmentation. CoRR abs/1907.13372 (2019) - [i2]Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00781 (2019) - [i1]Umberto Michieli, Pietro Zanuttigh:
Knowledge Distillation for Incremental Learning in Semantic Segmentation. CoRR abs/1911.03462 (2019) - 2018
- [j17]Giampaolo Pagnutti, Pietro Zanuttigh:
Joint segmentation of color and depth data based on splitting and merging driven by surface fitting. Image Vis. Comput. 70: 21-31 (2018) - [j16]Alvise Memo, Pietro Zanuttigh:
Head-mounted gesture controlled interface for human-computer interaction. Multim. Tools Appl. 77(1): 27-53 (2018) - [c32]Gianluca Agresti, Pietro Zanuttigh:
Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation. ECCV Workshops (1) 2018: 355-371 - [c31]Gianluca Agresti, Pietro Zanuttigh:
Deep Learning for Multi-path Error Removal in ToF Sensors. ECCV Workshops (3) 2018: 410-426 - [c30]Ludovico Minto, Pietro Zanuttigh, Giampaolo Pagnutti:
Deep Learning for 3D Shape Classification based on Volumetric Density and Surface Approximation Clues. VISIGRAPP (5: VISAPP) 2018: 317-324 - 2017
- [j15]Giampaolo Pagnutti, Ludovico Minto, Pietro Zanuttigh:
Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting. IET Comput. Vis. 11(8): 633-642 (2017) - [c29]Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh:
Deep Learning for Confidence Information in Stereo and ToF Data Fusion. ICCV Workshops 2017: 697-705 - [c28]Pietro Zanuttigh, Ludovico Minto:
Deep learning for 3D shape classification from multiple depth maps. ICIP 2017: 3615-3619 - 2016
- [b2]Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, Guido Maria Cortelazzo:
Time-of-Flight and Structured Light Depth Cameras - Technology and Applications. Springer 2016, ISBN 978-3-319-30971-2, pp. 1-355 - [j14]Enrico Cappelletto, Pietro Zanuttigh, Guido M. Cortelazzo:
3D scanning of cultural heritage with consumer depth cameras. Multim. Tools Appl. 75(7): 3631-3654 (2016) - [j13]Giulio Marin, Fabio Dominio, Pietro Zanuttigh:
Hand gesture recognition with jointly calibrated Leap Motion and depth sensor. Multim. Tools Appl. 75(22): 14991-15015 (2016) - [c27]Ludovico Minto, Giampaolo Pagnutti, Pietro Zanuttigh:
Scene Segmentation Driven by Deep Learning and Surface Fitting. ECCV Workshops (3) 2016: 118-132 - [c26]Giulio Marin, Pietro Zanuttigh, Stefano Mattoccia:
Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures. ECCV (7) 2016: 386-401 - [c25]Marco Calemme, Pietro Zanuttigh, Simone Milani, Marco Cagnazzo, Béatrice Pesquet-Popescu:
Depth map coding with elastic contours and 3D surface prediction. ICIP 2016: 1106-1110 - [c24]Giampaolo Pagnutti, Pietro Zanuttigh:
Joint Color and Depth Segmentation based on Region Merging and Surface Fitting. VISIGRAPP (4: VISAPP) 2016: 93-100 - 2015
- [j12]Carlo Dal Mutto, Pietro Zanuttigh, Guido Maria Cortelazzo:
Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2260-2272 (2015) - [c23]Alvise Memo, Ludovico Minto, Pietro Zanuttigh:
Exploiting Silhouette Descriptors and Synthetic Data for Hand Gesture Recognition. STAG 2015: 15-23 - [c22]Giampaolo Pagnutti, Pietro Zanuttigh:
Scene Segmentation Based on NURBS Surface Fitting Metrics. STAG 2015: 25-34 - [c21]Ludovico Minto, Giulio Marin, Pietro Zanuttigh:
3D hand shape analysis for palm and fingers identification. FG 2015: 1-6 - [c20]Simone Milani, Pietro Zanuttigh:
Compression of photo collections using geometrical information. ICME 2015: 1-6 - [c19]Simone Zennaro, Matteo Munaro, Simone Milani, Pietro Zanuttigh, Andrea Bernardi, Stefano Ghidoni, Emanuele Menegatti:
Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications. ICME 2015: 1-6 - 2014
- [j11]Fabio Dominio, Mauro Donadeo, Pietro Zanuttigh:
Combining multiple depth-based descriptors for hand gesture recognition. Pattern Recognit. Lett. 50: 101-111 (2014) - [c18]Giulio Marin, Fabio Dominio, Pietro Zanuttigh:
Hand gesture recognition with leap motion and kinect devices. ICIP 2014: 1565-1569 - [c17]Giampaolo Pagnutti, Pietro Zanuttigh:
Scene segmentation from depth and color data driven by surface fitting. ICIP 2014: 4407-4411 - 2013
- [j10]Valeria Garro, Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo:
Edge-preserving interpolation of depth data exploiting color information. Ann. des Télécommunications 68(11-12): 597-613 (2013) - [j9]Ruzena Bajcsy, Ruigang Yang, Pietro Zanuttigh, Cha Zhang:
3D Imaging Techniques and Multimedia Applications [Guest editor's introduction]. IEEE Multim. 20(1): 14-16 (2013) - [j8]Giuliano Pasqualotto, Pietro Zanuttigh, Guido M. Cortelazzo:
