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CLIP the Gap: A Single Domain Generalization Approach for Object Detection


Jan 13, 2023
Vidit Vidit, Martin Engilberge, Mathieu Salzmann

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Learning Transformations To Reduce the Geometric Shift in Object Detection


Jan 13, 2023
Vidit Vidit, Martin Engilberge, Mathieu Salzmann

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Multi-view Tracking Using Weakly Supervised Human Motion Prediction


Oct 19, 2022
Martin Engilberge, Weizhe Liu, Pascal Fua

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* Accepted at WACV 2023 

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Two-level Data Augmentation for Calibrated Multi-view Detection


Oct 19, 2022
Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua

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* Accepted at WACV 2023 

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SoDeep: a Sorting Deep net to learn ranking loss surrogates


Apr 08, 2019
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

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* Accepted to CVPR 2019 

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VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability


Dec 05, 2018
Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge

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Finding beans in burgers: Deep semantic-visual embedding with localization


Apr 06, 2018
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord

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* Accepted to CVPR2018 

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