Follow
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
2752021
Spatial temporal transformer network for skeleton-based action recognition
C Plizzari, M Cannici, M Matteucci
Pattern recognition. ICPR international workshops and challenges: virtualá…, 2021
2302021
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
1392019
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 23á…, 2020
1042020
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
442019
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 patterná…, 2022
422022
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
112021
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 patterná…, 2021
82021
Deep learning for asteroids autonomous terrain relative navigation
P Mancini, M Cannici, M Matteucci
Advances in Space Research 71 (9), 3748-3760, 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 Scienceá…, 2021
42021
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 Computerá…, 2024
32024
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 Patterná…, 2024
22024
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 Visioná…, 2023
22023
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
22022
Low-power event-based face detection with asynchronous neuromorphic hardware
C Caccavella, F Paredes-VallÚs, M Cannici, L Khacef
arXiv preprint arXiv:2312.14261, 2023
12023
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
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 Scienceá…, 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
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/RSJ International Conference on Intelligent Robots and Systems, 2021
2021
Learning efficient and effective representations for event-based cameras
M Cannici
2021
The system can't perform the operation now. Try again later.
Articles 1–20