Valentin Vielzeuf

According to our database, Valentin Vielzeuf authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Efficiency-oriented approaches for self-supervised speech representation learning.

Luis Lugo, Valentin Vielzeuf

Int. J. Speech Technol., September, 2024

Sustainable self-supervised learning for speech representations.

Luis Lugo, Valentin Vielzeuf

CoRR, 2024

Investigating the 'Autoencoder Behavior' in Speech Self-Supervised Models: a focus on HuBERT's Pretraining.

Valentin Vielzeuf

CoRR, 2024

Investigating Low-Cost LLM Annotation for Spoken Dialogue Understanding Datasets.

Lucas Druart, Valentin Vielzeuf, Yannick Estève

Proceedings of the Text, Speech, and Dialogue - 27th International Conference, 2024

Towards efficient self-supervised representation learning in speech processing.

Luis Lugo, Valentin Vielzeuf

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Is one brick enough to break the wall of spoken dialogue state tracking?

Lucas Druart, Valentin Vielzeuf, Yannick Estève

CoRR, 2023

Are cascade dialogue state tracking models speaking out of turn in spoken dialogues?

Lucas Druart, Léo Jacqmin, Benoît Favre, Lina Maria Rojas-Barahona, Valentin Vielzeuf

CoRR, 2023

OLISIA: a Cascade System for Spoken Dialogue State Tracking.

Léo Jacqmin, Lucas Druart, Valentin Vielzeuf, Lina Maria Rojas-Barahona, Yannick Estève, Benoît Favre

CoRR, 2023

2021

Are E2E ASR models ready for an industrial usage?

Valentin Vielzeuf, Grigory Antipov

CoRR, 2021

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition.

Maxime Burchi, Valentin Vielzeuf

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2019

Apprentissage neuronal profond pour l'analyse de contenus multimodaux et temporels. (Deep learning for multimodal and temporal contents analysis).

Valentin Vielzeuf

PhD thesis, 2019

Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning.

Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie

CoRR, 2019

The Many Variations of Emotion.

Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Frédéric Jurie

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

MFAS: Multimodal Fusion Architecture Search.

Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie

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

2018

Multi-Level Sensor Fusion with Deep Learning.

Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie

CoRR, 2018

The Many Moods of Emotion.

Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Frédéric Jurie

CoRR, 2018

An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets.

Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

CentralNet: A Multilayer Approach for Multimodal Fusion.

Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

CAKE: a Compact and Accurate K-dimensional representation of Emotion.

Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Temporal multimodal fusion for video emotion classification in the wild.

Valentin Vielzeuf, Stéphane Pateux, Frédéric Jurie

Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017