Multimedia Technology and Telecommunications Lab



Pietro Zanuttigh






Home Page

People

Research Areas

Publications

Events

Projects

Teaching

 

 



--
 --

Foto Pietro Zanuttigh

Pietro Zanuttigh, Associate Professor

zanuttigh(at)dei.unipd.it 

Phone: +39 049 827 7782
 
This webpage is discontinued, have a look at the new personal page here
 

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 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 technology and telecommunications group and his research activity is focused on image and 3D data processing and understanding. His research interest includes semantic scene understanding, domain adaptation and incremental learning techniques for deep networks, 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 a guest editor of IEEE Multimedia and of the International Journal of Digital Multimedia Broadcasting and a technical program committee member of various workshop and conferences. He has also organized the First IEEE International Workshop on Vision and Graphics Computing for Multimedia Communications (held in association with the ICME conference) and the GTTI Thematic Meeting on Multimedia Signal Processing. He has co-authored two books and many journal papers and conference proceedings.

 

Research interests


His main research interests are:

Publications


Books:

 

Journal papers:
 

  • U. Michieli, P. Zanuttigh, "Edge-Aware Graph Matching Network for Part-Based Semantic Segmentation", International Journal of Computer Vision 130 (11), 2022
  • Q. Alfalouji, P. Sartor, P. Zanuttigh, "Reframing Control Methods for Parameters Optimization in Adversarial Image Generation", Elsevier Neural Networks, 2022
  • A. Simonetto, G. Agresti, P. Zanuttigh, H. Schaefer, "Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction", IEEE Transactions on Computational Imaging, 2022
  • G. Rizzoli, F. Barbato, P. Zanuttigh, "Multimodal Semantic Segmentation in Autonomous Driving: A Review of Current Approaches and Future Perspectives", MDPI Technologies, 2022
  • D. Shenaj, F. Barbato, U. Michieli, P. Zanuttigh, "Continual Coarse-to-Fine Domain Adaptation in Semantic Segmentation", Elsevier Image and Vision Computing, 2022
  • 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, 2022

 

 

 

 

 

 

 

 

 

  • 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
  • A. Bardella, M. Danieletto, E. Menegatti, A. Zanella, A. Pretto, P. Zanuttigh, "Autonomous robot exploration in smart environments exploiting wireless sensors and visual features" Annals of telecommunications, Vol. 67, No 7-8, July-August 2012

 

 

  • 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, Special Issue on "Multi-Camera Imaging, Coding and Innovative Display: Techniques and Systems", vol. 21, p. 462-473, July-August 2010
  • P. Zanuttigh, A. Zanella, F. Maguolo, G.M. Cortelazzo, "Transmission of 3D scenes over lossy channels", International Journal of Digital Multimedia Broadcasting, Special Issue on "Advances in 3DTV: Theory and Practice", Volume 2010, March 2010
  • Zabulis X., Cheng I., Grammalidis N., Triantafyllidis G.A., Zanuttigh P., "Advances in 3DTV: Theory and Practice", International Journal Of Digital Multimedia Broadcasting, Special Issue on "Advances in 3DTV: Theory and Practice", Volume 2010, March 2010

 



Book chapters:

  • U. Michieli, M. Toldo, P. Zanuttigh, "Domain adaptation and continual learning in semantic segmentation", Advanced Methods and Deep Learning in Computer Vision, 275-303, Elsevier, 2022
  • L. Nanni, A. Lumini, L. Minto, P. Zanuttigh, "Face detection coupling texture, color and depth data", Advances in Face Detection and Facial Image Analysis, Springer, 2016
  •  F. Dominio, G. Marin, M. Piazza, P. Zanuttigh, "Feature Descriptors for Depth-Based Hand Gesture Recognition", In "Computer Vision and Machine Learning with RGB-D Sensors", pp 215-23, Springer International Publishing, 2014
  •  L. Nanni, A. Lumini, F. Dominio, M. Donadeo and P. Zanuttigh, "Combination of Depth and Texture Descriptors for Gesture Recognition",  in Advances in Machine Learning Research, Nova Science Publishers, 2014
  • C. Dal. Mutto, P. Zanuttigh, G.M. Cortelazzo, "ToF cameras and stereo systems: comparison and data fusion", In "TOF Range-Imaging Cameras", F. Remondino and  D. Stoppa (Eds.), pp. 177-202, Springer Berlin Heidelberg, 2013
  • C. Dal Mutto, F. Dominio, P. Zanuttigh and S. Mattoccia, "Stereo Vision and Scene Segmentation",  in "Current Advancements in Stereo Vision ", Eidtor A. Bhatti, INTECH, 2012
  • P. Zanuttigh and G.M. Cortelazzo, "Predictive schemes for remote visualization of 3d models" (Chapter 10), In "3D Online Multimedia And Games: Processing, Transmission and Visualization", A. Basu, I. Cheng, G. Cortelazzo, and S. K. Tripathi (editors), World Scientific Publishing, December 2008
  • N. Brusco, P. Zanuttigh, D. Taubman, and G.M. Cortelazzo, "A rate distortion theoretic approach to remote visualization of 3D models" (Chapter 11), In "3D Online Multimedia And Games: Processing, Transmission and Visualization", A. Basu, I. Cheng, G. Cortelazzo, and S. K. Tripathi (editors), World Scientific Publishing, December 2008
  • P. Zanuttigh, Guido Maria Cortelazzo, and Lindsay MacDonald, "3D visualization and progressive compression of photorealistic panoramic backgrounds" (Chapter 13), In "3D Online Multimedia And Games: Processing, Transmission and Visualization", A. Basu, I. Cheng, G. Cortelazzo, and S. K. Tripathi (editors), World Scientific Publishing, December 2008
  • F. Aru, P. Zanuttigh, G. M. Cortelazzo, "Visualization of panoramic images over the Internet" in "Digital Heritage", Lindsay W. MacDonald (Editor), Butterworth-Heinemann Ltd,  May 2006

