A5085039548- Acupuncture Treatment Research Studies
- Advanced Image and Video Retrieval Techniques
- Pain Management and Placebo Effect
- Complementary and Alternative Medicine Studies
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Biometric Identification and Security
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Face and Expression Recognition
- Meta-analysis and systematic reviews
- Health Systems, Economic Evaluations, Quality of Life
- Embedded Systems Design Techniques
- Musculoskeletal pain and rehabilitation
- Parallel Computing and Optimization Techniques
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Clinical practice guidelines implementation
- Anomaly Detection Techniques and Applications
- Respiratory and Cough-Related Research
- Visual Attention and Saliency Detection
- Frailty in Older Adults
- Physical Activity and Health
- Advanced Neural Network Applications
- Health Policy Implementation Science
Universitat Ramon Llull
2019-2025
Universitat Pompeu Fabra
2023-2025
Mathematica Policy Research
2014
Universitat Autònoma de Barcelona
2009-2013
Centre de Recerca Matemàtica
2007-2010
Computer Vision Center
2007-2010
<b>Objective</b> To assess the effectiveness of an integrated early child development intervention, combining stimulation and micronutrient supplementation delivered on a large scale in Colombia, for children’s development, growth, hemoglobin levels. <b>Design</b> Cluster randomized controlled trial, using 2×2 factorial design, with municipalities assigned to one four groups: psychosocial stimulation, supplementation, combined or control. <b>Setting</b> 96 located across eight its 32...
Although deep face recognition has achieved impressive results in recent years, controversy arisen regarding racial and gender bias of the models, questioning their deployment into sensitive scenarios. This work quantifies for first time demographic imbalance popular public datasets terms identity, ethnicity. We also publicly release DemogPairs, a new validation set with 10.8K facial images 58.3M identity verification pairs, distributed demographically-balanced folds Asian, Black White...
Modern GPUs have evolved into fully programmable parallel stream multiprocessors. Due to the nature of graphic workloads, computer vision algorithms are in good position leverage computing power these devices. An interesting problem that greatly benefits from parallelism is face detection. This paper presents a highly optimized Haar-based detector works real time over high definition videos. The proposed kernel operations exploit both coarse and fine grain for performing integral image...
Background/Objectives: Pediatric cancer patients and their families are increasingly combining conventional treatment with complementary therapies. These therapies not covered by most public healthcare systems, Spain is an exception. To address this need, the Cancer Center Barcelona, at Hospital Sant Joan de Déu (Spain), established first integrative pediatric oncology unit in 2019. The objective of study to describe feasibility implementing a unit, terms acceptance interventions, as well...
With the emergence of GPU computing, deep neural networks have become a widely used technique for advancing research in field image and speech processing. In context object event detection, sliding-window classifiers require to choose best among all positively discriminated candidate windows. this paper, we introduce first GPU-based non-maximum suppression (NMS) algorithm embedded architectures. The obtained results show that proposed parallel reduces NMS latency by wide margin when compared...
People and objects will soon share the same digital network for information exchange in a world named as age of cyber-physical systems. The general expectation is that people systems interact real-time. This poses pressure onto design to support increasing demands on computational power, while keeping low power envelop. Additionally, modular scaling easy programmability are also important ensure these become widespread. whole set expectations impose scientific technological challenges need...
The AXIOM project (Agile, eXtensible, fast I/O Module) aims at researching new software/hardware architectures for the future Cyber-Physical Systems (CPSs). These systems are expected to react in real-time, provide enough computational power assigned tasks, consume least possible energy such task (energy efficiency), scale up through modularity, allow an easy programmability across performance scaling, and exploit best existing standards minimal costs.
People and objects will soon share the same digital network for information exchange in a world named as age of cyber-physical systems. The general expectation is that people systems interact real-time. This poses pressure onto design to support increasing demands on computational power, while keeping low power envelop. Additionally, modular scaling easy programmability are also important ensure these become widespread. whole set expectations impose scientific technological challenges need...