Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CoRR, 2018)

Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CVPR Workshops, 2019)

Attention Mechanisms for Object Recognition With Event-Based Cameras. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (WACV, 2019)

A Differentiable Recurrent Surface for Asynchronous Event-Based Data. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (ECCV (20), 2020)

Spatial Temporal Transformer Network for Skeleton-Based Action Recognition. - Chiara Plizzari; Marco Cannici; Matteo Matteucci (ICPR Workshops (3), 2020)

Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. - Marco Cannici; Marco Ciccone; Andrea Romanoni; Matteo Matteucci (CoRR, 2020)

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 (CVPR Workshops, 2021)

Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A. - Alberto Archetti; Marco Cannici; Matteo Matteucci (LOD, 2021)

Skeleton-based action recognition via spatial and temporal transformer networks. - Chiara Plizzari; Marco Cannici; Matteo Matteucci (Comput. Vis. Image Underst., 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)

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 (CVPR, 2022)

6 DoF Pose Regression via Differentiable Rendering. - Andrea Simpsi; Marco Roggerini; Marco Cannici; Matteo Matteucci (ICIAP (2), 2022)

Learning efficient and effective representations for event-based cameras. - Marco Cannici (2022)

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. - Ling Gao 001; Hang Su; Daniel Gehrig; Marco Cannici; Davide Scaramuzza 001; Laurent Kneip (ICCV, 2023)

SoftCut: A Fully Differentiable Relaxed Graph Cut Approach for Deep Learning Image Segmentation. - Alessio Bonfiglio; Marco Cannici; Matteo Matteucci (LOD (1), 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 001 (CoRR, 2023)

Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor. - Anish Bhattacharya; Marco Cannici; Nishanth Rao; Yuezhan Tao; Vijay Kumar 001; Nikolai Matni; Davide Scaramuzza 001 (CoRL, 2024)

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames. - Marco Cannici; Davide Scaramuzza 001 (CVPR, 2024)

FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN. - Riccardo Santambrogio; Marco Cannici; Matteo Matteucci (ECCV (54), 2024)

Low-power event-based face detection with asynchronous neuromorphic hardware. - Caterina Caccavella; Federico Paredes-Vallés; Marco Cannici; Lyes Khacef (IJCNN, 2024)

Deep Visual Odometry with Events and Frames. - Roberto Pellerito; Marco Cannici; Daniel Gehrig; Joris Belhadj; Olivier Dubois-Matra; Massimo Casasco; Davide Scaramuzza 001 (IROS, 2024)

Revisiting Token Pruning for Object Detection and Instance Segmentation. - Yifei Liu; Mathias Gehrig; Nico Messikommer; Marco Cannici; Davide Scaramuzza 001 (WACV, 2024)

NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts. - Francesco Lattari; Marco Cannici; Gianluca Murdaca; Alessio Rucci; Claudio Maria Prati; Matteo Matteucci (IEEE Trans. Signal Process., 2024)

Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction. - Ivan Alberico; Marco Cannici; Giovanni Cioffi; Davide Scaramuzza 001 (CVPR Workshops, 2025)

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. - Mariam Hassan; Sebastian Stapf; Ahmad Rahimi; Pedro M. B. Rezende; Yasaman Haghighi; David Brüggemann; Isinsu Katircioglu; Lin Zhang; Xiaoran Chen; Suman Saha; Marco Cannici; Elie Aljalbout; et al. (CVPR, 2025)

Perturbed State Space Feature Encoders for Optical Flow with Event Cameras. - Gokul Raju Govinda Raju; Nikola Zubic; Marco Cannici; Davide Scaramuzza 001 (CVPR Workshops, 2025)

FaVoR: Features via Voxel Rendering for Camera Relocalization. - Vincenzo Polizzi; Marco Cannici; Davide Scaramuzza 001; Jonathan Kelly (WACV, 2025)

LiDAR Registration with Visual Foundation Models. - Niclas Vödisch; Giovanni Cioffi; Marco Cannici; Wolfram Burgard; Davide Scaramuzza 001 (CoRR, 2025)

Event-Based De-Snowing for Autonomous Driving. - Manasi Muglikar; Nico Messikommer; Marco Cannici; Davide Scaramuzza 001 (CoRR, 2025)