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ORCIDAlexis Lechervy
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2020 – today
- 2024
[j2]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. SN Comput. Sci. 5(7): 953 (2024)- 2023
- [c16]Paul Dequidt
, Mathieu Seraphim, Alexis Lechervy, Ivan Igor Gaez, Luc Brun, Olivier Etard:
Automatic Sleep Stage Classification on EEG Signals Using Time-Frequency Representation. AIME 2023: 250-259 - [c15]Mathieu Seraphim, Paul Dequidt, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. CAIP (2) 2023: 67-76 - [c14]Youva Addad, Alexis Lechervy, Frédéric Jurie:
Multi-Exit Resource-Efficient Neural Architecture for Image Classification with Optimized Fusion Block. ICCV (Workshops) 2023: 1478-1483 - [i9]Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Structure-Preserving Transformers for Sequences of SPD Matrices. CoRR abs/2309.07579 (2023) - 2022
- [c13]Prince Jha, Gaël Dias, Alexis Lechervy, José G. Moreno, Anubhav Jangra, Sebastião Pais, Sriparna Saha:
Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations. ACM Multimedia 2022: 4406-4415 - 2021
- [c12]Chinmay Rane, Gaël Dias, Alexis Lechervy, Asif Ekbal:
Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. SIGIR 2021: 2197-2201 - [i8]Dennis Conway, Loïc Simon, Alexis Lechervy, Frédéric Jurie:
Training face verification models from generated face identity data. CoRR abs/2108.00800 (2021)
2010 – 2019
- 2019
- [i7]Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning. CoRR abs/1911.03222 (2019) - 2018
- [c11]Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
CAKE: a Compact and Accurate K-dimensional representation of Emotion. BMVC 2018: 316 - [c10]Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
CentralNet: A Multilayer Approach for Multimodal Fusion. ECCV Workshops (6) 2018: 575-589 - [c9]Sovann En, Alexis Lechervy, Frédéric Jurie:
RPNet: An End-to-End Network for Relative Camera Pose Estimation. ECCV Workshops (1) 2018: 738-745 - [c8]Sovann En, Alexis Lechervy, Frédéric Jurie:
TS-NET: Combining Modality Specific and Common Features for Multimodal Patch Matching. ICIP 2018: 3024-3028 - [c7]Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets. ICMI 2018: 589-593 - [i6]Sovann En, Alexis Lechervy, Frédéric Jurie:
TS-Net: Combining modality specific and common features for multimodal patch matching. CoRR abs/1806.01550 (2018) - [i5]Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
CAKE: Compact and Accurate K-dimensional representation of Emotion. CoRR abs/1807.11215 (2018) - [i4]Valentin Vielzeuf, Corentin Kervadec, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets. CoRR abs/1808.02668 (2018) - [i3]Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
CentralNet: a Multilayer Approach for Multimodal Fusion. CoRR abs/1808.07275 (2018) - [i2]Sovann En, Alexis Lechervy, Frédéric Jurie:
RPNet: an End-to-End Network for Relative Camera Pose Estimation. CoRR abs/1809.08402 (2018) - [i1]Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux, Frédéric Jurie:
Multi-Level Sensor Fusion with Deep Learning. CoRR abs/1811.02447 (2018) - 2016
- [c6]Romain Negrel, Alexis Lechervy, Frédéric Jurie:
MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval. BMVC 2016 - [c5]Binod Bhattarai, Gaurav Sharma, Alexis Lechervy, Frédéric Jurie:
A joint learning approach for cross domain age estimation. ICASSP 2016: 1901-1905 - 2015
- [c4]Romain Negrel, Alexis Lechervy, Frédéric Jurie:
Boosted Metric Learning for Efficient Identity-Based Face Retrieval. BMVC 2015: 139.1-139.12 - 2014
- [j1]Alexis Lechervy, Philippe Henri Gosselin, Frédéric Precioso:
Boosted kernel for image categorization. Multim. Tools Appl. 69(2): 471-490 (2014) - 2012
- [c3]Alexis Lechervy, Philippe Henri Gosselin, Frédéric Precioso:
Linear kernel combination using boosting. ESANN 2012 - [c2]Alexis Lechervy, Philippe Henri Gosselin, Frédéric Precioso:
Boosting kernel combination for multi-class image categorization. ICIP 2012: 1893-1896 - 2010
- [c1]Alexis Lechervy, Philippe Henri Gosselin, Frédéric Precioso:
Active Boosting for Interactive Object Retrieval. ICPR 2010: 3268-3271
Coauthor Index
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