The unprecedented performance of large language models (LLMs) necessitat...
Existing calibration methods occasionally fail for large field-of-view
c...
The gradient-weighted class activation mapping (Grad-CAM) method can
fai...
We present an online SLAM system specifically designed to track pan-tilt...
Calibrating sports cameras is important for autonomous broadcasting and
...
This work addresses camera selection, the task of predicting which camer...
Calibrating narrow field of view soccer cameras is challenging because t...
Camera relocalization plays a vital role in many robotics and computer v...
Vision based player detection is important in sports applications. Accur...
We propose the convex factorization machine (CFM), which is a convex var...
We consider stochastic strongly convex optimization with a complex inequ...
We study the problem of estimating multiple predictive functions from a
...