Phone (office): +39 049 827 7774
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 an 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 research group and his research activity is focused on image and 3D data processing and understanding.
His research interest includes semantic scene understanding with a special focus on domain adaptation and incremental learning techniques for deep networks and multi-modal data, federated learning techniques for computer vision, 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 involved in several European (VITRA, MUSTEEL, Mu-Blast), National and university funded projects. He has also been the scientific coordinator for industry funded projects including the “Next generation Time-of-Flight cameras” project funded by Sony EuTec. He has co-authored two books and many journal papers and conference proceedings.
Research areas
Publications
2020
Gmnet: Graph matching network for large scale part semantic segmentation in the wild Proceedings Article
In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII 16, pp. 397–414, Springer International Publishing 2020.
2019
Stereo and ToF data fusion by learning from synthetic data Journal Article
In: Information Fusion, vol. 49, pp. 161–173, 2019.
Unsupervised domain adaptation for tof data denoising with adversarial learning Proceedings Article
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5584–5593, 2019.
Unsupervised domain adaptation for semantic segmentation of urban scenes Proceedings Article
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0–0, 2019.
Incremental learning techniques for semantic segmentation Proceedings Article
In: Proceedings of the IEEE/CVF international conference on computer vision workshops, pp. 0–0, 2019.
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling Proceedings Article
In: Proceedings of the 13th International Conference on Distributed Smart Cameras, pp. 1–6, 2019.
A multi-camera dataset for depth estimation in an indoor scenario Journal Article
In: Data in brief, vol. 27, pp. 104619, 2019.
Confidence estimation for ToF and stereo sensors and its application to depth data fusion Journal Article
In: IEEE Sensors Journal, vol. 20, no. 3, pp. 1411–1421, 2019.
Incremental and multi-task learning strategies for coarse-to-fine semantic segmentation Journal Article
In: Technologies, vol. 8, no. 1, pp. 1, 2019.
Incremental and multi-task learning strategies for coarse-to-fine semantic segmentation Journal Article
In: Technologies, vol. 8, no. 1, pp. 1, 2019.
2018
Head-mounted gesture controlled interface for human-computer interaction Journal Article
In: Multimedia Tools and Applications, vol. 77, pp. 27–53, 2018.
Joint segmentation of color and depth data based on splitting and merging driven by surface fitting Journal Article
In: Image and Vision Computing, vol. 70, pp. 21–31, 2018.
Combination of spatially-modulated ToF and structured light for MPI-free depth estimation Proceedings Article
In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 0–0, 2018.
Deep learning for multi-path error removal in ToF sensors Proceedings Article
In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 0–0, 2018.
Deep Learning for 3D Shape Classification based on Volumetric Density and Surface Approximation Clues. Proceedings Article
In: VISIGRAPP (5: VISAPP), pp. 317–324, 2018.
2017
Method and apparatus for coding of spatial data Miscellaneous
2017, (US Patent 9,819,946).
Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting Journal Article
In: IET Computer Vision, vol. 11, no. 8, pp. 633–642, 2017.
Deep learning for confidence information in stereo and tof data fusion Proceedings Article
In: Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 697–705, 2017.
Deep learning for 3D shape classification from multiple depth maps Proceedings Article
In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 3615–3619, IEEE 2017.
2016
3D scanning of cultural heritage with consumer depth cameras Journal Article
In: Multimedia Tools and Applications, vol. 75, pp. 3631–3654, 2016.
Hand gesture recognition with jointly calibrated leap motion and depth sensor Journal Article
In: Multimedia Tools and Applications, vol. 75, pp. 14991–15015, 2016.
Face detection coupling texture, color and depth data Journal Article
In: Advances in Face Detection and Facial Image Analysis, pp. 13–33, 2016.
Operating Principles of Time-of-Flight Depth Cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 81–113, 2016.
Human Pose Estimation and Tracking Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 253–292, 2016.
Gesture Recognition Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 293–347, 2016.
Data fusion from depth and standard cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 161–196, 2016.
3D scene reconstruction from depth camera data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 231–251, 2016.
Time-of-flight and structured light depth cameras Journal Article
In: Technology and Applications, pp. 978–3, 2016.
Calibration Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 117–159, 2016.
Scene segmentation assisted by depth data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 199–230, 2016.
Operating principles of structured light depth cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 43–79, 2016.
Reliable fusion of tof and stereo depth driven by confidence measures Proceedings Article
In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII 14, pp. 386–401, Springer International Publishing 2016.
Depth map coding with elastic contours and 3D surface prediction Proceedings Article
In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 1106–1110, IEEE 2016.
Scene segmentation driven by deep learning and surface fitting Proceedings Article
In: Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III 14, pp. 118–132, Springer International Publishing 2016.
Joint Color and Depth Segmentation based on Region Merging and Surface Fitting. Proceedings Article
In: VISIGRAPP (4: VISAPP), pp. 93–100, 2016.
Depth map coding with elastic contours and 3D surface prediction Conference
Proceedings of IEEE International Conference on Image Processing (ICIP), 2016, ISBN: 978-1-4673-9961-6.
3D scanning of cultural heritage with consumer depth cameras Journal Article
In: Multimedia Tools and Applications, vol. 75, pp. 3631–3654, 2016.
Gesture Recognition Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 293–347, 2016.
Calibration Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 117–159, 2016.
Time-of-flight and structured light depth cameras Journal Article
In: Technology and Applications, pp. 978–3, 2016.
3D scene reconstruction from depth camera data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 231–251, 2016.
Data fusion from depth and standard cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 161–196, 2016.
Operating Principles of Time-of-Flight Depth Cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 81–113, 2016.
Operating principles of structured light depth cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 43–79, 2016.
Scene segmentation assisted by depth data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 199–230, 2016.
Human Pose Estimation and Tracking Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 253–292, 2016.
2015
3D hand shape analysis for palm and fingers identification Proceedings Article
In: 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), pp. 1–6, IEEE 2015.
Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications Proceedings Article
In: 2015 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6, IEEE 2015.
Compression of photo collections using geometrical information Proceedings Article
In: 2015 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6, IEEE 2015.
UHA3DS 2015: Understanding human activities through 3d sensors Journal Article
In: 2015.