This paper aims to tackle Multiple Object Tracking (MOT), an important
p...
With current trends in sensors (cheaper, more volume of data) and
applic...
We propose a new algorithm for training deep neural networks (DNNs) with...
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer...
Robust model fitting is a core algorithm in a large number of computer v...
Robust parameter estimation is a crucial task in several 3D computer vis...
Non-linear least squares solvers are used across a broad range of offlin...
Due to the highly non-convex nature of large-scale robust parameter
esti...
Optimization problems with an auxiliary latent variable structure in add...
Visual localization algorithms have achieved significant improvements in...
Representing images by compact hash codes is an attractive approach for
...
This paper presents a novel randomized algorithm for robust point cloud
...
Visual localization has become a key enabling component of many place
re...
K-Means clustering still plays an important role in many computer vision...
Robotic and animal mapping systems share many of the same objectives and...
Consensus maximization is one of the most widely used robust fitting
par...
Maximum consensus estimation plays a critically important role in robust...