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cs.CV2026
ABM: Alignment-Aware Bridge Matching for Image-to-Image Translation
Aimi Okabayashi, Georges Le Bellier, Nicolas Audebert +3
Paired image-to-image translation underpins a wide range of computer vision tasks, including image editing, sensor translation, and domain adaptation. Bridge matching and flow matc…
cs.CV2025
Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
Björn Michele, Alexandre Boulch, Gilles Puy +3
Semantic segmentation networks trained under full supervision for one type of lidar fail to generalize to unseen lidars without intervention. To reduce the performance gap under do…
cs.CV2024
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Björn Michele, Alexandre Boulch, Tuan-Hung Vu +3
We tackle the challenging problem of source-free unsupervised domain adaptation (SFUDA) for 3D semantic segmentation. It amounts to performing domain adaptation on an unlabeled tar…