Unsupervised computation of salient motion maps from the interpretation of a frame-based classification network. - Etienne Meunier; Patrick Bouthemy (BMVC, 2021)

Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions. - Etienne Meunier; Patrick Bouthemy (CVPR, 2023)

Unsupervised motion segmentation in one go: Smooth long-term model over a video. - Etienne Meunier; Patrick Bouthemy (CoRR, 2023)

Unsupervised learning for motion segmentation and motion saliency in videos. (Apprentissage non supervisé pour la segmentation et la saillance du mouvement dans des vidéos). - Etienne Meunier (2023)

EM-Driven Unsupervised Learning for Efficient Motion Segmentation. - Etienne Meunier; Anaïs Badoual; Patrick Bouthemy (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ADA-SHARK: A Shark Detection Framework Employing Underwater Cameras and Domain Adversarial Neural Nets. - Marvin Martin; Etienne Meunier; Pierre Moreau; Jean Gadenne; Julien Dautel; Félicien Catherin; Eugene Pinsky; Reza Rawassizadeh (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Efficient local correlation volume for unsupervised optical flow estimation on small moving objects in large satellite images. - Sarra Khairi; Etienne Meunier; Renaud Fraisse; Patrick Bouthemy (CVPR Workshops, 2024)

Learning to generate physical ocean states: Towards hybrid climate modeling. - Etienne Meunier; David Kamm; Guillaume Gachon; Redouane Lguensat; Julie Deshayes (CoRR, 2025)