Active Boosting for Interactive Object Retrieval. - Alexis Lechervy; Philippe Henri Gosselin; Frédéric Precioso (ICPR, 2010)

Linear kernel combination using boosting. - Alexis Lechervy; Philippe Henri Gosselin; Frédéric Precioso (ESANN, 2012)

Boosting kernel combination for multi-class image categorization. - Alexis Lechervy; Philippe Henri Gosselin; Frédéric Precioso (ICIP, 2012)

Boosted kernel for image categorization. - Alexis Lechervy; Philippe Henri Gosselin; Frédéric Precioso (Multim. Tools Appl., 2014)

Boosted Metric Learning for Efficient Identity-Based Face Retrieval. - Romain Negrel; Alexis Lechervy; Frédéric Jurie (BMVC, 2015)

MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval. - Romain Negrel; Alexis Lechervy; Frédéric Jurie (BMVC, 2016)

A joint learning approach for cross domain age estimation. - Binod Bhattarai; Gaurav Sharma 004; Alexis Lechervy; Frédéric Jurie (ICASSP, 2016)

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

RPNet: An End-to-End Network for Relative Camera Pose Estimation. - Sovann En; Alexis Lechervy; Frédéric Jurie (ECCV Workshops (1), 2018)

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

TS-NET: Combining Modality Specific and Common Features for Multimodal Patch Matching. - Sovann En; Alexis Lechervy; Frédéric Jurie (ICIP, 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)

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

Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning. - Valentin Vielzeuf; Alexis Lechervy; Stéphane Pateux; Frédéric Jurie (CoRR, 2019)

Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. - Chinmay Rane; Gaël Dias; Alexis Lechervy; Asif Ekbal (SIGIR, 2021)

Training face verification models from generated face identity data. - Dennis Conway; Loïc Simon; Alexis Lechervy; Frédéric Jurie (CoRR, 2021)

Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations. - Prince Jha; Gaël Dias; Alexis Lechervy; José G. Moreno 001; Anubhav Jangra; Sebastião Pais; Sriparna Saha 001 (ACM Multimedia, 2022)

Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. - Paul Dequidt; Mathieu Seraphim; Alexis Lechervy; Ivan Igor Gaez; Luc Brun; Olivier Etard (AIME, 2023)

Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. - Mathieu Seraphim; Paul Dequidt; Alexis Lechervy; Florian Yger; Luc Brun; Olivier Etard (CAIP (2), 2023)

Multi-Exit Resource-Efficient Neural Architecture for Image Classification with Optimized Fusion Block. - Youva Addad; Alexis Lechervy; Frédéric Jurie (ICCV (Workshops), 2023)

Structure-Preserving Transformers for Sequences of SPD Matrices. - Mathieu Seraphim; Alexis Lechervy; Florian Yger; Luc Brun; Olivier Etard (EUSIPCO, 2024)

Balancing Accuracy and Efficiency in Budget-Aware Early-Exiting Neural Networks. - Youva Addad; Alexis Lechervy; Frédéric Jurie (ICPR (6), 2024)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. - Mathieu Seraphim; Alexis Lechervy; Florian Yger; Luc Brun; Olivier Etard (SN Comput. Sci., 2024)

CHASE: Channel-Wise and Spatial Attention for Early Exiting in Image Classification. - Youva Addad; Alexis Lechervy; Frédéric Jurie (ICASSP, 2025)

A Conflict-Guided Evidential Multimodal Fusion for Semantic Segmentation. - Lucas Deregnaucourt; Hind Laghmara; Alexis Lechervy; Samia Ainouz 001 (WACV, 2025)

Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up. - Loïse Dessoude; Raphaëlle Lemaire; Romain Andres; Thomas Leleu; Alexandre G. Leclercq; Alexis Desmonts; Typhaine Corroller; Amirath Fara Orou-Guidou; Luca Laduree; Loic Le Henaff; Joëlle Lacroix; Alexis Lechervy; et al. (NeuroImage, 2025)