8 citations · 18 across the 8 of their papers we have counts for
10 papers
Superquadric Primitive Decomposition of 3D point clouds via Geometric-Aware Inlier Refinement
Alessandro Rinaldi, Edoardo Tedesco, Andrea Ferraris +5
The decomposition of 3D point clouds into interpretable geometric primitives remains a longstanding challenge in Computer Vision and Computer Graphics. Among the available represen…
Cell Phantom Video Generation in Elliptical Fourier Descriptor Domain
Francesco Benedetto, Roberto Basla, Luca Magri +1
Training Deep Neural Networks for tracking individual cells in biomedical videos requires a large amount of annotated data. The annotation of videos for cell tracking is very time…
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno +3
Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles comple…
One target to align them all: LiDAR, RGB and event cameras extrinsic calibration for Autonomous Driving
Andrea Bertogalli, Giacomo Boracchi, Luca Magri
We present a novel multi-modal extrinsic calibration framework designed to simultaneously estimate the relative poses between event cameras, LiDARs, and RGB cameras, with particula…
Hashing for Structure-based Anomaly Detection
Filippo Leveni, Luca Magri, Cesare Alippi +1
We focus on the problem of identifying samples in a set that do not conform to structured patterns represented by low-dimensional manifolds. An effective way to solve this problem…
Preference Isolation Forest for Structure-based Anomaly Detection
Filippo Leveni, Luca Magri, Cesare Alippi +1
We address the problem of detecting anomalies as samples that do not conform to structured patterns represented by low-dimensional manifolds. To this end, we conceive a general ano…
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
Carlo Sgaravatti, Roberto Basla, Riccardo Pieroni +4
We present a new way to detect 3D objects from multimodal inputs, leveraging both LiDAR and RGB cameras in a hybrid late-cascade scheme, that combines an RGB detection network and…
Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting
Andrea Marelli, Luca Magri, Federica Arrigoni +1
In industrial settings, weakly supervised (WS) methods are usually preferred over their fully supervised (FS) counterparts as they do not require costly manual annotations. Unfortu…
An expert-driven data generation pipeline for histological images
Roberto Basla, Loris Giulivi, Luca Magri +1
Deep Learning (DL) models have been successfully applied to many applications including biomedical cell segmentation and classification in histological images. These models require…
Minimal Perspective Autocalibration
Andrea Porfiri Dal Cin, Timothy Duff, Luca Magri +1
We introduce a new family of minimal problems for reconstruction from multiple views. Our primary focus is a novel approach to autocalibration, a long-standing problem in computer…