Results 31 to 40 of about 157,215 (257)

Deep Hierarchical Network With Line Segment Learning for Quantitative Analysis of Facial Palsy

open access: yesIEEE Access, 2019
We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in the loss of muscle control in the affected facial
Gee-Sern Jison Hsu   +2 more
doaj   +1 more source

Cross-Media Alignment of Names and Faces [PDF]

open access: yesIEEE Transactions on Multimedia, 2010
In this paper we report on our experiments on aligning names and faces as found in images and captions of online news Websites. Developing accurate technologies for linking names and faces is valuable when retrieving or mining information from multimedia collections.
Pham, Phi The   +2 more
openaire   +2 more sources

Face Alignment via Multi-Regressors Collaborative Optimization

open access: yesIEEE Access, 2019
Face alignment is a fundamental step in facial image analysis. To solve the non-convex optimization problem, most cascade-based regression approaches conventionally utilize a single regressor to cover the entire optimization space.
Caifeng Liu   +3 more
doaj   +1 more source

Deep Regression for Face Alignment

open access: yesCoRR, 2014
In this paper, we present a deep regression approach for face alignment. The deep architecture consists of a global layer and multi-stage local layers. We apply the back-propagation algorithm with the dropout strategy to jointly optimize the regression parameters. We show that the resulting deep regressor gradually and evenly approaches the true facial
Baoguang Shi   +3 more
openaire   +2 more sources

Robust and efficient parametric face alignment [PDF]

open access: yes2011 International Conference on Computer Vision, 2011
We propose a correlation-based approach to parametric object alignment particularly suitable for face analysis applications which require efficiency and robustness against occlusions and illumination changes. Our algorithm registers two images by iteratively maximizing their correlation coefficient using gradient ascent.
Pantic, Maja   +2 more
openaire   +3 more sources

Thermal-to-Visible Face Alignment on Edge Map

open access: yesIEEE Access, 2017
This paper presents a novel thermal-to-visible face alignment method based on edge map. The alignment procedure is inspired by iterative closest points matching.
Lin Sun, Zengwei Zheng
doaj   +1 more source

Cross Task Modality Alignment Network for Sketch Face Recognition

open access: yesFrontiers in Neurorobotics, 2022
The task of sketch face recognition refers to matching cross-modality facial images from sketch to photo, which is widely applied in the criminal investigation area.
Yanan Guo   +5 more
doaj   +1 more source

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

A CPU Real-Time Face Alignment for Mobile Platform

open access: yesIEEE Access, 2020
Face alignment is a common technology in face recognition and face verification field. Previous works mostly pay attention to improving the accuracy of prediction and ignored the practicability of the method.
Xin Ning   +4 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho   +7 more
wiley   +1 more source

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