Marco Cannici

According to our database, Marco Cannici authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames.

Marco Cannici, Davide Scaramuzza

CoRR, 2024

Revisiting Token Pruning for Object Detection and Instance Segmentation.

Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Low-power event-based face detection with asynchronous neuromorphic hardware.

Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef

CoRR, 2023

End-to-End Learned Event- and Image-based Visual Odometry.

Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza

CoRR, 2023

SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation.

Alessio Bonfiglio, Marco Cannici, Matteo Matteucci

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation.

Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning efficient and effective representations for event-based cameras.

Marco Cannici

PhD thesis, 2022

6 DoF Pose Regression via Differentiable Rendering.

Andrea Simpsi, Marco Roggerini, Marco Cannici, Matteo Matteucci

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

E²(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition.

Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation.

Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo

IEEE Robotics Autom. Lett., 2021

Skeleton-based action recognition via spatial and temporal transformer networks.

Chiara Plizzari, Marco Cannici, Matteo Matteucci

Comput. Vis. Image Underst., 2021

Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A.

Alberto Archetti, Marco Cannici, Matteo Matteucci

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation.

Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data.

Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

CoRR, 2020

Spatial Temporal Transformer Network for Skeleton-Based Action Recognition.

Chiara Plizzari, Marco Cannici, Matteo Matteucci

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

A Differentiable Recurrent Surface for Asynchronous Event-Based Data.

Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Attention Mechanisms for Object Recognition With Event-Based Cameras.

Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras.

Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras.

Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

CoRR, 2018