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Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion [article]

Arnaud Dapogny, Kévin Bailly, Matthieu Cord
2020 arXiv   pre-print
This cascade uses a geometry transfer network for integrating heterogeneous annotations to enhance landmark localization accuracy.  ...  Head pose estimation and face alignment constitute a backbone preprocessing for many applications relying on face analysis.  ...  Popular methods for 2D face alignment either belong to cascaded regression or deep learning-based, end-to-end approaches.  ... 
arXiv:2004.06558v1 fatcat:zpryqiroyjfmjou67jw35imy7e

BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation [article]

Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian
2019 arXiv   pre-print
Local regressors partition the data space into multiple overlapping subspaces to tackle heterogeneous data and gating networks learn continuity aware weights for the results of local regressors by employing  ...  Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterogeneous data caused by the non-stationary aging process.  ...  For a given input image, we first apply a face alignment algorithm to get an aligned facial image. Then the aligned image is passed through a CNN for feature extraction.  ... 
arXiv:1904.03358v1 fatcat:lyu4he6uyjcjrpmhs2jcthzaee

BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation

Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Local regressors partition the data space into multiple overlapping subspaces to tackle heterogeneous data and gating networks learn continuity aware weights for the results of local regressors by employing  ...  Existing methods for age estimation usually apply a divide-and-conquer strategy to deal with heterogeneous data caused by the non-stationary aging process.  ...  For any input image x ∈ X , we first crop the human face from the image to remove the background and then align the face. The aligned face image is sent to a deep convolution neural Figure 2 .  ... 
doi:10.1109/cvpr.2019.00124 dblp:conf/cvpr/LiLFX0019 fatcat:slfqpvut4rbctlmo3hotmdcsr4

AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies [article]

Benjamin Jones, Dalton Hildreth, Duowen Chen, Ilya Baran, Vladimir G. Kim, Adriana Schulz
2021 arXiv   pre-print
Figure 17 shows that regress-and-snap is a losing strategy: accuracy drops at even very small amounts of output noise. Feature and Network Selection.  ...  We use the same classification network with a different output head for both tasks, shown in Figure 9 .  ... 
arXiv:2105.12238v2 fatcat:5gr7oorgqvcuhfigzct6nuipr4

Face Alignment In-the-Wild: A Survey [article]

Xin Jin, Xiaoyang Tan
2016 arXiv   pre-print
In addition, we show performance statistics of the state of the art, and conclude this paper with several promising directions for future research.  ...  Furthermore, we organize special discussions on the practical aspects of face alignment in-the-wild, towards the development of a robust face alignment system.  ...  Acknowledgment This work is partially supported by National Science Foundation of China (61373060), Qing Lan Project, and the Funding of Jiangsu Innovation Program for Graduate Education (KYLX 0289).  ... 
arXiv:1608.04188v1 fatcat:jttse4u6fbbtrfakuitje5pbhi

The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances [article]

Hang Du, Hailin Shi, Dan Zeng, Xiao-Ping Zhang, Tao Mei
2021 arXiv   pre-print
Given a natural image or video frame as input, an end-to-end deep face recognition system outputs the face feature for recognition.  ...  Finally, in the stage of face representation, the discriminative features are extracted from the aligned face for recognition.  ...  Landmark-free Face Alignment Landmark-free face alignment methods integrate the alignment transformation processing into DCNNs and output aligned face without relying on facial landmarks.  ... 
arXiv:2009.13290v4 fatcat:vlconzbbyzee5g3s7xnbjgv3ey

NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery

Lei Ni, Chunlei Huo, Xin Zhang, Peng Wang, Luyang Zhang, Kangkang Guo, Zhixin Zhou
2022 Remote Sensing  
Extensive evaluations on the challenging SpaceNet benchmark for remote sensing demonstrate the superiority of NaGAN to the well-established state-of-the-art in detecting off-nadir objects.  ...  To address the off-nadir object detection problem in remote sensing, a new nadir-like generative adversarial network (NaGAN) is proposed in this paper by narrowing the representation differences between  ...  The underlying reason is the heterogeneity caused by the flight direction, lighting condition, and shadows.  ... 
doi:10.3390/rs14040975 fatcat:ehuahzsdljedvk3y5wx5b326ai

Curriculum Audiovisual Learning [article]

Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
2020 arXiv   pre-print
Meanwhile, our audiovisual model can also provide effective unimodal representation and cross-modal alignment performance.  ...  a flexible audiovisual model that introduces a soft-clustering module as the audio and visual content detector, and regards the pervasive property of audiovisual concurrency as the latent supervision for  ...  For each modality, the feature maps are the outputs of final convolution layer of the network.  ... 
arXiv:2001.09414v1 fatcat:6775bio7gbhelk565zbzi76yqe

Towards a Robust Thermal-Visible Heterogeneous Face Recognition Approach Based on a Cycle Generative Adversarial Network

