Automatic method for tumor segmentation from 3-points dynamic PET acquisitions. - Francesco Verdoja; Marco Grangetto; Christian Bracco; Teresio Varetto; Manuela Racca; Michele Stasi (ICIP, 2014)

Fast Superpixel-Based Hierarchical Approach to Image Segmentation. - Francesco Verdoja; Marco Grangetto (ICIAP (1), 2015)

Superpixel-driven graph transform for image compression. - Giulia Fracastoro; Francesco Verdoja; Marco Grangetto; Enrico Magli (ICIP, 2015)

Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions. - Francesco Verdoja; Barbara Bonafè; Davide Cavagnino; Marco Grangetto; Christian Bracco; Teresio Varetto; Manuela Racca; Michele Stasi (ICIP, 2016)

Efficient representation of segmentation contours using chain codes. - Francesco Verdoja; Marco Grangetto (ICASSP, 2017)

Directional graph weight prediction for image compression. - Francesco Verdoja; Marco Grangetto (ICASSP, 2017)

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding. - Francesco Verdoja; Diego Thomas; Akihiro Sugimoto (ICME, 2017)

Hallucinating Robots: Inferring Obstacle Distances from Partial Laser Measurements. - Jens Lundell; Francesco Verdoja; Ville Kyrki (IROS, 2018)

Graph-based Image Anomaly Detection. - Francesco Verdoja; Marco Grangetto (CoRR, 2018)

Deep Network Uncertainty Maps for Indoor Navigation. - Francesco Verdoja; Jens Lundell; Ville Kyrki (Humanoids, 2019)

Robust Grasp Planning Over Uncertain Shape Completions. - Jens Lundell; Francesco Verdoja; Ville Kyrki (IROS, 2019)

Beyond Top-Grasps Through Scene Completion. - Jens Lundell; Francesco Verdoja; Ville Kyrki (ICRA, 2020)

Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration. - Tobias Zaenker; Francesco Verdoja; Ville Kyrki (MFI, 2020)

On the Potential of Smarter Multi-layer Maps. - Francesco Verdoja; Ville Kyrki (CoRR, 2020)

Notes on the Behavior of MC Dropout. - Francesco Verdoja; Ville Kyrki (CoRR, 2020)

Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations. - Nils Dengler; Tobias Zaenker; Francesco Verdoja; Maren Bennewitz (CoRR, 2020)

Graph Laplacian for image anomaly detection. - Francesco Verdoja; Marco Grangetto (Mach. Vis. Appl., 2020)

Online Object-Oriented Semantic Mapping and Map Updating. - Nils Dengler; Tobias Zaenker; Francesco Verdoja; Maren Bennewitz (ECMR, 2021)

GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos. - Jouko Kinnari; Francesco Verdoja; Ville Kyrki (ICAR, 2021)

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps. - Jens Lundell; Enric Corona; Tran Nguyen Le; Francesco Verdoja; Philippe Weinzaepfel; Grégory Rogez; Francesc Moreno-Noguer; Ville Kyrki (ICRA, 2021)

Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements. - Tran Nguyen Le; Francesco Verdoja; Fares J. Abu-Dakka; Ville Kyrki (IEEE Robotics Autom. Lett., 2021)

DDGC: Generative Deep Dexterous Grasping in Clutter. - Jens Lundell; Francesco Verdoja; Ville Kyrki (IEEE Robotics Autom. Lett., 2021)

Augmented Environment Representations with Complete Object Models. - Krishnananda Prabhu Sivananda; Francesco Verdoja; Ville Kyrki (RO-MAN, 2022)

Generating people flow from architecture of real unseen environments. - Francesco Verdoja; Tomasz Piotr Kucner; Ville Kyrki (CoRR, 2022)

Season-Invariant GNSS-Denied Visual Localization for UAVs. - Jouko Kinnari; Francesco Verdoja; Ville Kyrki (IEEE Robotics Autom. Lett., 2022)

Constrained Generative Sampling of 6-DoF Grasps. - Jens Lundell; Francesco Verdoja; Tran Nguyen Le; Arsalan Mousavian; Dieter Fox; Ville Kyrki (IROS, 2023)

Object-oriented mapping in dynamic environments. - Matti Pekkanen; Francesco Verdoja; Ville Kyrki (CoRR, 2023)

Survey of maps of dynamics for mobile robots. - Tomasz Piotr Kucner; Martin Magnusson 002; Sariah Mghames; Luigi Palmieri; Francesco Verdoja; Chittaranjan Srinivas Swaminathan; Tomás Krajník; Erik Schaffernicht; Nicola Bellotto; Marc Hanheide; Achim J. Lilienthal (Int. J. Robotics Res., 2023)

LSVL: Large-scale season-invariant visual localization for UAVs. - Jouko Kinnari; Riccardo Renzulli; Francesco Verdoja; Ville Kyrki (Robotics Auton. Syst., 2023)

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation. - Shivam Chaubey; Francesco Verdoja; Ville Kyrki (IROS, 2024)

Bayesian Floor Field: Transferring people flow predictions across environments. - Francesco Verdoja; Tomasz Piotr Kucner; Ville Kyrki (IROS, 2024)

Localization Under Consistent Assumptions Over Dynamics. - Matti Pekkanen; Francesco Verdoja; Ville Kyrki (MFI, 2024)

Object-Oriented Grid Mapping in Dynamic Environments. - Matti Pekkanen; Francesco Verdoja; Ville Kyrki (MFI, 2024)

Do Visual-Language Maps Capture Latent Semantics? - Matti Pekkanen; Tsvetomila Mihaylova; Francesco Verdoja; Ville Kyrki (CoRR, 2024)

REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph. - Phuoc Nguyen; Francesco Verdoja; Ville Kyrki (CoRR, 2025)

MISC: Minimal Intervention Shared Control with Guaranteed Safety under Non-Convex Constraints. - Shivam Chaubey; Francesco Verdoja; Shankar Deka; Ville Kyrki (CoRR, 2025)

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects. - Yuying Zhang; Kevin Sebastian Luck; Francesco Verdoja; Ville Kyrki; Joni Pajarinen (CoRR, 2025)

QuASH: Using Natural-Language Heuristics to Query Visual-Language Robotic Maps. - Matti Pekkanen; Francesco Verdoja; Ville Kyrki (CoRR, 2025)

Event-Grounding Graph: Unified Spatio-Temporal Scene Graph from Robotic Observations. - Phuoc Nguyen; Francesco Verdoja; Ville Kyrki (CoRR, 2025)