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Marco Cannici
Marco Cannici
Postdoctoral researcher, University of Zurich
Verified email at ifi.uzh.ch
Title
Cited by
Cited by
Year
Skeleton-based action recognition via spatial and temporal transformer networks
C Plizzari, M Cannici, M Matteucci
Computer Vision and Image Understanding 208, 103219, 2021
3042021
Spatial temporal transformer network for skeleton-based action recognition
C Plizzari, M Cannici, M Matteucci
Pattern recognition. ICPR international workshops and challenges: virtual …, 2021
2432021
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras
M Cannici, M Ciccone, A Romanoni, M Matteucci
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019
1512019
A differentiable recurrent surface for asynchronous event-based data
M Cannici, M Ciccone, A Romanoni, M Matteucci
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1172020
E2 (go) motion: Motion augmented event stream for egocentric action recognition
C Plizzari, M Planamente, G Goletto, M Cannici, E Gusso, M Matteucci, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
512022
Attention mechanisms for object recognition with event-based cameras
M Cannici, M Ciccone, A Romanoni, M Matteucci
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1127-1136, 2019
472019
Da4event: towards bridging the sim-to-real gap for event cameras using domain adaptation
M Planamente, C Plizzari, M Cannici, M Ciccone, F Strada, A Bottino, ...
IEEE Robotics and Automation Letters 6 (4), 6616-6623, 2021
152021
N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation
M Cannici, C Plizzari, M Planamente, M Ciccone, A Bottino, B Caputo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
112021
Mitigating motion blur in neural radiance fields with events and frames
M Cannici, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
82024
Revisiting token pruning for object detection and instance segmentation
Y Liu, M Gehrig, N Messikommer, M Cannici, D Scaramuzza
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
62024
Deep learning for asteroids autonomous terrain relative navigation
P Mancini, M Cannici, M Matteucci
Advances in Space Research 71 (9), 3748-3760, 2023
52023
A 5-point minimal solver for event camera relative motion estimation
L Gao, H Su, D Gehrig, M Cannici, D Scaramuzza, L Kneip
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
42023
Neural weighted a*: Learning graph costs and heuristics with differentiable anytime a
A Archetti, M Cannici, M Matteucci
International Conference on Machine Learning, Optimization, and Data Science …, 2021
42021
Low-power event-based face detection with asynchronous neuromorphic hardware
C Caccavella, F Paredes-Vallés, M Cannici, L Khacef
2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024
32024
6 DoF Pose Regression via Differentiable Rendering
A Simpsi, M Roggerini, M Cannici, M Matteucci
International Conference on Image Analysis and Processing, 645-656, 2022
32022
SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation
A Bonfiglio, M Cannici, M Matteucci
International Conference on Machine Learning, Optimization, and Data Science …, 2023
12023
End-to-end Learned Visual Odometry with Events and Frames
R Pellerito, M Cannici, D Gehrig, J Belhadj, O Dubois-Matra, M Casasco, ...
1
FaVoR: Features via Voxel Rendering for Camera Relocalization
V Polizzi, M Cannici, D Scaramuzza, J Kelly
arXiv preprint arXiv:2409.07571, 2024
2024
NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts
F Lattari, M Cannici, G Murdaca, A Rucci, C Prati, M Matteucci
IEEE Transactions on Signal Processing, 2023
2023
End-to-End Learned Event-and Image-based Visual Odometry
R Pellerito, M Cannici, D Gehrig, J Belhadj, O Dubois-Matra, M Casasco, ...
arXiv preprint arXiv:2309.09947, 2023
2023
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