Nadir Kamel Benamara, Ehlem Zigh, Tarik Boudghene Stambouli, Mokhtar Keche
2021 International Journal of Interactive Multimedia and Artificial Intelligence  
Therefore, instead of applying a direct matching from thermal to visible images which allows a recognition rate of 47,06% for TUFTS Database, a proposed TV-CycleGAN ensures accuracy of 57,56% for the same  ...  It contributes to a rate enhancement of 29,16%, and 15,71% for NVIE and PUJ databases, respectively. It reaches an accuracy enhancement of 18,5% for the aligned TUFTS database.  ...  This result corresponds to an accuracy enhancement of 18.49% in comparison to a direct Aligned LWIR-Visible face matching.  ... 
doi:10.9781/ijimai.2021.12.003 fatcat:auk56bnfxbfnjh42ya25l3wr2q

SADG: Self-Aligned Dual NIR-VIS Generation for Heterogeneous Face Recognition

Pengcheng Zhao, Fuping Zhang, Jianming Wei, Yingbo Zhou, Xiao Wei
2021 Applied Sciences  
Heterogeneous face recognition (HFR) has aroused significant interest in recent years, with some challenging tasks such as misalignment problems and limited HFR data.  ...  In this work, we propose a self-aligned dual generation (SADG) architecture for generating semantics-aligned pairwise NIR-VIS images with the same identity, but without the additional guidance of external  ...  Numerous better-aligned generated NIR-VIS images can tremendously benefit the performance of heterogeneous face recognition network.  ... 
doi:10.3390/app11030987 fatcat:az3y3txgtjbjfhjeks35lppabi

A Hierarchical Approach toward Prediction of Human Biological Age from Masked Facial Image Leveraging Deep Learning Techniques

Md. Mahbubul Islam, Joong-Hwan Baek
2022 Applied Sciences  
Our proposed hierarchical framework demonstrated marginal improvement in terms of mean absolute error (MAE) compared to the one-off model approach for masked face real age estimation.  ...  We performed a classification task by deploying multiple low-memory and higher-accuracy-based convolutional neural networks (CNNs).  ...  Acknowledgments: We would like to acknowledge Korea Aerospace University with much appreciation for its ongoing support to our research.  ... 
doi:10.3390/app12115306 fatcat:o6bbkcpxtfbr7fzzwvywbvcwve

CA-XTree: Age Estimation of Grouped Gradient Regression Tree with Local Channel Attention

Xiaoding Lu, Zhengyou Wang, Yanhui Xia, Shanna Zhuang, Dalin Zhang
2022 Computational Intelligence and Neuroscience  
This paper proposes CA-XTree network.  ...  This paper improves state of the art for image classification on MORPH and CACD datasets. The advantage of our model is that it is easy to implement and has no excess memory overhead.  ...  Preprocessing: we use OpenCV and Dlib for face detection and alignment.  ... 
doi:10.1155/2022/4155461 pmid:35669653 pmcid:PMC9167079 fatcat:fqksgzcowjcxpameibv6wvvpjq

Connecting natural and artificial neural networks in functional brain imaging using structured sparsity [article]

Christopher R Cox, Timothy T Rogers
2018 bioRxiv   pre-print
Artificial neural network models have long proven useful for understanding healthy, disordered, and developing cognition, but this work has often proceeded with little connection to functional brain imaging  ...  approach reveals extensive distributed signal missed by the other methods, suggesting radically different conclusions about how brains encode cognitive information in the well-studied domain of visual face  ...  Within the full pattern, faces are signaled by elevated activity in social-cognitive brain networks, by suppressed activity in networks relevant to navigation and object-directed action, and by heterogeneous  ... 
doi:10.1101/390534 fatcat:oh6ksea5fbhhdmpr3ztx5uyfiy

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark [article]

Yihua Cheng, Haofei Wang, Yiwei Bao, Feng Lu
2021 arXiv   pre-print
Since the data pre-processing and post-processing methods are crucial for gaze estimation, we also survey face/eye detection method, data rectification method, 2D/3D gaze conversion method, and gaze origin  ...  However, it lacks a guideline for designing deep learning algorithms for gaze estimation tasks.  ...  Dias et al. extract the facial landmarks and directly regress gaze from the landmarks [67] . The network outputs the gaze direction as well as an estimation of its own prediction uncertainty.  ... 
arXiv:2104.12668v1 fatcat:w5wj7be33jhx7oezuepptph4i4

Organizational flexibility from a network organizational perspective

Anne Lise Bjørnstad, Frederick M.J. Lichacz
2013 Leadership & Organization Development Journal  
The authors thank members of the international research group, NATO Human Factors and Medicine (HFM), Research and Technology Group (RTG) -138 for valuable discussions and for contributing to the data  ...  Thanks go also to Hilde Hafnor, Geir Enemo, and Bård Reitan (all FFI) for their contributions to the data collection.  ...  Variable measurements can be classified as self-report, experimental manipulation, observer rating, direct behavioral, and direct output.  ... 
doi:10.1108/lodj-02-2012-0021 fatcat:jumbyh5j7ngofhrsd33upjqqhu
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