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Martin Engilberge
Martin Engilberge
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Cited by
Cited by
Year
Finding beans in burgers: Deep semantic-visual embedding with localization
M Engilberge, L Chevallier, P Pérez, M Cord
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1182018
Sodeep: a sorting deep net to learn ranking loss surrogates
M Engilberge, L Chevallier, P Pérez, M Cord
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
722019
VideoMem: Constructing, analyzing, predicting short-term and long-term video memorability
R Cohendet, CH Demarty, NQK Duong, M Engilberge
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
512019
Color representation in deep neural networks
M Engilberge, E Collins, S Süsstrunk
2017 IEEE International Conference on Image Processing (ICIP), 2786-2790, 2017
312017
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
V Vidit, M Engilberge, M Salzmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
142023
Multi-view tracking using weakly supervised human motion prediction
M Engilberge, W Liu, P Fua
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
42023
Two-level Data Augmentation for Calibrated Multi-view Detection
M Engilberge, H Shi, Z Wang, P Fua
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
32023
Deep semantic-visual embedding with localization
M Engilberge, L Chevallier, P Pérez, M Cord
RFIAP 2018-Congrčs Reconnaissance des Formes, Image, Apprentissage et Perception, 2018
32018
Learning Transformations To Reduce the Geometric Shift in Object Detection
V Vidit, M Engilberge, M Salzmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
Deep Inside Visual-Semantic Embeddings
M Engilberge
Sorbonne université, 2020
2020
Supplementary Material: Multi-view Tracking Using Weakly Supervised Human Motion Prediction
M Engilberge, W Liu, P Fua
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability Supplementary Material
R Cohendet, NQK Duong, M Engilberge
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