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Patrick Bouthemy

3 accepted papers

2023

Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions

CVPR 2023highlight

Motion segmentation is one of the main tasks in computer vision and is relevant for many applications. The optical flow (OF) is the input generally used to segment every frame of a video sequence into regions of coherent motion. Temporal consistency is a key feature of motion segmentation, but it is…

2017

Multi-scale spot segmentation with selection of image scales

ICASSP 2017accepted

Detecting spot-like objects of different sizes in images is needed in many applications. Multiple image scales must then be handled for reliable spot segmentation. We define an original criterion based on the a contrario approach and the LoG scale-space framework to automatically select the meaningf…

Cited by 0SourceScholar
2016

Determining Occlusions From Space and Time Image Reconstructions

CVPR 2016poster

The problem of localizing occlusions between consecutive frames of a video is important but rarely tackled on its own. In most works, it is tightly interleaved with the computation of accurate optical flows, which leads to a delicate chicken-and-egg problem. With this in mind, we propose a novel app…

Cited by 13PDFScholar