A truly generalizable approach to rigid segmentation and motion estimation is fundamental to 3D understanding of articulated objects and moving scenes.

The problem of extracting auseful interpretation from an image may be simplified byimagesegmentation, i.e., by partitioning such image into regions associated to separate objects.

Given a query text, the similarity is determined bythemost similar prototype tofind correspondence inthevideo, which is termed text-adaptive matching.

Multi-scene absolute pose regression addresses the demand for fast and memory-efficient camera pose estimation across various real-world environments.

In image retrieval, standard evaluation metrics rely on score ranking, e.g.

Methods for social gaze prediction in the literature adopt one of two approaches.