Francesco Verdoja

60 papers A* 2A 8B 4Misc 2Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enablers and barriers to AI adoption: evidence from the heavy machinery industry. Discov. Artif. Intell. Alena Valtonen, Kirsi Kokkonen, Minna Saunila, Francesco Verdoja, Grzegorz Orzechowski, Emil Kurvinen, Päivi Aaltonen, Jussi Salakka
2026	J	`jnl`	Event-Grounding Graph: Unified Spatio-Temporal Scene Graph From Robotic Observations. IEEE Robotics Autom. Lett. Phuoc Nguyen, Francesco Verdoja, Ville Kyrki
2026	J	`jnl`	Relational Scene Graphs for Object Grounding of Natural Language Commands. CoRR Julia Kuhn, Francesco Verdoja, Tsvetomila Mihaylova, Ville Kyrki
2026	J	`jnl`	Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphs. CoRR Iacopo Catalano, Francesco Verdoja, Javier Civera, Jorge Peña Queralta, Julio A. Placed
2025	A	`conf`	Do Visual-Language Grid Maps Capture Latent Semantics? IROS Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki
2025	J	`jnl`	Event-Grounding Graph: Unified Spatio-Temporal Scene Graph from Robotic Observations. CoRR Phuoc Nguyen, Francesco Verdoja, Ville Kyrki
2025	J	`jnl`	MISC: Minimal Intervention Shared Control with Guaranteed Safety under Non-Convex Constraints. CoRR Shivam Chaubey, Francesco Verdoja, Shankar Deka, Ville Kyrki
2025	J	`jnl`	MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects. CoRR Yuying Zhang, Kevin Sebastian Luck, Francesco Verdoja, Ville Kyrki, Joni Pajarinen
2025	J	`jnl`	QuASH: Using Natural-Language Heuristics to Query Visual-Language Robotic Maps. CoRR Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2025	A	`conf`	REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph. IROS Phuoc Nguyen, Francesco Verdoja, Ville Kyrki
2025	J	`jnl`	REACT: Real-time Efficient Attribute Clustering and Transfer for Updatable 3D Scene Graph. CoRR Phuoc Nguyen, Francesco Verdoja, Ville Kyrki
2024	A	`conf`	Bayesian Floor Field: Transferring people flow predictions across environments. IROS Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki
2024	J	`jnl`	Do Visual-Language Maps Capture Latent Semantics? CoRR Matti Pekkanen, Tsvetomila Mihaylova, Francesco Verdoja, Ville Kyrki
2024	A	`conf`	Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation. IROS Shivam Chaubey, Francesco Verdoja, Ville Kyrki
2024	J	`jnl`	Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation. CoRR Shivam Chaubey, Francesco Verdoja, Ville Kyrki
2024	—	`conf`	Localization Under Consistent Assumptions Over Dynamics. MFI Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2024	—	`conf`	Object-Oriented Grid Mapping in Dynamic Environments. MFI Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2023	A	`conf`	Constrained Generative Sampling of 6-DoF Grasps. IROS Jens Lundell, Francesco Verdoja, Tran Nguyen Le, Arsalan Mousavian, Dieter Fox, Ville Kyrki
2023	J	`jnl`	Constrained Generative Sampling of 6-DoF Grasps. CoRR Jens Lundell, Francesco Verdoja, Tran Nguyen Le, Arsalan Mousavian, Dieter Fox, Ville Kyrki
2023	J	`jnl`	LSVL: Large-scale season-invariant visual localization for UAVs. Robotics Auton. Syst. Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki
2023	J	`jnl`	Localization under consistent assumptions over dynamics. CoRR Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2023	J	`jnl`	Object-oriented mapping in dynamic environments. CoRR Matti Pekkanen, Francesco Verdoja, Ville Kyrki
2023	J	`jnl`	Survey of maps of dynamics for mobile robots. Int. J. Robotics Res. Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomás Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, Achim J. Lilienthal
2022	B	`conf`	Augmented Environment Representations with Complete Object Models. RO-MAN Krishnananda Prabhu Sivananda, Francesco Verdoja, Ville Kyrki
2022	J	`jnl`	Generating people flow from architecture of real unseen environments. CoRR Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki
2022	J	`jnl`	LSVL: Large-scale season-invariant visual localization for UAVs. CoRR Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki
2022	J	`jnl`	Season-Invariant GNSS-Denied Visual Localization for UAVs. IEEE Robotics Autom. Lett. Jouko Kinnari, Francesco Verdoja, Ville Kyrki
2021	J	`jnl`	Augmented Environment Representations with Complete Object Models. CoRR Krishnananda Prabhu Sivananda, Francesco Verdoja, Ville Kyrki
