| Superpixel-driven Graph Transform for Image Compression G Fracastoro, F Verdoja, M Grangetto, E Magli IEEE International Conference on Image Processing (ICIP 2015), 2015 | 23 | 2015 |
| 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 | 22 | 2017 |
| 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 | 14 | 2019 |
| Fast superpixel-based hierarchical approach to image segmentation F Verdoja, M Grangetto International Conference on Image Analysis and Processing, 364-374, 2015 | 9 | 2015 |
| Deep Network Uncertainty Maps for Indoor Navigation F Verdoja, J Lundell, V Kyrki 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids …, 2019 | 8* | 2019 |
| 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 | 7 | 2018 |
| Directional graph weight prediction for image compression F Verdoja, M Grangetto 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
| Beyond top-grasps through scene completion J Lundell, F Verdoja, V Kyrki 2020 IEEE International Conference on Robotics and Automation (ICRA), 545-551, 2020 | 5 | 2020 |
| 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 | 5 | 2016 |
| 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 | 5 | 2014 |
| Graph Laplacian for Image Anomaly Detection F Verdoja, M Grangetto Machine Vision and Applications 31 (11), 2020 | 4* | 2020 |
| 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 | 4 | 2016 |
| 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 | 3 | 2020 |
| 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 | 2 | 2020 |
| Efficient representation of segmentation contours using chain codes F Verdoja, M Grangetto IEEE International Conference on Acoustic, Speech and Signal Processing …, 2017 | 2 | 2017 |
| Methods and apparatuses for encoding and decoding superpixel borders M Grangetto, F Verdoja US Patent 10,708,601, 2020 | 1 | 2020 |
| On the potential of smarter multi-layer maps F Verdoja, V Kyrki arXiv preprint arXiv:2005.11094, 2020 | 1 | 2020 |
| Method and apparatus for encoding and decoding digital images or video streams M Grangetto, F Verdoja US Patent App. 16/488,851, 2020 | 1 | 2020 |
| 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 | | 2020 |
| Hierarchical Approach to Image Segmentation. Lecture Notes in Computer Science, 9279, 2015, 10.1007978-3-319-23231-7 33. F Verdoja, MGF Superpixel-based | | 2020 |
Marco GrangettoFull Professor, Università di TorinoVerified email at unito.it
