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Pietro Zanuttigh
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- affiliation: University of Padua, Italy
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Books and Theses
- 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 - 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
Journal Articles
- 2024
- [j30]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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2016
- [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) - 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) - 2014
- [j11]Fabio Dominio, Mauro Donadeo, Pietro Zanuttigh:
Combining multiple depth-based descriptors for hand gesture recognition. Pattern Recognit. Lett. 50: 101-111 (2014) - 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) - 2012
- [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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [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 - 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 - 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 - 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 - 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 - 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 - 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
- [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
- [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
- [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
- [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
- [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
- [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
- [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 - 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
- [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
Informal and Other Publications
- 2024
- [i32]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - 2023
- [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
- [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
- [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
- [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) - 2019
- [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)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-22 19:48 CEST by the dblp team
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