Facial landmark detection by deep multi-task learning
Facial landmark detection has long been impeded by the problems of occlusion and pose
variation. Instead of treating the detection task as a single and independent problem, we …
variation. Instead of treating the detection task as a single and independent problem, we …
Face feature extraction: a complete review
H Wang, J Hu, W Deng - IEEE Access, 2017 - ieeexplore.ieee.org
Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …
extraction framework for robust face recognition. We collect about 300 papers regarding face …
Diagnosing autism spectrum disorder from brain resting-state functional connectivity patterns using a deep neural network with a novel feature selection method
The whole-brain functional connectivity (FC) pattern obtained from resting-state functional
magnetic resonance imaging data are commonly applied to study neuropsychiatric …
magnetic resonance imaging data are commonly applied to study neuropsychiatric …
A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques
S Chokkadi, A Bhandary - arxiv preprint arxiv:1911.08426, 2019 - arxiv.org
Considering the existence of very large amount of available data repositories and reach to
the very advanced system of hardware, systems meant for facial identification ave evolved …
the very advanced system of hardware, systems meant for facial identification ave evolved …
Prediction of the age and gender based on human face images based on deep learning algorithm
S Haseena, S Saroja, R Madavan… - … Methods in Medicine, 2022 - Wiley Online Library
In recent times, nutrition recommendation system has gained increasing attention due to
their need for healthy living. Current studies on the food domain deal with a …
their need for healthy living. Current studies on the food domain deal with a …
Guiding infogan with semi-supervision
In this paper we propose a new semi-supervised GAN architecture (ss-InfoGAN) for image
synthesis that leverages information from few labels (as little as 0.22\%, max. 10\% of the …
synthesis that leverages information from few labels (as little as 0.22\%, max. 10\% of the …
Deep aging face verification with large gaps
Along with the long-time evolution of popular social networks, eg Facebook, social media
analysis research inevitably arrived at the era of considering face/user recognition with large …
analysis research inevitably arrived at the era of considering face/user recognition with large …
Face recognition using a unified 3D morphable model
We address the problem of 3D-assisted 2D face recognition in scenarios when the input
image is subject to degradations or exhibits intra-personal variations not captured by the 3D …
image is subject to degradations or exhibits intra-personal variations not captured by the 3D …
Multimodal transfer deep learning with applications in audio-visual recognition
We propose a transfer deep learning (TDL) framework that can transfer the knowledge
obtained from a single-modal neural network to a network with a different modality …
obtained from a single-modal neural network to a network with a different modality …
Efficient 3D morphable face model fitting
Abstract 3D face reconstruction of shape and skin texture from a single 2D image can be
performed using a 3D Morphable Model (3DMM) in an analysis-by-synthesis approach …
performed using a 3D Morphable Model (3DMM) in an analysis-by-synthesis approach …