128 citations · 293 across the 39 of their papers we have counts for
6 papers · 2 filters
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…
Convolutional Set Transformer
Federico Chinello, Giacomo Boracchi
We introduce the Convolutional Set Transformer (CST), a novel neural architecture designed to process image sets of arbitrary cardinality that are visually heterogeneous yet share…
WS: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting
Andrea Marelli, Alberto Foresti, Leonardo Pesce +2
In industrial quality control, to visually recognize unwanted items within a moving heterogeneous stream, human operators are often still indispensable. Waste-sorting stands as a s…
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…
A Deep Learning Pipeline for Solid Waste Detection in Remote Sensing Images
Federico Gibellini, Piero Fraternali, Giacomo Boracchi +4
Improper solid waste management represents both a serious threat to ecosystem health and a significant source of revenues for criminal organizations perpetrating environmental crim…