Tommaso Cavallari
Tommaso Cavallari
Senior Research Scientist, Niantic, Inc.
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Cited by
Cited by
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
T Cavallari, S Golodetz, NA Lord, J Valentin, L Di Stefano, PHS Torr
Computer Vision and Pattern Recognition (CVPR), 2017
Infinitam v3: A framework for large-scale 3d reconstruction with loop closure
VA Prisacariu, O Kähler, S Golodetz, M Sapienza, T Cavallari, PHS Torr, ...
arXiv preprint arXiv:1708.00783, 2017
Real-time RGB-D camera pose estimation in novel scenes using a relocalisation cascade
T Cavallari, S Golodetz, NA Lord, J Valentin, VA Prisacariu, L Di Stefano, ...
IEEE transactions on pattern analysis and machine intelligence 42 (10), 2465 …, 2019
Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation
S Golodetz, T Cavallari, NA Lord, VA Prisacariu, DW Murray, PHS Torr
IEEE Transactions on Visualization and Computer Graphics 24 (11), 2895 - 2905, 2018
R3SGM: Real-time raster-respecting semi-global matching for power-constrained systems
O Rahnama, T Cavalleri, S Golodetz, S Walker, P Torr
2018 International Conference on Field-Programmable Technology (FPT), 102-109, 2018
Beyond controlled environments: 3d camera re-localization in changing indoor scenes
J Wald, T Sattler, S Golodetz, T Cavallari, F Tombari
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Let's take this online: Adapting scene coordinate regression network predictions for online RGB-D camera relocalisation
T Cavallari, L Bertinetto, J Mukhoti, P Torr, S Golodetz
2019 International Conference on 3D Vision (3DV), 564-573, 2019
Fusion of Inertial and Visual Measurements for RGB-D SLAM on Mobile Devices
N Brunetto, S Salti, N Fioraio, T Cavallari, L Di Stefano
Proceedings of the IEEE International Conference on Computer Vision …, 2015
Automatic detection of pole-like structures in 3D urban environments
F Tombari, N Fioraio, T Cavallari, S Salti, A Petrelli, L Di Stefano
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
Real-time highly accurate dense depth on a power budget using an fpga-cpu hybrid soc
O Rahnama, T Cavallari, S Golodetz, A Tonioni, T Joy, L Di Stefano, ...
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (5), 773-777, 2019
Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses
E Brachmann, T Cavallari, VA Prisacariu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
SkiMap++: Real-Time Mapping and Object Recognition for Robotics
D De Gregorio, T Cavallari, L Di Stefano
Proceedings of the International Conference on Computer Vision Workshops …, 2017
SemanticFusion: Joint Labeling, Tracking and Mapping
T Cavallari, L Di Stefano
Proceedings of the ECCV Workshop on Recovering 6D Object Pose, 2016
InfiniTAM v3: A framework for large-scale 3D reconstruction with loop closure. arXiv 2017
VA Prisacariu, O Kähler, S Golodetz, M Sapienza, T Cavallari, PH Torr, ...
arXiv preprint arXiv:1708.00783, 0
Through hawks’ eyes: synthetically reconstructing the visual field of a bird in flight
S Miñano, S Golodetz, T Cavallari, GK Taylor
International Journal of Computer Vision 131 (6), 1497-1531, 2023
On-line Large Scale Semantic Fusion
T Cavallari, L Di Stefano
Proceedings of the ECCV Workshop on Geometry Meets Deep Learning, 2016
Volume-based Semantic Labeling with Signed Distance Functions
T Cavallari, L Di Stefano
Pacific Rim Symposium on Image and Video Technology (PSIVT 2015), 2015
Semantic Slam: A New Paradigm for Object Recognition and Scene Reconstruction
T Cavallari
alma, 2017
3d object recognition based on correspondence grouping
T Cavallari, F Tombari
Structure annotation
R Chandler, T Westmacott, S Samangooei, B Fuller, J Cruickshank, ...
US Patent App. 17/627,508, 2022
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