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Marco Cannici
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2020 – today
- 2024
- [c14]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CVPR 2024: 9286-9296 - [c13]Riccardo Santambrogio, Marco Cannici, Matteo Matteucci:
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN. ECCV (54) 2024: 1-18 - [c12]Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef:
Low-power event-based face detection with asynchronous neuromorphic hardware. IJCNN 2024: 1-10 - [c11]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza:
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV 2024: 2646-2656 - [i14]Marco Cannici, Davide Scaramuzza:
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. CoRR abs/2403.19780 (2024) - [i13]Vincenzo Polizzi, Marco Cannici, Davide Scaramuzza, Jonathan Kelly:
FaVoR: Features via Voxel Rendering for Camera Relocalization. CoRR abs/2409.07571 (2024) - 2023
- [c10]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. ICCV 2023: 8015-8025 - [c9]Alessio Bonfiglio, Marco Cannici, Matteo Matteucci:
SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation. LOD (1) 2023: 497-511 - [i12]Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza:
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR abs/2306.07050 (2023) - [i11]Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza:
End-to-End Learned Event- and Image-based Visual Odometry. CoRR abs/2309.09947 (2023) - [i10]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. CoRR abs/2309.17054 (2023) - [i9]Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef:
Low-power event-based face detection with asynchronous neuromorphic hardware. CoRR abs/2312.14261 (2023) - 2022
- [b1]Marco Cannici:
Learning efficient and effective representations for event-based cameras. Polytechnic University of Milan, Italy, 2022 - [c8]Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo:
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. CVPR 2022: 19903-19915 - [c7]Andrea Simpsi, Marco Roggerini, Marco Cannici, Matteo Matteucci:
6 DoF Pose Regression via Differentiable Rendering. ICIAP (2) 2022: 645-656 - 2021
- [j2]Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Skeleton-based action recognition via spatial and temporal transformer networks. Comput. Vis. Image Underst. 208-209: 103219 (2021) - [j1]Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo:
DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation. IEEE Robotics Autom. Lett. 6(4): 6616-6623 (2021) - [c6]Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci:
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. CVPR Workshops 2021: 1342-1347 - [c5]Alberto Archetti, Marco Cannici, Matteo Matteucci:
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. LOD 2021: 596-610 - [i8]Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo:
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation. CoRR abs/2103.12768 (2021) - [i7]Alberto Archetti, Marco Cannici, Matteo Matteucci:
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. CoRR abs/2105.01480 (2021) - [i6]Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo:
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition. CoRR abs/2112.03596 (2021) - 2020
- [c4]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
A Differentiable Recurrent Surface for Asynchronous Event-Based Data. ECCV (20) 2020: 136-152 - [c3]Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-Based Action Recognition. ICPR Workshops (3) 2020: 694-701 - [i5]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. CoRR abs/2001.03455 (2020) - [i4]Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-based Action Recognition. CoRR abs/2008.07404 (2020) - [i3]Chiara Plizzari, Marco Cannici, Matteo Matteucci:
Spatial Temporal Transformer Network for Skeleton-based Action Recognition. CoRR abs/2012.06399 (2020)
2010 – 2019
- 2019
- [c2]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. CVPR Workshops 2019: 1656-1665 - [c1]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition With Event-Based Cameras. WACV 2019: 1127-1136 - 2018
- [i2]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. CoRR abs/1805.07931 (2018) - [i1]Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci:
Attention Mechanisms for Object Recognition with Event-Based Cameras. CoRR abs/1807.09480 (2018)
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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