 

PhD thesis:

 

Conference proceedings:

 

 

 

 

 

 

 

 

  • Matteo Furlan, Andrea Rigoni, Sara Vanini, Gianni Zumerle, Paolo Checchia, Ludovico Cossutta, Giacomo Bettella, Pietro Zanuttigh, Piero Calvini, Luca Dassa, Antonietta Donzella, Germano Bonomi, Aldo Zenoni, "Application of muon tomography to detect radioactive sources hidden in scrap metal containers", 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA), 2013
  • m. furlan, a. rigoni, s. vanini, g. viesti, g. zumerle, g. bonomi, d. cambiaghi, l. dassa, a. donzella, m. subieta, v. villa, a. zenoni, p. calvini, s. squarcia, m. benettoni, p. checchia, f. gonella, m. pegoraro, p. zanuttigh, g. calvagno, "Muons scanner to detect radioactive source hidden in scrap metal containers: Mu-steel EU project", 2013 IEEE International Conference on Technologies for Homeland Security (HST), 2013
  • E. Cappelletto, P. Zanuttigh, G.M. Cortelazzo, "Handheld scanning with 3D cameras" ,Proceedings of MMSP 2013, Pula, Italy,2013 (Top 10% Paper Award)
  • G. Marin, M. Fraccaro, M. Donadeo, F. Dominio, P. Zanuttigh, "Palm area detection for reliable hand gesture recognition", Proceedings of MMSP 2013, Pula, Italy, 2013
  • F. Dominio, M. Donadeo, G. Marin, P. Zanuttigh, G.M. Cortelazzo, "Hand Gesture Recognition with Depth Data", ACM Multimedia Artemis Workshop, 2013

 

  • A. Albarelli, A. Torsello, M. Favaro, P. Zanuttigh, "Pairwise Similarities for Scene Segmentation Combining Color and Depth Data", Proc. of ICPR 2012, Tsukuba, Japan, November 2012
  • E. Cappelletto, P. Zanuttigh, G.M. Cortelazzo, "Handheld scanning with ToF sensors and cameras", STDay 2012, Milan, Italy, October 2012
  • C. Dal Mutto, P. Zanuttigh, S. Mattoccia, G.M. Cortelazzo, "Locally Consistent ToF and Stereo Data Fusion",  ECCV 2012 Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), Florence, Italy, October 2012.
  • R. Mathew, P. Zanuttigh, D. Taubman, 'Scalable Depth Maps With R-D Optimized Embedding", Proc. of MMSP 2012, Banff, Canada, September 2012
  • R. Mathew, P. Zanuttigh, D. Taubman, "Highly Scalable Coding of Depth Maps with Arc Breakpoints," Data Compression Conference (DCC) 2012, pp.42-51, 10-12 April 2012

 

  • C. Dal Mutto; S. Mattoccia, P. Zanuttigh, G.M. Cortelazzo, "Scene Segmentation Assisted by Stereo Vision", Proceedings of 3DIMPVT 2011, p. 57- 64, Hangzou, China, May 2011
  •  S. Milani, P. Zanuttigh, M. Zamarin, S. Forchhammer, "Efficient depth map compression exploiting segmented color data", IEEE International Conference on Multimedia and Expo (ICME), Barcelona, Spain, July 2011
  • C. Dal Mutto, F. Dominio, P. Zanuttigh, G.M.Cortelazzo, "Hand Gesture Recognition for 3D Interfaces", Proc. of STDay 2011, Turin, Italy, September 2011 (Best Paper Award)
  •  L. Bezze, C. Dal Mutto, P. Zanuttigh, F. Dominio, G.M.Cortelazzo, "ToF Cameras and Microsoft Kinect Depth Sensor for Natural Gesture Interfaces", Proc. of CHItaly; Alghero, Italy, September 2011

 

