Accurate lesion segmentation is a critical technology basis for the treatment and prognosis
of stroke. Stroke lesion segmentation suffers from complex background and noise interferes …

Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …

Head pose estimation (HPE) has been extensively investigated over the past decade due to
its wide range of applications across several domains of artificial intelligence (AI), resulting …

We present a multitask network that supports various deep neural network based pedestrian
detection functions. Besides 2D and 3D human pose, it also supports body and head …

Landmark detection under large pose with occlusion has been one of the challenging
problems in the field of facial analysis. Recently, many works have predicted pose or …

Deep machine learning models including Convolutional Neural Networks (CNN) have been
successful in the detection of Mild Cognitive Impairment (MCI) using medical images …

Deep learning based facial landmark detection (FLD) has made rapid progress. However,
the accuracy and robustness of FLD algorithms are degraded heavily when the face is …

Head pose estimation is a fundamental function for several applications in human–computer
interactions. Accurate six degrees of freedom head pose estimation (6DoF-HPE) with full …

Recent research has shown that a person's heart rate (HR) can be estimated using video
data through remote photoplethysmography (rPPG). However, this approach is faced with …

We introduce and evaluate a novel camera pose estimation framework that uses the human
head as a calibration object. The proposed method facilitates extrinsic calibration from 2D …