Combining color and shape descriptors for 3D model retrieval. Signal Process. Image Commun. 28(6): 608-623 (2013) - [j7]Reji Mathew, David Taubman, Pietro Zanuttigh:
Scalable Coding of Depth Maps With R-D Optimized Embedding. IEEE Trans. Image Process. 22(5): 1982-1995 (2013) - [c16]Fabio Dominio, Mauro Donadeo, Giulio Marin, Pietro Zanuttigh, Guido Maria Cortelazzo:
Hand gesture recognition with depth data. ARTEMIS@ACM Multimedia 2013: 9-16 - [c15]Enrico Cappelletto, Pietro Zanuttigh, Guido Maria Cortelazzo:
Handheld scanning with 3D cameras. MMSP 2013: 367-372 - 2012
- [b1]Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo:
Time-of-Flight Cameras and Microsoft Kinect™. Springer Briefs in Electrical and Computer Engineering, Springer 2012, ISBN 978-1-4614-3806-9, pp. i-x, 1-108 - [j6]Andrea Bardella, Matteo Danieletto, Emanuele Menegatti, Andrea Zanella, Alberto Pretto, Pietro Zanuttigh:
Autonomous robot exploration in smart environments exploiting wireless sensors and visual features. Ann. des Télécommunications 67(7-8): 297-311 (2012) - [j5]Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo:
Fusion of Geometry and Color Information for Scene Segmentation. IEEE J. Sel. Top. Signal Process. 6(5): 505-521 (2012) - [c14]Reji Mathew, Pietro Zanuttigh, David Taubman:
Highly Scalable Coding of Depth Maps with Arc Breakpoints. DCC 2012: 42-51 - [c13]Carlo Dal Mutto, Pietro Zanuttigh, Stefano Mattoccia, Guido Maria Cortelazzo:
Locally Consistent ToF and Stereo Data Fusion. ECCV Workshops (1) 2012: 598-607 - [c12]Filippo Bergamasco, Andrea Albarelli, Andrea Torsello, M. Favaro, Pietro Zanuttigh:
Pairwise similarities for scene segmentation combining color and depth data. ICPR 2012: 3565-3568 - [c11]Reji Mathew, David Taubman, Pietro Zanuttigh:
Scalable depth maps with R-D optimized embedding. MMSP 2012: 266-271 - 2011
- [c10]Carlo Dal Mutto, Pietro Zanuttigh, Guido M. Cortelazzo, Stefano Mattoccia:
Scene Segmentation Assisted by Stereo Vision. 3DIMPVT 2011: 57-64 - [c9]Simone Milani, Pietro Zanuttigh, Marco Zamarin, Søren Forchhammer:
Efficient depth map compression exploiting segmented color data. ICME 2011: 1-6 - 2010
- [j4]Xenophon Zabulis, Irene Cheng, Nikolaos Grammalidis, George A. Triantafyllidis, Pietro Zanuttigh:
Advances in 3DTV: Theory and Practice. Int. J. Digit. Multim. Broadcast. 2010: 579514:1-579514:2 (2010) - [j3]Pietro Zanuttigh, Andrea Zanella, Federico Maguolo, Guido Maria Cortelazzo:
Transmission of 3D Scenes over Lossy Channels. Int. J. Digit. Multim. Broadcast. 2010: 732683:1-732683:17 (2010) - [j2]Marco Zamarin, Simone Milani, Pietro Zanuttigh, Guido M. Cortelazzo:
A novel multi-view image coding scheme based on view-warping and 3D-DCT. J. Vis. Commun. Image Represent. 21(5-6): 462-473 (2010) - [c8]Emanuele Menegatti, Matteo Danieletto, Marco Mina, Alberto Pretto, Andrea Bardella, Andrea Zanella, Pietro Zanuttigh:
Discovery, Localization and Recognition of Smart Objects by a Mobile Robot. SIMPAR 2010: 436-448
2000 – 2009
- 2009
- [c7]Matteo Danieletto, Marco Mina, Andrea Zanella, Pietro Zanuttigh, Emanuele Menegatti:
Recognition of Smart Objects by a Mobile Robot using SIFT-based Image Recognition and Wireless Communication. ECMR 2009: 73-79 - 2008
- [c6]Umberto Castellani, Guido Maria Cortelazzo, Marco Cristani, Elisabetta Delponte, Andrea Fusiello, Andrea Giachetti, Stefano Mizzaro, Francesca Odone, Enrico Puppo, Riccardo Scateni, Pietro Zanuttigh:
3-SHIRT: Three-Dimensional Shape Indexing and Retrieval Techniques. Eurographics Italian Chapter Conference 2008: 113-120 - [c5]Pietro Zanuttigh, Andrea Zanella, Guido M. Cortelazzo:
Analysis of compressed depth and image streaming on unreliable networks. ISCC 2008: 13-18 - 2006
- [j1]Pietro Zanuttigh, Nicola Brusco, David Taubman, Guido M. Cortelazzo:
A novel framework for the interactive transmission of 3D scenes. Signal Process. Image Commun. 21(9): 787-811 (2006) - [c4]Nicola Brusco, Pietro Zanuttigh, David Taubman, Guido Maria Cortelazzo:
Distortion-Sensitive Synthesis of Texture and Geometry in Interactive 3D Visualization. 3DPVT 2006: 256-263 - [c3]Pietro Zanuttigh, Nicola Brusco, David Taubman, Guido Maria Cortelazzo:
Server Policies For Interactive Transmission Of 3D Scenes. MMSP 2006: 59-64 - 2005
- [c2]Pietro Zanuttigh, Nicola Brusco, David Taubman, Guido M. Cortelazzo:
Greedy non-linear approximation of the plenoptic function for interactive transmission of 3D scenes. ICIP (1) 2005: 629-632 - 2004
- [c1]Nicola Orio, Pietro Zanuttigh, Guido Maria Cortelazzo:
Content-based retrieval of 3D models based on multiple aspects. MMSP 2004: 339-342
Coauthor Index
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