This paper presents a framework that combines traditional keypoint-based...
Learning geometry, motion, and appearance priors of object classes is
im...
This paper proposes a do-it-all neural model of human hands, named LISA....
In the light of recent analyses on privacy-concerning scene revelation f...
Localizing objects and estimating their extent in 3D is an important ste...
Autonomous vehicles operate in highly dynamic environments necessitating...
Low-frequency long-range errors (drift) are an endemic problem in 3D
str...
We tackle the problem of visual localization under changing conditions, ...
We present a novel Structure from Motion pipeline that is capable of
rec...
We present GraphMatch, an approximate yet efficient method for building ...
While RANSAC-based methods are robust to incorrect image correspondences...
We introduce the distributed camera model, a novel model for
Structure-f...