Marco Cannici

PhD Student

Robotics and Perception Group

Biography

I’m a postdoctoral researcher at the Robotics and Perception Group, led by Prof. Davide Scaramuzza. My research focuses on visual perception using event-based cameras with the aim of bridging the gap between these sensors and deep learning models. I’m interested in efficient and effective ways of encoding and processing event data, as well as methods of embedding algorithms into end-to-end trainable deep learning models to improve their robustness and explainability

Interests

Deep Learning
Computer Vision
Event-Based Cameras
Representation Learning
Implicit Differentiation

Education

PhD Student in Information Technology, 2022

Politecnico di Milano
MSc in Computer Science and Engineering, 2018

Politecnico di Milano
BSc in Computer Science and Engineering, 2015

Politecnico di Milano

Publications

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Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo (2021). DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation. IEEE Robotics and Automation Letters.

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Alberto Archetti, Marco Cannici, Matteo Matteucci (2021). Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A*. International Conference on Machine Learning, Optimization, and Data Science.

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Chiara Plizzari, Marco Cannici, Matteo Matteucci (2021). Skeleton-based action recognition via spatial and temporal transformer networks. Computer Vision and Image Understanding.

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Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci (2021). N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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Chiara Plizzari, Marco Cannici, Matteo Matteucci (2021). Spatial Temporal Transformer Network for Skeleton-Based Action Recognition. Pattern Recognition. ICPR International Workshops and Challenges.

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

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Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci (2019). Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci (2019). Attention Mechanisms for Object Recognition With Event-Based Cameras. 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

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