Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Eye-tracked virtual reality: a comprehensive survey on methods and privacy challenges
Latest developments in computer hardware, sensor technologies, and artificial intelligence
can make virtual reality (VR) and virtual spaces an important part of human everyday life …
can make virtual reality (VR) and virtual spaces an important part of human everyday life …
LCP-Net: A local context-perception deep neural network for medical image segmentation
D Peng, S Xiong, W Peng, J Lu - Expert Systems with Applications, 2021 - Elsevier
Automatic image segmentation is an indispensable step in medical image analysis, and it
plays an important role in computer-assisted radiotherapy, disease diagnosis and treatment …
plays an important role in computer-assisted radiotherapy, disease diagnosis and treatment …
Ssbc 2020: Sclera segmentation benchmarking competition in the mobile environment
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
[PDF][PDF] Artificial Intelligence-Based Semantic Segmentation of Ocular Regions for Biometrics and Healthcare Applications.
Multiple ocular region segmentation plays an important role in different applications such as
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …
Robust deep learning technique: U-Net architecture for pupil segmentation
S Gowroju, S Kumar - 2020 11th IEEE Annual Information …, 2020 - ieeexplore.ieee.org
In many of the iris biometric applications plays a major role in tracking the gaze, detecting
fatigue, and predicting the age of a person, etc. that were built for human-computer …
fatigue, and predicting the age of a person, etc. that were built for human-computer …
Segmentation-based ID preserving iris synthesis using generative adversarial networks
This study proposes a method for generating ID preserving synthetic iris database. The
proposed method can be applied in the generation of a synthetic iris database for various …
proposed method can be applied in the generation of a synthetic iris database for various …
End-to-End Depth-Guided Relighting Using Lightweight Deep Learning-Based Method
Image relighting, which involves modifying the lighting conditions while preserving the visual
content, is fundamental to computer vision. This study introduced a bi-modal lightweight …
content, is fundamental to computer vision. This study introduced a bi-modal lightweight …
Thermal image super-resolution challenge-pbvs 2021
RE Rivadeneira, AD Sappa… - Proceedings of the …, 2021 - openaccess.thecvf.com
This paper presents results from the second Thermal Image Super-Resolution (TISR)
challenge organized in the framework of the Perception Beyond the Visible Spectrum …
challenge organized in the framework of the Perception Beyond the Visible Spectrum …
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
The study of human gaze behavior in natural contexts requires algorithms for gaze
estimation that are robust to a wide range of imaging conditions. However, algorithms often …
estimation that are robust to a wide range of imaging conditions. However, algorithms often …