We present a real-time method for robust estimation of multiple instances of geometric
models from noisy data. Geometric models such as vanishing points, planar homographies …

Humans perceive and construct the world as an arrangement of simple parametric models.
In particular, we can often describe man-made environments using volumetric primitives …

Clustering multiple motions from observed point trajectories is a fundamental task in
understanding dynamic scenes. Most motion models require multiple tracks to estimate their …

We propose a conceptually novel, flexible, and effective framework (named T-Net++) for the
task of two-view correspondence pruning. T-Net++ comprises two unique structures …

This paper presents Slime, a novel non-deep image matching framework which models the
scene as rough local overlapping planes. This intermediate representation sits in-between …

Robust model fitting plays a critical role in artificial intelligence and computer vision, with its
performance primarily depends on the utilization of sampling algorithms. However, existing …