LiDAR Point Cloud Processing

Continual learning is the ability of a learning system (e.g., a neural network) to learn to recognize new concepts in subsequent learning steps without forgetting or deteriorating too much the performance on previously learned ones. It can be tackled in many different computer vision settings: in the MEDIA Lab we were among the firsts to tackle continual learning for semantic segmentation with deep networks.

Key research topics include:

  • Point cloud semantic segmentation
  • Continual learning on point cloud data
  • point cloud semantic compression

Recent publications:

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

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

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

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

Milani, Simone

Adae: Adversarial distributed source autoencoder for point cloud compression Proceedings Article

In: 2021 IEEE International Conference on Image Processing (ICIP), pp. 3078–3082, IEEE 2021.

BibTeX

Agresti, Gianluca; Milani, Simone

Material identification using RF sensors and convolutional neural networks Proceedings Article

In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3662–3666, IEEE 2019.

BibTeX

Lecci, Mattia; Milani, Simone

3D reconstruction from web harvested images using a forensic quality metric Proceedings Article

In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1997–2001, IEEE 2017.

BibTeX