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SOLD2 : Self-supervised occlusion-aware line description and detection

Compared to feature point detection and description, detecting and matching line segments offer additional challenges. Yet, line features represent a promising complement to points for multi-view tasks. Lines are indeed well-defined by the image gradient, frequently appear even in poorly textured areas and offer robust structural cues. We thus hereby introduce the first joint detection and descrip

Cerebrospinal fluid biomarkers of white matter injury and astrogliosis are associated with the severity and surgical outcome of degenerative cervical spondylotic myelopathy

BACKGROUND CONTEXT: Degenerative cervical spondylotic myelopathy (DCM) is the commonest form of spinal cord injury in adults. However, a limited number of clinical reports have assessed the role of biomarkers in DCM. PURPOSE: We evaluated cerebrospinal fluid (CSF) biomarkers in patients scheduled for DCM surgery and hypothesized that CSF biomarkers levels (1) would reflect the severity of preopera

Privacy preserving localization and mapping from uncalibrated cameras

Recent works on localization and mapping from privacy preserving line features have made significant progress towards addressing the privacy concerns arising from cloud-based solutions in mixed reality and robotics. The requirement for calibrated cameras is a fundamental limitation for these approaches, which prevents their application in many crowd-sourced mapping scenarios. In this paper, we pro

Pixel-Perfect Structure-from-Motion with Featuremetric Refinement

Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and propagate large errors to the final geometry. In this paper, we refine two key steps of structure-from-motion by a direct alignment of low-level image informat

Spatial genetic structure in the Madeiran endemic Dactylorhiza foliosa (Orchidaceae)

Oceanic islands have isolated biota, which typically include many endemic species. However, island endemics are vulnerable due to small population sizes, and they are often threatened by habitat destruction or by introduced pests and predators. Adequate conservation planning requires good information on genetic variability and population structure, also when seemingly viable species are considered

Image Stitching with Locally Shared Rotation Axis

We consider the problem of stitching image sequences with cameras undergoing pure rotational motion. We leverage the assumption of a locally constant rotation axis, i.e., neighboring frames have a shared but unknown rotation axis. This assumption holds in many common image capturing scenarios, e.g., panoramic sweeping motions. Using this additional constraint, we develop techniques for three-view

Machine Learning based Approach for the Prediction of Surface Integrity in Machining

This paper presents a two-stage procedure to create a surface integrity predictor. The first stage includes data clustering, which allows to evaluate the achievable surface quality. The second stage consists in training the model to predict which cluster the machined surface will belong to. To demonstrate the applicability, an experimental plan for machining of Inconel 718 in milling was developed

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Nevertheless, existing methods produce over- smoothed scene reconstructions and have difficulty scaling up to large scenes. These limitations are mainly due to their simple fully-connected network architecture that does not incorp

Camera Pose Estimation Using Implicit Distortion Models

Low-dimensional parametric models are the de-facto standard in computer vision for intrinsic camera calibration. These models explicitly describe the mapping between incoming viewing rays and image pixels. In this paper, we explore an alternative approach which implicitly models the lens distortion. The main idea is to replace the parametric model with a regularization term that ensures the latent

Dansa i Odessa

Translation of the poem "Dancing in Odessa" by Ukrainian-American poet Ilya Kaminsky (b. 1977)Translation of the poem "Dancing in Odessa" by Ukrainian-American poet Ilya Kaminsky (b. 1977)

Supply chain visibility : A Delphi study on managerial perspectives and priorities

Visibility across supply chains has been a key concern for organisations for many years, but the tools and information systems to achieve real-time visibility have not been available until recently. In response to uncertainty and complexity, advanced information and communication technologies have been explored for supply chain visibility (SCV). However, managerial perspectives are largely absent

MIS 3 age of the Veiki moraine in N Sweden–Dating the landform record of an intermediate-sized ice sheet in Scandinavia

The Veiki moraine in northern Sweden, a geomorphologically distinct landscape of ice-walled lake plains, has been interpreted to represent the former margin of an intermediate-sized pre–Last Glacial Maximum (LGM) Fennoscandian ice sheet, but its age is debated as either marine isotope stage (MIS) 5c or MIS 3. We have applied optically stimulated luminescence (OSL) and radiocarbon dating to four si

Variable Impedance Skill Learning for Contact-Rich Manipulation

Contact-rich manipulation tasks remain a hard problem in robotics that requires interaction with unstructured environments. Reinforcement Learning (RL) is one potential solution to such problems, as it has been successfully demonstrated on complex continuous control tasks. Nevertheless, current state-of-the-art methods require policy training in simulation to prevent undesired behavior and later d

Childhood tuberous sclerosis complex in southern Sweden: A paradigm shift in diagnosis and treatment.

AimTo investigate the complete clinical spectrum of individuals with paediatric tuberous sclerosis complex in southern Sweden and explore changes over time.MethodsIn this retrospective observational study, 52 individuals aged up to 18 years at the study start were followed-up at regional hospitals and centres for habilitation from 2000 to 2020.ResultsCardiac rhabdomyoma was detected prenatally/neo

An Application Specific Vector Processor for Efficient Massive MIMO Processing

This paper presents an implementation for a baseband massive multiple-input multiple-output (MIMO) application-specific instruction set processor (ASIP). The ASIP is geared with vector processing capabilities in the form of single instruction multiple data (SIMD), and furthermore exploits instruction level parallelism by employing a very large instruction word (VLIW) architecture. Additionally, a

Is ceasing self-injury enough? Differences in psychological health between people reporting behavioral cessation of non-suicidal self-injury and those who consider themselves to have stopped self-injuring

Objective: This study examined the overlap between considering oneself to have stopped nonsuicidal self-injury (NSSI) and the actual cessation of the behavior in terms of days self-injured in the last month and last year, and how these operationalizations are associated with constructs related to NSSI recovery. Methods: A cross-sectional survey including measures of coping, emotion dysregulation,

Genome Editing Using Cas9-gRNA Ribonucleoprotein in Human Pluripotent Stem Cells for Disease Modeling

The discovery that the CRISPR/Cas9 system could be used for genome editing purposes represented a major breakthrough in the field. This advancement has notably facilitated the introduction or correction of disease-specific mutations in healthy or disease stem cell lines respectively; therefore, easing disease modeling studies in combination with differentiation protocols. For many years, variabili

The archipelago of meaning : Methodological contributions to the study of Vanuatu sand drawing

Vanuatu sand drawing has been listed by UNESCO since 2006 and has both fascinated and puzzled researchers from various disciplines for over a century. The inherent multi-dimensionality of the practice makes analysis complex, and until very recently developing a systematic methodology to study this intangible art form was difficult. This paper aims to contribute to filling this gap with the analysi