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Martin Engilberge
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Books and Theses
- 2020
- [b1]Martin Engilberge:
Deep Inside Visual-Semantic Embeddings. (Au cœur des espaces de représentation visuelle-sémantique). Sorbonne University, France, 2020
Conference and Workshop Papers
- 2023
- [c8]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CVPR 2023: 3219-3229 - [c7]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations to Reduce the Geometric Shift in Object Detection. CVPR 2023: 17441-17450 - [c6]Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua:
Two-level Data Augmentation for Calibrated Multi-view Detection. WACV 2023: 128-136 - [c5]Martin Engilberge, Weizhe Liu, Pascal Fua:
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. WACV 2023: 1582-1592 - 2019
- [c4]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. CVPR 2019: 10792-10801 - [c3]Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge:
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability. ICCV 2019: 2531-2540 - 2018
- [c2]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. CVPR 2018: 3984-3993 - 2017
- [c1]Martin Engilberge, Edo Collins, Sabine Süsstrunk:
Color representation in deep neural networks. ICIP 2017: 2786-2790
Informal and Other Publications
- 2024
- [i9]Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua:
CLOAF: CoLlisiOn-Aware Human Flow. CoRR abs/2403.09050 (2024) - [i8]Yingxue Yu, Vidit Vidit, Andrey Davydov, Martin Engilberge, Pascal Fua:
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment. CoRR abs/2405.13781 (2024) - 2023
- [i7]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
Learning Transformations To Reduce the Geometric Shift in Object Detection. CoRR abs/2301.05496 (2023) - [i6]Vidit Vidit, Martin Engilberge, Mathieu Salzmann:
CLIP the Gap: A Single Domain Generalization Approach for Object Detection. CoRR abs/2301.05499 (2023) - 2022
- [i5]Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua:
Two-level Data Augmentation for Calibrated Multi-view Detection. CoRR abs/2210.10756 (2022) - [i4]Martin Engilberge, Weizhe Liu, Pascal Fua:
Multi-view Tracking Using Weakly Supervised Human Motion Prediction. CoRR abs/2210.10771 (2022) - 2019
- [i3]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
SoDeep: a Sorting Deep net to learn ranking loss surrogates. CoRR abs/1904.04272 (2019) - 2018
- [i2]Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord:
Finding beans in burgers: Deep semantic-visual embedding with localization. CoRR abs/1804.01720 (2018) - [i1]Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge:
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability. CoRR abs/1812.01973 (2018)
Coauthor Index
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