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This
page contains only some of the most recent and relevant
publications. The publications lists can be found
under the pages of the corresponding people or of the
corresponding research
areas.
Books:
Selected Publications:
- G.
Agresti, H. Schafer, P. Sartor, Y.
Incesu, P. Zanuttigh, "Unsupervised
Domain Adaptation of Deep Networks for ToF Depth
Refinement", IEEE Transactions on Pattern
Analysis and Machine Intelligence, 2021
- A. Maracani, U. Michieli, M.
Toldo, P. Zanuttigh, RECALL: Replay-based Continual
Learning in Semantic Segmentation,
International Conference on Computer Vision
(ICCV), 2021.
- U.
Michieli and P. Zanuttigh, Continual Semantic Segmentation via
Repulsion-Attraction of Sparse and Disentangled
Latent Representations, International
Conference on Computer Vision and Pattern
Recognition (CVPR), 2021.
- U.
Michieli, P. Zanuttigh, Knowledge Distillation for
Incremental Learning in Semantic Segmentation,
Elsevier Computer Vision and
Image Understanding, 2021
- U.
Michieli, E. Borsato, L. Rossi,
P. Zanuttigh, "GMNet: Graph Matching Network for
Large Scale Part Semantic Segmentation in the Wild", Proceedings of the European
Conference on Computer Vision (ECCV), Edinburgh, UK,
2020.
- U. Michieli, M. Biasetton, G.
Agresti, P. Zanuttigh, "Adversarial
Learning and Self-Teaching Techniques for Domain
Adaptation in Semantic Segmentation", IEEE
Transactions on Intelligent Vehicles, 2020
- M. Toldo, U. Michieli, G. Agresti,
P. Zanuttigh, "Unsupervised
Domain Adaptation for Mobile Semantic Segmentation
based on Cycle Consistency and Feature Alignment",
Elsevier Image and Vision Computing, 2020
- G.
Agresti, H. Schaefer, P. Sartor, P. Zanuttigh, "Unsupervised Domain Adaptation for ToF
Data Denoising with Adversarial Learning",
Proceedings of the Int. Conference on Computer Vision
and Pattern Recognition (CVPR), Long Beach, USA, 2019
- G.
Agresti, L. Minto, G. Marin, P. Zanuttigh, "Stereo
and ToF data fusion by learning from synthetic data", Information Fusion, vol. 49,
161-173, 2019
- G.
Marin, P. Zanuttigh, S. Mattoccia, "Reliable Fusion
of ToF and Stereo Depth Driven by Confidence
Measures", European Conference on Computer Vision
(ECCV), 2016. Web site
PDF
- C.
Dal Mutto, P. Zanuttigh, G.M. Cortelazzo, "Probabilistic
ToF and Stereo Data Fusion Based on Mixed Pixels
Measurement Models", IEEE Transaction on
Pattern Analysis and Machine Intelligence, 2015 PDF
- S. Milani, G. Calvagno, " Distributed
Multiple Description Video Transmission via
Noncooperative Games With Opportunistic Players",
IEEE Transactions on Circuits and Systems for Video
Technology, vol. 25, no. 1, 2015, pp. 125-138, DOI:
10.1109/TCSVT.2014.2334066, ISSN: 1051-8215, Bibtex
PDF
- F.
Dominio, M. Donadeo, P. Zanuttigh,"Combining
multiple depth-based descriptors for hand
gesture recognition", Pattern Recognition
Letters, vol. 50, pp. 101-111, 2014 PDF
- S. Milani, M. Tagliasacchi, S.
Tubaro, "Discriminating multiple JPEG
compressions using first digit features",
APSIPA Transactions on Signal and Information
Processing, vol. 3, e19, 2014, pp. 1-10, DOI:
10.1017/ATSIP.2014.19, ISSN: 2048-7703, Bibtex
PDF
Software
- R. Mathew, D. Taubman, P.
