7 papers
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…
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…
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…
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…