Elena Camuffo | Ph.D. Student

Biography

Computer Graphics, Vision, and Deep Learning enthusiast.
Elena is a second-year Ph.D. student at the University of Padova. She is currently spending her period abroad at Samsung Research UK.
She received her MSc in ICT for internet and multimedia summa cum laude in 2021, and her BSc in information engineering in 2019.
Her main research interests lie in the intersection of Vision and Graphics in three-dimensional data processing.
She focuses on advanced learning strategies (continual learning, coarse-to-fine learning, domain adaptation) for 3D semantic scene understanding. Moreover, Computer Graphics and extended reality systems also address her interest.

Phone (office): +39 049 827 7774

Research areas

Semantic Scene Understanding

Semantic Scene Understanding aims at recognizing objects dealing with dense labeling of input data. I mainly focused my research on investigating this task, both in 2D (images), 3D (point clouds), and Multi-Modal settings.

Continual Learning

Advanced learning strategy aiming at training a neural network continually, progressively changing set of classes, domains, or tasks. I investigated this technique in LiDAR Semantic Segmentation.

Computer Graphics

Computer Graphics develops models from a computer-driven process. It is commonly used in animation movies and video games. I developed this topic in my activity as a teaching assistant, and I am willing to focus more on it in the future.

Extended Reality

The term groups all the projections of virtual 3D objects to the user that extend its world. It comprises Augmented Reality and Virtual Reality. I led research on LOD Optimization for XR Systems and Applications to Medical Therapy.

PUBLICATIONS

2023

Camuffo, Elena; Michieli, Umberto; Moon, Ji Joong; Kim, Daehyun; Ozay, Mete

FFT-based Selection And Optimization Of Statistics For Robust Recognition Of Severely Corrupted Images Conference

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

BibTeX

Devid, Campagnolo*; Elena, Camuffo*; Umberto, Michieli; Paolo, Borin; Simone, Milani; Andrea, Giordano

Fully Automated Scan-to-BIM via Point Cloud Instance Segmentation Proceedings Article

In: International Conference on Image Processing (ICIP), IEEE 2023.

Abstract | Links | BibTeX

Mari, Daniele; Camuffo, Elena; Milani, Simone

CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data Journal Article

In: Sensors, vol. 23, iss. 12, 2023.

Abstract | Links | BibTeX

Camuffo, Elena; Milani, Simone

Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data Proceedings Article

In: International Conference of Computer Vision and Pattern Recognition Workshops, 2023.

Abstract | Links | BibTeX

Camuffo, Elena; Michieli, Umberto; Milani, Simone

Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation Journal Article

In: IEEE Transactions on Multimedia, pp. 1-11, 2023.

Abstract | Links | BibTeX

Barbato, Francesco; Camuffo, Elena; Milani, Simone; Zanuttigh, Pietro

Continual Road-Scene Semantic Segmentation via Feature-Aligned Symmetric Multi-Modal Network Journal Article

In: arXiv preprint arXiv:2308.04702, 2023.

Abstract | Links | BibTeX

2022

Camuffo, Elena; Battisti, Federica; Pham, Francesco; Milani, Simone

Deep 3D Model Optimization for Immersive and Interactive Applications Proceedings Article

In: 2022 10th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, IEEE 2022.

Abstract | Links | BibTeX

Camuffo, Elena; Mari, Daniele; Milani, Simone

Recent advancements in learning algorithms for point clouds: An updated overview Journal Article

In: Sensors, vol. 22, no. 4, pp. 1357, 2022.

Abstract | Links | BibTeX