| 2024 | CVPR | CLOAF: CoLlisiOn-Aware Human Flow. | Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua |
| 2023 | CVPR | CLIP the Gap: A Single Domain Generalization Approach for Object Detection. | Vidit Vidit, Martin Engilberge, Mathieu Salzmann |
| 2023 | CVPR | Learning Transformations to Reduce the Geometric Shift in Object Detection. | Vidit Vidit, Martin Engilberge, Mathieu Salzmann |
| 2023 | WACV | Multi-view Tracking Using Weakly Supervised Human Motion Prediction. | Martin Engilberge, Weizhe Liu, Pascal Fua |
| 2023 | WACV | Two-level Data Augmentation for Calibrated Multi-view Detection. | Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua |
| 2019 | CVPR | SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. | Martin Engilberge, Louis Chevallier, Patrick Prez, Matthieu Cord |
| 2019 | ICCV | VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability. | Romain Cohendet, Claire-Hlne Demarty, Ngoc Q. K. Duong, Martin Engilberge |
| 2018 | CVPR | Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. | Martin Engilberge, Louis Chevallier, Patrick Prez, Matthieu Cord |
| 2017 | ICIP | Color representation in deep neural networks. | Martin Engilberge, Edo Collins, Sabine Ssstrunk |