Francesco Paissan

Orcid: 0000-0002-5553-7935

According to our database1, Francesco Paissan authored at least 28 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
XimSwap: Many-to-Many Face Swapping for TinyML.
ACM Trans. Embed. Comput. Syst., May, 2024

PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.
CoRR, 2024

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers.
CoRR, 2024

Replay Consolidation with Label Propagation for Continual Object Detection.
CoRR, 2024

Latent Distillation for Continual Object Detection at the Edge.
CoRR, 2024

Open-Source Conversational AI with SpeechBrain 1.0.
CoRR, 2024

Listenable Maps for Zero-Shot Audio Classifiers.
CoRR, 2024

SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.
Comput. Biol. Medicine, 2024

An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

TinyVocos: Neural Vocoders on MCUs.
Proceedings of the 2024 IEEE 5th International Symposium on the Internet of Sounds (IS2), Erlangen, Germany, September 30, 2024

Listenable Maps for Audio Classifiers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

XiNet-pose: Extremely Lightweight Pose Detection for Microcontrollers.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Structured Sparse Back-propagation for Lightweight On-Device Continual Learning on Microcontroller Units.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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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