2021	J	`jnl`	DDGC: Generative Deep Dexterous Grasping in Clutter. CoRR Jens Lundell, Francesco Verdoja, Ville Kyrki
2021	J	`jnl`	DDGC: Generative Deep Dexterous Grasping in Clutter. IEEE Robotics Autom. Lett. Jens Lundell, Francesco Verdoja, Ville Kyrki
2021	—	`conf`	GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos. ICAR Jouko Kinnari, Francesco Verdoja, Ville Kyrki
2021	J	`jnl`	GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos. CoRR Jouko Kinnari, Francesco Verdoja, Ville Kyrki
2021	A*	`conf`	Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps. ICRA Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Grégory Rogez, Francesc Moreno-Noguer, Ville Kyrki
2021	—	`conf`	Online Object-Oriented Semantic Mapping and Map Updating. ECMR Nils Dengler, Tobias Zaenker, Francesco Verdoja, Maren Bennewitz
2021	J	`jnl`	Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements. IEEE Robotics Autom. Lett. Tran Nguyen Le, Francesco Verdoja, Fares J. Abu-Dakka, Ville Kyrki
2021	J	`jnl`	Season-invariant GNSS-denied visual localization for UAVs. CoRR Jouko Kinnari, Francesco Verdoja, Ville Kyrki
2020	A*	`conf`	Beyond Top-Grasps Through Scene Completion. ICRA Jens Lundell, Francesco Verdoja, Ville Kyrki
2020	J	`jnl`	Graph Laplacian for image anomaly detection. Mach. Vis. Appl. Francesco Verdoja, Marco Grangetto
2020	—	`conf`	Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration. MFI Tobias Zaenker, Francesco Verdoja, Ville Kyrki
2020	J	`jnl`	Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps. CoRR Jens Lundell, Enric Corona, Tran Nguyen Le, Francesco Verdoja, Philippe Weinzaepfel, Grégory Rogez, Francesc Moreno-Noguer, Ville Kyrki
2020	J	`jnl`	Notes on the Behavior of MC Dropout. CoRR Francesco Verdoja, Ville Kyrki
2020	J	`jnl`	On the Potential of Smarter Multi-layer Maps. CoRR Francesco Verdoja, Ville Kyrki
2020	J	`jnl`	Online Object-Oriented Semantic Mapping and Map Updating with Modular Representations. CoRR Nils Dengler, Tobias Zaenker, Francesco Verdoja, Maren Bennewitz
2020	J	`jnl`	Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements. CoRR Tran Nguyen Le, Francesco Verdoja, Fares J. Abu-Dakka, Ville Kyrki
2019	J	`jnl`	Beyond Top-Grasps Through Scene Completion. CoRR Jens Lundell, Francesco Verdoja, Ville Kyrki
2019	—	`conf`	Deep Network Uncertainty Maps for Indoor Navigation. Humanoids Francesco Verdoja, Jens Lundell, Ville Kyrki
2019	J	`jnl`	Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration. CoRR Tobias Zaenker, Francesco Verdoja, Ville Kyrki
2019	A	`conf`	Robust Grasp Planning Over Uncertain Shape Completions. IROS Jens Lundell, Francesco Verdoja, Ville Kyrki
2019	J	`jnl`	Robust Grasp Planning Over Uncertain Shape Completions. CoRR Jens Lundell, Francesco Verdoja, Ville Kyrki
2018	J	`jnl`	Deep Network Uncertainty Maps for Indoor Navigation. CoRR Jens Lundell, Francesco Verdoja, Ville Kyrki
2018	J	`jnl`	Graph-based Image Anomaly Detection. CoRR Francesco Verdoja, Marco Grangetto
2018	A	`conf`	Hallucinating Robots: Inferring Obstacle Distances from Partial Laser Measurements. IROS Jens Lundell, Francesco Verdoja, Ville Kyrki
2018	J	`jnl`	Hallucinating robots: Inferring obstacle distances from partial laser measurements. CoRR Jens Lundell, Francesco Verdoja, Ville Kyrki
2017	Misc	`conf`	Directional graph weight prediction for image compression. ICASSP Francesco Verdoja, Marco Grangetto
2017	Misc	`conf`	Efficient representation of segmentation contours using chain codes. ICASSP Francesco Verdoja, Marco Grangetto
2017	A	`conf`	Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding. ICME Francesco Verdoja, Diego Thomas, Akihiro Sugimoto
2016	B	`conf`	Global and local anomaly detectors for tumor segmentation in dynamic pet acquisitions. ICIP Francesco Verdoja, Barbara Bonafè, Davide Cavagnino, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi
2015	—	`conf`	Fast Superpixel-Based Hierarchical Approach to Image Segmentation. ICIAP (1) Francesco Verdoja, Marco Grangetto
2015	B	`conf`	Superpixel-driven graph transform for image compression. ICIP Giulia Fracastoro, Francesco Verdoja, Marco Grangetto, Enrico Magli
2014	B	`conf`	Automatic method for tumor segmentation from 3-points dynamic PET acquisitions. ICIP Francesco Verdoja, Marco Grangetto, Christian Bracco, Teresio Varetto, Manuela Racca, Michele Stasi