Zanuttigh, "Scalable Coding of Depth Maps with
R-D Optimized Embedding", IEEE Transaction on
Image Processing, Vol. 22 ,
n. 5, pp 1982 - 1995, 2013 PDF
- G.
Pasqualotto, P. Zanuttigh, G.M. Cortelazzo,
"Combining color and shape descriptors for 3D
model retrieval", Signal Processing: Image
Communication, Volume 28, Issue 6, , Pages
608-623, July 2013PDF
- S. Milani, M. Fontani, P.
Bestagini, M. Barni, A. Piva, M. Tagliasacchi, S.
Tubaro, "An overview on video forensics", APSIPA
Transactions on Signal and Information Processing,
vol. 1 no. 1, Aug. 2012, e2 doi:10.1017/ATSIP2012.2.
Bibtex
PDF
- C. Dal Mutto, P. Zanuttigh,
G.M. Cortelazzo, "Fusion of Geometry and Color
Information for Scene Segmentation," IEEE Journal of
Selected Topics in Signal Processing, vol.6, no.5, pp.505-521, Sept.
2012 PDF
- A. Paviotti, D.A. Forsyth,
G.M. Cortelazzo, "Lightness Recovery for
Pictorial Surfaces", International Journal of
Computer Vision, Volume 94, Issue 1, p 54-77,
2011 PDF
- S. Milani, G. Calvagno, "A
Cognitive Approach for Effective Coding and
Transmission of 3D Video", ACM Transactions on
Multimedia Computing, Communications, and
Applications (ACM TOMCCAP), vol. 7S, No. 1, Oct.
2011, pp. 23:1-23:21, ISSN: 1551-6857, DOI:
10.1145/2037676.2037680. Video
demo available here
Bibtex
PDF
- L. Cappellari, S. Milani, C.
Cruz-Reyes, G. Calvagno, "Resolution Scalable Image
Coding with Reversible Cellular Automata", IEEE
Trans. on Image Processing, vol. 20 no. 5 pp.
1461-1468, 2011. Bibtex
PDF
Web site
- S. Milani, "Fast H.264/AVC
FRExt Intra Coding Using Belief Propagation", IEEE
Trans. on Image Processing, vol. 20 no. 1, Jan 2011,
pp. 121-131. doi: 10.1109/TIP.2010.2055572 Bibtex
PDF
Web site
- M. Zamarin, S. Milani, P. Zanuttigh,
G.M. Cortelazzo, "A novel multi-view image coding
scheme based on view-warping and 3D-DCT",
Journal of Visual Communication and Image
Representation, vol. 21; p. 462-473,2010
- S. Milani, G.Calvagno,"A
Depth Image Coder Based on Progressive Silhouettes,"
IEEE Signal Processing Letters, vol. 17, no. 8, Aug.
2010, pp. 711 - 714. Bibtex
PDF
Web site
Software
- S. Milani, G.Calvagno,
"Multiple Description Distributed Video Coding Using
Redundant Slices and Lossy Syndromes," IEEE Signal
Processing Letters, Vol. 17, no. 1, pp. 51-54, Jan
2010, doi: 10.1109/LSP.2009.2031748. Bibtex
PDF
Web site
- N. Brusco, P. Zanuttigh, D. Taubman
and G.M. Cortelazzo, "A novel framework for the
interactive transmission of 3d scenes". Signal
Processing-Image Communication, vol. 21, pp. 787-811
ISSN: 0923-5965. October 2006.
- L. Lucchese, S. Leorin and G.M.
Cortelazzo, "Estimation of Two-Dimensional Affine
Transformations Through Polar Curve Matching and Its
Application to Image Mosaicking and Remote Sensing
Data Registration". IEEE Transactions on Image
Processing, vol. 15, pp. 3008-3019 ISSN: 1057-7149,
2006.
- M. Andreetto, N. Brusco and G. M
Cortelazzo, "Automatic 3D Modeling of Textured
Cultural Heritage Objects", in IEEE Trans. on
Image Processing, vol 13, No.3, pp.354-369, March
2004.
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