This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Abstract. This paper presents an algorithm for voxel-based reconstruction of objects with general reflectance properties from multiple calibrated views. It is assumed that one or m...
We introduce a convex relaxation framework to optimally
minimize continuous surface ratios. The key idea is to minimize
the continuous surface ratio by solving a sequence
of con...
Kalin Kolev (University of Bonn), Daniel Cremers (...
The problem of determining feature correspondences across multiple views is considered. The term true multi-image" matching is introduced to describe techniques that make ful...
We propose using multi-layer multiple instance learning (MMIL) for image set classification and applying it to the task of cannabis website classification. We treat each image as a...