  • E. Menegatti, M. Danieletto, M. Mina, A. Pretto, A. Bardella, S. Zanconato, P. Zanuttigh, A. Zanella, "Autonomous discovery, localization and recognition of smart objects through WSN and image features", IEEE International Workshop Towards SmArt COmmunications and Network technologies applied on Autonomous Systems (SaCoNAS 2010), Miami, USA, December 2010 (Best Paper Award)
  • E. Menegatti M. Danieletto, M. Mina, A. Pretto, A. Bardella, A. Zanella, P. Zanuttigh, "Discovery, localization, and recognition of smart objects by a mobile robot", 2nd International Conference on Simulation, Modeling and Programming for Autonomous Robots (SIMPAR 2010), Darmstadt, Germania, November 2010
  • M. Zamarin, P. Zanuttigh, S. Milani, G.M. Cortelazzo, S. Forchhammer, "A Joint Multi-View Plus Depth Image Coding Scheme Based on 3D-Warping", ACM International Workshop on 3D Video Processing (3DVP2010), Firenze, Italy, October 2010
  • C. Dal Mutto, P. Zanuttigh, G.M. Cortelazzo, "Scene Segmentation by Color and Depth Information and its Applications", Proceedings of Streaming Day 2010. Udine, Italy, September 2010
  • C. Dal Mutto, P. Zanuttigh, G.M. Cortelazzo, "Accurate 3D Reconstruction by Stereo and ToF Data Fusion". Proceedings of GTTI Meeting 2010, Brescia, Italy, June 2010 (Best Paper Award)
  • C. Dal Mutto, P. Zanuttigh, G.M. Cortelazzo, "A Probabilistic Approach to Tof and Stereo Data Fusion", In Proceedings of 3DPVT 2010, Parigi, Francia, May 2010

 

  • V. Garro, C. Dal Mutto, P. Zanuttigh, G.M. Cortelazzo, "A Novel Interpolation Scheme for Range Data with Side Information", In Proceedings of European Conference on Visual Media Production (CVMP09), November 2009
  • M. Danieletto, M. Mina, A. Zanella, P. Zanuttigh, E. Menegatti, "Recognition of smart objects by a mobile robot using SIFT-based image recognition and wireless communication" In Proceedings of the European Conference on Mobile Robots (ECMR 2009), Mlini/Dubrovnik, Croazia, September 2009.
  • C. Dal Mutto, V. Garro, P. Zanuttigh, G.M. Cortelazzo, "Combined use of ToF sensors and standard cameras for 3D video acquisition". In Proceedings of STreaming Day 2009, Genova, Italy, September 2009
  • V. Garro, P. Zanuttigh, G.M. Cortelazzo, "A New Super Resolution Technique for Range Data". In Proceedings of GTTI Meeting 2009, Parma, Italy, June 2009
  • P. Zanuttigh P., G.M. Cortelazzo, "Compression of depth information for 3D rendering". In Proceedings of 3DTV Conference, p. 1-4, Potsdam, Germania, May 2009

 

  • P. Zanuttigh, A. Zanella, G.M. Cortelazzo, "Analysis of compressed depth and image streaming on unreliable networks". In Proceedings of Third Workshop on multiMedia Applications over Wireless Networks (MediaWiN 2008), Marrakech, Marocco, July 2008
  • U. Castellani, G. M. Cortelazzo, M. Cristani, E. Delponte, A. Fusiello, A. Giachetti, S. Mizzaro, F. Odone, E. Puppo, R. Scateni, P. Zanuttigh. "3-SHIRT: Three-Dimensional Shape Indexing and Retrieval Techniques". In Proceedings of Eurographics Italian Chapter Conference, p. 113-120, Salerno, Italy, July 2008

 

 

 

 

  • Nicola Orio, Pietro Zanuttigh and Guido M. Cortelazzo, "Content-Based Retrieval of 3D Models Based on Multiple Aspects", Proc. of 2004 IEEE International Workshop on Multimedia Signal Processing, Siena, 2004

 

  • G.M.Cortelazzo, P.Zanuttigh, "Predictive image compression for interactive remote visualization". Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis (ISPA2003), Rome, 2003, pp. 168-173

 

 

Patents:

  • International patent: "Apparatuses and methods for training a machine learning network for use with a time-of-flight camera", H. Schaefer, E. Buratto, G. Agresti, P. Zanuttigh, US 17110330, 2021
  • International patent: "Method and apparatus for coding of spatial data", D. S. Taubman, R. K. Mathew, P. Zanuttigh, WO 2013149307 A1, Oct 2013
  • Italian patent:  "Metodo di analisi della scena tramite metadati di geometria tridimensionale e sistema di analisi della scena che implementa tale metodo", E. Cappelletto, G.M. Cortelazzo, P. Zanuttigh, ITUB20154624A1, January 2017
  • Italian patent: "Metodo e dispositivo di elaborazione dati per la rappresentazione interattiva ad immagini di oggetti e luoghi su terminali mobili e fissi", F. Aru, P. Zanuttigh, G.M. Cortelazzo, June 2009


For all the IEEE Publications: copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.