Papers Age Estimation
“Age Estimation” 태그가 달린 논문 301편 · 필터 해제
Balanced Sharpness-Aware Minimization for Imbalanced Regression
Regression is fundamental in computer vision and is widely used in various tasks including age estimation, depth estimation, target localization, \etc However, real-world data often exhibits imbalanced distribution, maki…
Depth EstimationAge EstimationAutomated Assessment of Aesthetic Outcomes in Facial Plastic Surgery
We introduce a scalable, interpretable computer-vision framework for quantifying aesthetic outcomes of facial plastic surgery using frontal photographs. Our pipeline leverages automated landmark detection, geometric faci…
Age EstimationBrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
Functional Magnetic Resonance Imaging (fMRI) is an imaging technique widely used to study human brain activity. fMRI signals in areas across the brain transiently synchronise and desynchronise their activity in a highly …
Link PredictionAge EstimationDeeply Supervised Multi-Task Autoencoder for Biological Brain Age estimation using three dimensional T$_1$-weighted magnetic resonance imaging
Accurate estimation of biological brain age from three dimensional (3D) T$_1$-weighted magnetic resonance imaging (MRI) is a critical imaging biomarker for identifying accelerated aging associated with neurodegenerative …
Image ReconstructionAge EstimationDeep Learning-Based Age Estimation and Gender Deep Learning-Based Age Estimation and Gender Classification for Targeted Advertisement
This paper presents a novel deep learning-based approach for simultaneous age and gender classification from facial images, designed to enhance the effectiveness of targeted advertising campaigns. We propose a custom Con…
Age And Gender ClassificationData AugmentationAge EstimationDiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation
Accurate age verification can protect underage users from unauthorized access to online platforms and e-commerce sites that provide age-restricted services. However, accurate age estimation can be confounded by several f…
Age EstimationFace VerificationData-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation
Estimating a person's age from their gait has important applications in healthcare, security and human-computer interaction. In this work, we review fifty-nine studies involving over seventy-five thousand subjects record…
Age EstimationSensor FusionHumanVideo-MME: Benchmarking MLLMs for Human-Centric Video Understanding
Multimodal Large Language Models (MLLMs) have demonstrated significant advances in visual understanding tasks involving both images and videos. However, their capacity to comprehend human-centric video data remains under…
Emotion RecognitionAction RecognitionVideo GenerationAge EstimationRobust brain age estimation from structural MRI with contrastive learning
Estimating brain age from structural MRI has emerged as a powerful tool for characterizing normative and pathological aging. In this work, we explore contrastive learning as a scalable and robust alternative to L1-superv…
Contrastive LearningAge EstimationFusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
Accurate gestational age (GA) estimation, ideally through fetal ultrasound measurement, is a crucial aspect of providing excellent antenatal care. However, deriving GA from manual fetal biometric measurements depends on …
Age EstimationAGE-US: automated gestational age estimation based on fetal ultrasound images
Being born small carries significant health risks, including increased neonatal mortality and a higher likelihood of future cardiac diseases. Accurate estimation of gestational age is critical for monitoring fetal growth…
Age EstimationFoundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinct tasks: biological age estimation (FAHR…
Age EstimationOvercoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation
Facial age estimation has achieved considerable success under controlled conditions. However, in unconstrained real-world scenarios, which are often referred to as 'in the wild', age estimation remains challenging, espec…
Age EstimationMORPHUnderage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery
Accurate automatic screening of minors in unconstrained images demands models that are robust to distribution shift and resilient to the children under-representation in publicly available data. To overcome these issues,…
Age EstimationOverall - TestStochastic OptimizationA Manually Annotated Image-Caption Dataset for Detecting Children in the Wild
Platforms and the law regulate digital content depicting minors (defined as individuals under 18 years of age) differently from other types of content. Given the sheer amount of content that needs to be assessed, machine…
Age EstimationBenchmarkingOcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation
Estimating a child's age from ocular biometric images is challenging due to subtle physiological changes and the limited availability of longitudinal datasets. Although most biometric age estimation studies have focused …
Age EstimationPrivacy PreservingFace-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
The human face plays a central role in social communication, necessitating the use of performant computer vision tools for human-centered applications. We propose Face-LLaVA, a multimodal large language model for face-ce…
Action Unit DetectionAge EstimationAttributeDeepFake Detection+5Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection
Landmark detection plays a crucial role in medical imaging applications such as disease diagnosis, bone age estimation, and therapy planning. However, training models for detecting multiple landmarks simultaneously often…
Age EstimationA Survey on Ordinal Regression: Applications, Advances and Prospects
Ordinal regression refers to classifying object instances into ordinal categories. Ordinal regression is crucial for applications in various areas like facial age estimation, image aesthetics assessment, and even cancer …
Age EstimationregressionSurveyFetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
Foundation models are becoming increasingly effective in the medical domain, offering pre-trained models on large datasets that can be readily adapted for downstream tasks. Despite progress, fetal ultrasound images remai…
Age EstimationBenchmarking