Francesco Verdoja
Francesco Verdoja
Postdoctoral Researcher at Aalto University | AI Scientist at SiloAI
Verified email at aalto.fi - Homepage
Title
Cited by
Cited by
Year
Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding
F Verdoja, D Thomas, A Sugimoto
International Conference on Multimedia and Expo 2017 (ICME 2017), 2017
272017
Superpixel-driven Graph Transform for Image Compression
G Fracastoro, F Verdoja, M Grangetto, E Magli
IEEE International Conference on Image Processing (ICIP 2015), 2015
232015
Robust Grasp Planning Over Uncertain Shape Completions
J Lundell, F Verdoja, V Kyrki
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
202019
Hallucinating robots: Inferring obstacle distances from partial laser measurements
J Lundell, F Verdoja, V Kyrki
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
102018
Fast superpixel-based hierarchical approach to image segmentation
F Verdoja, M Grangetto
International Conference on Image Analysis and Processing, 364-374, 2015
102015
Graph Laplacian for Image Anomaly Detection
F Verdoja, M Grangetto
Machine Vision and Applications 31 (11), 2020
9*2020
Deep Network Uncertainty Maps for Indoor Navigation
F Verdoja, J Lundell, V Kyrki
2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019
9*2019
Beyond top-grasps through scene completion
J Lundell, F Verdoja, V Kyrki
2020 IEEE International Conference on Robotics and Automation (ICRA), 545-551, 2020
82020
Directional graph weight prediction for image compression
F Verdoja, M Grangetto
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
72017
Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration
T Zaenker, F Verdoja, V Kyrki
2020 IEEE International Conference on Multisensor Fusion and Integration for …, 2020
52020
Global and local anomaly detectors for tumor segmentation in dynamic PET acquisitions
F Verdoja, B Bonafè, D Cavagnino, M Grangetto, C Bracco, T Varetto, ...
International Conference on Image Processing 2016 (ICIP 2016), 2016
52016
Automatic method for tumor segmentation from 3-points dynamic PET acquisitions
F Verdoja, M Grangetto, C Bracco, T Varetto, M Racca, M Stasi
IEEE International Conference on Image Processing 2014 (ICIP 2014), 937-941, 2014
52014
Automatic GTV contouring applying anomaly detection algorithm on dynamic FDG PET images
C Bracco, F Verdoja, M Grangetto, A Di Dia, M Racca, T Varetto, M Stasi
Physica Medica: European Journal of Medical Physics 32, 99, 2016
42016
Methods and apparatuses for encoding and decoding digital images through superpixels
G Fracastoro, E Magli, F Verdoja, M Grangetto
US Patent 10,616,603, 2020
32020
On the potential of smarter multi-layer maps
F Verdoja, V Kyrki
arXiv preprint arXiv:2005.11094, 2020
22020
Method and apparatus for encoding and decoding digital images or video streams
M Grangetto, F Verdoja
US Patent App. 16/488,851, 2020
22020
Efficient representation of segmentation contours using chain codes
F Verdoja, M Grangetto
IEEE International Conference on Acoustic, Speech and Signal Processing …, 2017
22017
Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements
T Nguyen Le, F Verdoja, FJ Abu-Dakka, V Kyrki
IEEE Robotics and Automation Letters, 6 (2), 2838-2845, 2021
12021
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
J Lundell, E Corona, TN Le, F Verdoja, P Weinzaepfel, G Rogez, ...
arXiv preprint arXiv:2012.09696, 2020
12020
Methods and apparatuses for encoding and decoding superpixel borders
M Grangetto, F Verdoja
US Patent 10,708,601, 2020
12020
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