Color representation in deep neural networks. - Martin Engilberge; Edo Collins; Sabine Süsstrunk (ICIP, 2017)

Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization. - Martin Engilberge; Louis Chevallier; Patrick Pérez; Matthieu Cord (CVPR, 2018)

SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates. - Martin Engilberge; Louis Chevallier; Patrick Pérez; Matthieu Cord (CVPR, 2019)

VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability. - Romain Cohendet; Claire-Hélène Demarty; Ngoc Q. K. Duong; Martin Engilberge (ICCV, 2019)

Deep Inside Visual-Semantic Embeddings. (Au cœur des espaces de représentation visuelle-sémantique). - Martin Engilberge (2020)

CLIP the Gap: A Single Domain Generalization Approach for Object Detection. - Vidit Vidit; Martin Engilberge; Mathieu Salzmann (CVPR, 2023)

Learning Transformations to Reduce the Geometric Shift in Object Detection. - Vidit Vidit; Martin Engilberge; Mathieu Salzmann (CVPR, 2023)

Multi-view Tracking Using Weakly Supervised Human Motion Prediction. - Martin Engilberge; Weizhe Liu; Pascal Fua (WACV, 2023)

Two-level Data Augmentation for Calibrated Multi-view Detection. - Martin Engilberge; Haixin Shi; Zhiye Wang; Pascal Fua (WACV, 2023)

CLOAF: CoLlisiOn-Aware Human Flow. - Andrey Davydov; Martin Engilberge; Mathieu Salzmann; Pascal Fua (CVPR, 2024)

Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment. - Yingxue Yu; Vidit Vidit; Andrey Davydov; Martin Engilberge; Pascal Fua (CoRR, 2024)

No Identity, no problem: Motion through detection for people tracking. - Martin Engilberge; Friedrich Wilke Grosche; Pascal Fua (Trans. Mach. Learn. Res., 2024)

Unified People Tracking with Graph Neural Networks. - Martin Engilberge; Ivan Vrkic; Friedrich Wilke Grosche; Julien Pilet; Engin Türetken; Pascal Fua (CoRR, 2025)