This paper reviews the AIM 2020 challenge on efficient single image super-resolution with
focus on the proposed solutions and results. The challenge task was to super-resolve an …

Background Endovascular techniques for treatment of large vessel occlusions (LVO) in patients
with acute ischemic stroke (AIS) have advanced in recent years. We report a multicenter …

Background: Increasing evidence suggests improved time metrics leading to better clinical
outcomes when stroke patients with suspected large vessel occlusion (LVO) are transferred …

In this paper we propose a deep learning approach for segmenting sub-cortical structures of
the human brain in Magnetic Resonance (MR) image data. We draw inspiration from a state-…

Guanidinium groups present in peptides and dendritic polymers induce their efficient transport
through liposomal and cell membranes. Transmembrane crossing of these polymers is …

The study of hand-object interaction requires generating viable grasp poses for high-dimensional
multi-finger models, often relying on analytic grasp synthesis which tends to produce …

Background and Purpose— Intrahospital time delays significantly affect the neurological
outcome of stroke patients with large-vessel occlusion. This study was conducted to determine …

In this work we propose a learning-based approach to symmetry detection in natural images.
We focus on ribbon-like structures, ie contours marking local and approximate reflection …

We study the problem of understanding objects in detail, intended as recognizing a wide
array of fine-grained object attributes. To this end, we introduce a dataset of 7,413 airplanes …

We report the synthesis of controlled sized Urea-Formaldehyde (UF) microcapsules
containing an epoxy healing agent via in situ emulsification polymerization for the study of self-…