Ego4D: Around the World in 3,000 Hours of Egocentric Video.

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor, workplace, leisure, etc.) captured by 931 unique camera wearers from 74 worldwide locations and 9 different countries.

New-onset headache following COVID-19: An Italian multicentre case series.

Objective: To describe the characteristics of patients with new-onset headache following SARS-CoV-2 infection.

Background: SARS-CoV-2 infection leads to several neurological manifestations, and headache is a frequent and disabling symptom, both exacerbating pre-existing headache syndromes and causing new-onset ones.

Methods: Patients with new-onset headache after SARS-CoV-2 infection with consent to participate were included, while those ones with previous headaches were excluded.

Visual Object Tracking in First Person Vision.

Unlabelled: The understanding of human-object interactions is fundamental in First Person Vision (FPV). Visual tracking algorithms which follow the objects manipulated by the camera wearer can provide useful information to effectively model such interactions. In the last years, the computer vision community has significantly improved the performance of tracking algorithms for a large variety of target objects and scenarios.

Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video.

In this paper, we tackle the problem of egocentric action anticipation, i.e., predicting what actions the camera wearer will perform in the near future and which objects they will interact with.

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines.

Since its introduction in 2018, EPIC-KITCHENS has attracted attention as the largest egocentric video benchmark, offering a unique viewpoint on people's interaction with objects, their attention, and even intention. In this paper, we detail how this large-scale dataset was captured by 32 participants in their native kitchen environments, and densely annotated with actions and object interactions. Our videos depict nonscripted daily activities, as recording is started every time a participant entered their kitchen.

Affine Covariant Features for Fisheye Distortion Local Modeling.

Perspective cameras are the most popular imaging sensors used in computer vision. However, many application fields, including automotive, surveillance, and robotics, require the use of wide angle cameras (e.g.

Retrieval and classification of food images.

Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision.

Patient-specific finite element estimated femur strength as a predictor of the risk of hip fracture: the effect of methodological determinants.

Unlabelled: A finite element modelling pipeline was adopted to predict femur strength in a retrospective cohort of 100 women. The effects of the imaging protocol and the meshing technique on the ability of the femur strength to classify the fracture and the control groups were analysed.

Introduction: The clinical standard to estimate the risk of osteoporotic hip fracture is based on the areal bone mineral density (aBMD).

Saliency-based selection of gradient vector flow paths for content aware image resizing.

Content-aware image resizing techniques allow to take into account the visual content of images during the resizing process. The basic idea beyond these algorithms is the removal of vertical and/or horizontal paths of pixels (i.e.

Forgery detection and value identification of Euro banknotes.

This paper describes both hardware and software components to detect counterfeits of Euro banknotes. The proposed system is also able to recognize the banknote values. Differently than other state-of-the-art methods, the proposed approach makes use of banknote images acquired with a near infrared camera to perform recognition and authentication.

Muscle discretization affects the loading transferred to bones in lower-limb musculoskeletal models.

Modelling the mechanical effect of muscles is important in several research and clinical contexts. However, few studies have investigated the effect of different muscle discretizations from a mechanical standpoint. The present study evaluated the errors of a reduced discretization of the lower-limb muscles in reproducing the muscle loading transferred to bones.

Objective estimation of body condition score by modeling cow body shape from digital images.

Body condition score (BCS) is considered an important tool for management of dairy cattle. The feasibility of estimating the BCS from digital images has been demonstrated in recent work. Regression machines have been successfully employed for automatic BCS estimation, taking into account information of the overall shape or information extracted on anatomical points of the shape.

Structural Simulation of a Bone-Prosthesis System of the Knee Joint.

In surgical knee replacement, the damaged knee joint is replaced with artificial prostheses. An accurate clinical evaluation must be carried out before applying knee prostheses to ensure optimal outcome from surgical operations and to reduce the probability of having long-term problems. Useful information can be inferred from estimates of the stress acting onto the bone-prosthesis system of the knee joint.

Experimental methodology for digital breast shape analysis and objective surgical outcome evaluation.

Outcome evaluation in cosmetic and reconstructive surgery of the breast is commonly performed visually or employing bi-dimensional photography. The reconstructive process in the era of anatomical implants requires excellent survey capabilities that mainly rely on surgeon experience. In this paper we present a set of parameters to unambiguously estimate the shape of natural and reconstructed breast.

Objective outcome evaluation of breast surgery.

A new method is proposed to unambiguously define a geometric partitioning of 3D models of female thorax. A breast partitioning scheme is derived from simple geometric primitives and well-defined anatomical points. Relevant measurements can be extrapolated from breast partition.

Infection control strategies in a neonatal intensive care unit in Argentina.

An intervention strategy was designed to reduce the high endemic rates of nosocomial bacteraemia in a neonatal intensive care unit (NICU) in Argentina where no changes can be expected in the ratio of patients to nurses. After surveillance of high-risk procedures, guidelines were developed by physician and nurse consensus, based on CDC guidelines and adapted to actual circumstances for handwashing, handling of infants, care of intravenous lines and suction of endotracheal tubes. These guidelines were taught to all involved personnel and made effective on July 1, 1995.