Bundle adjustment is the common way to solve localization and mapping. I...
Accurately detecting objects in the environment is a key challenge for
a...
Anomaly detection aims at identifying images that deviate significantly ...
Medical imaging analysis plays a critical role in the diagnosis and trea...
Controllable image captioning models generate human-like image descripti...
Archaeology is an intriguing domain for computer vision. It suffers not ...
3D object detection within large 3D scenes is challenging not only due t...
A polygonal mesh is the most-commonly used representation of surfaces in...
Point clouds are gaining prominence as a method for representing 3D shap...
Mesh representation by random walks has been shown to benefit deep learn...
This work focuses on object goal visual navigation, aiming at finding th...
Most attempts to represent 3D shapes for deep learning have focused on
v...
This paper explores the wholly empirical paradigm of visual illusions, w...
This paper proposes a novel approach to performing image-to-image transl...
This paper deals with the prediction of the memorability of a given imag...
Puzzle solving is a difficult problem in its own right, even when the pi...
This paper addresses the problem of viewpoint estimation of an object in...