Francesco Paissan

According to our database1, Francesco Paissan authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Listenable Maps for Audio Classifiers.
CoRR, 2024

2023
tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models.
CoRR, 2023

Audio Editing with Non-Rigid Text Prompts.
CoRR, 2023

Posthoc Interpretation via Quantization.
CoRR, 2023

Scaling strategies for on-device low-complexity source separation with Conv-Tasnet.
CoRR, 2023

PhiNet-GAN: Bringing real-time face swapping to embedded devices.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Improving latency performance trade-off in keyword spotting applications at the edge.
Proceedings of the 9th International Workshop on Advances in Sensors and Interfaces, 2023

XiNet: Efficient Neural Networks for tinyML.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
PhiNets: A Scalable Backbone for Low-power AI at the Edge.
ACM Trans. Embed. Comput. Syst., September, 2022

Interpretable CNN for Single-Channel Artifacts Detection in Raw EEG Signals.
Proceedings of the IEEE Sensors Applications Symposium, 2022

On the Role of Smart Vision Sensors in Energy-Efficient Computer Vision at the Edge.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Scalable Neural Architectures for End-to-End Environmental Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Optimizing PhiNet architectures for the detection of urban sounds on low-end devices.
Proceedings of the 30th European Signal Processing Conference, 2022

Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT.
CoRR, 2021

2019
People/Car Classification using an Ultra-Low-Power Smart Vision Sensor.
Proceedings of the IEEE 8th International Workshop on Advances in Sensors and Interfaces, 2019


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