A5063708882- Islamic Studies and History
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Politics and Conflicts in Afghanistan, Pakistan, and Middle East
- South Asian Studies and Conflicts
- Education and Islamic Studies
- Estrogen and related hormone effects
- Asian Studies and History
- Bone health and osteoporosis research
- Asian Geopolitics and Ethnography
- Islamic Finance and Banking Studies
- Advanced Optical Sensing Technologies
- Advanced Image Processing Techniques
- Video Surveillance and Tracking Methods
- Gait Recognition and Analysis
- Anomaly Detection Techniques and Applications
- Bone health and treatments
- Bioinformatics and Genomic Networks
- Indian History and Philosophy
- Eurasian Exchange Networks
- Global Maritime and Colonial Histories
- Human Motion and Animation
- Hand Gesture Recognition Systems
- Menopause: Health Impacts and Treatments
- Bangladesh Politics, Society, and Development
University of Southampton
2022-2024
University of Kentucky
2012-2023
Lancaster University
2021
Hôpital Raymond-Poincaré
2018
Murdoch Children's Research Institute
2012
Freie Universität Berlin
2001
Innovation Plasturgie Composites
1997
Procter & Gamble (France)
1996
Université Toulouse III - Paul Sabatier
1986
PURPOSE To determine the effectiveness and safety of bisphosphonate risedronate in preventing bone loss young women with breast cancer early menopause induced by chemotherapy who are at major risk for development postmenopausal osteoporosis. PATIENTS AND METHODS Fifty-three white women, aged 36 to 55 years, artificially were stratified according prior tamoxifen use. Thirty-six patients received (20 mg/d). Within each stratum, randomly assigned receive (n = 27) or placebo 26). Treatment...
Abstract The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges diagnosing Alzheimer’s Disease (AD). No single marker has been proven accurately categorize patients into their respective groups. Thus, previous studies have attempted develop fused predictors AD and MCI. These two main limitations. Most do not simultaneously consider all categories provide suboptimal representations using same set modalities for prediction classes. In this work, we...
We present LInKs, a novel unsupervised learning method to recover 3D human poses from 2D kinematic skeletons obtained single image, even when occlusions are present. Our approach follows unique two-step process, which involves first lifting the occluded pose domain, followed by filling in parts using partially reconstructed coordinates. This lift-then-fill leads significantly more accurate results compared models that complete space alone. Additionally, we improve stability and likelihood...
A rapid, highly sensitive method for the determination of morphine and its metabolites morphine-3-glucuronide (M3G), morphine-6-glucuronide (M6G) normorphine has been developed using high-performance liquid chromatography–electrospray mass spectrometry, with deuterated analogues as internal standards. The analytes were extracted automatically end-capped C2 solid-phase extraction cartridges. Baseline separation morphine, M3G M6G was achieved on a LiChrospher 100 RP-18 analytical column (125×3...
Current human pose estimation systems focus on retrieving an accurate 3D global estimate of a single person. Therefore, this paper presents one the first multi-person that is able to work in real-time and also handle basic forms occlusion. First, we adjust off-the-shelf 2D detector unsupervised 2D-3D lifting model for use with 360$^\circ$ panoramic camera mmWave radar sensors. We then introduce several contributions, including calibrations, improved matching people within image space. The...
Current human pose estimation systems focus on retrieving an accurate 3D global estimate of a single person. Therefore, this paper presents one the first multi-person that is able to work in real-time and also handle basic forms occlusion. First, we adjust off-the-shelf 2D detector unsupervised 2D-3D lifting model for use with 360° panoramic camera mm Wave radar sensors. We then introduce several contributions, including calibrations, improved matching people within image space. The system...
The results obtained from state of the art human pose estimation (HPE) models degrade rapidly when evaluating people a low resolution, but can super resolution (SR) be used to help mitigate this effect? By using various SR approaches we enhanced two datasets and evaluated change in performance both an object keypoint detector as well end-to-end HPE results. We remark following observations. First find that for who were originally depicted at (segmentation area pixels), their detection would...
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We present LInKs, a novel unsupervised learning method to recover 3D human poses from 2D kinematic skeletons obtained single image, even when occlusions are present. Our approach follows unique two-step process, which involves first lifting the occluded pose domain, followed by filling in parts using partially reconstructed coordinates. This lift-then-fill leads significantly more accurate results compared models that complete space alone. Additionally, we improve stability and likelihood...
Current unsupervised 2D-3D human pose estimation (HPE) methods do not work in multi-person scenarios due to perspective ambiguity monocular images. Therefore, we present one of the first studies investigating feasibility HPE from just 2D poses alone, focusing on reconstructing interactions. To address issue ambiguity, expand upon prior by predicting cameras' elevation angle relative subjects' pelvis. This allows us rotate predicted be level with ground plane, while obtaining an estimate for...
This paper investigated pose representation within the field of unsupervised 2D-3D human estimation (HPE). All current HPE approaches provide entire 2D kinematic skeleton to a model during training. We argue that this is sub-optimal and disruptive as long-range correlations will be induced between independent key points predicted 3D coordinates To end, we conducted following study. With maximum architecture capacity 6 residual blocks, evaluated performance 7 models which each represented...
An abstract is not available for this content so a preview has been provided. Please use the Get access link above information on how to content.