Temporal multimodal fusion for video emotion classification in the wild. - Valentin Vielzeuf; Stéphane Pateux; Frédéric Jurie (ICMI, 2017)

CAKE: a Compact and Accurate K-dimensional representation of Emotion. - Corentin Kervadec; Valentin Vielzeuf; Stéphane Pateux; Alexis Lechervy; Frédéric Jurie (BMVC, 2018)

CentralNet: A Multilayer Approach for Multimodal Fusion. - Valentin Vielzeuf; Alexis Lechervy; Stéphane Pateux; Frédéric Jurie (ECCV Workshops (6), 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 (ICMI, 2018)

The Many Moods of Emotion. - Valentin Vielzeuf; Corentin Kervadec; Stéphane Pateux; Frédéric Jurie (CoRR, 2018)

Multi-Level Sensor Fusion with Deep Learning. - Valentin Vielzeuf; Alexis Lechervy; Stéphane Pateux; Frédéric Jurie (CoRR, 2018)

MFAS: Multimodal Fusion Architecture Search. - Juan-Manuel Pérez-Rúa; Valentin Vielzeuf; Stéphane Pateux; Moez Baccouche; Frédéric Jurie (CVPR, 2019)

The Many Variations of Emotion. - Valentin Vielzeuf; Corentin Kervadec; Stéphane Pateux; Frédéric Jurie (FG, 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)

Apprentissage neuronal profond pour l'analyse de contenus multimodaux et temporels. (Deep learning for multimodal and temporal contents analysis). - Valentin Vielzeuf (2019)

Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition. - Maxime Burchi; Valentin Vielzeuf (ASRU, 2021)

Are E2E ASR models ready for an industrial usage? - Valentin Vielzeuf; Grigory Antipov (CoRR, 2021)

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)

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)

Is one brick enough to break the wall of spoken dialogue state tracking? - Lucas Druart; Valentin Vielzeuf; Yannick Estève (CoRR, 2023)

Towards efficient self-supervised representation learning in speech processing. - Luis Lugo; Valentin Vielzeuf (EACL (Findings), 2024)

Investigating Low-Cost LLM Annotation for Spoken Dialogue Understanding Datasets. - Lucas Druart; Valentin Vielzeuf; Yannick Estève (TSD (2), 2024)

Investigating the 'Autoencoder Behavior' in Speech Self-Supervised Models: a focus on HuBERT's Pretraining. - Valentin Vielzeuf (CoRR, 2024)

Sustainable self-supervised learning for speech representations. - Luis Lugo; Valentin Vielzeuf (CoRR, 2024)

Efficiency-oriented approaches for self-supervised speech representation learning. - Luis Lugo; Valentin Vielzeuf (Int. J. Speech Technol., 2024)