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A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion [article]

Lin Xiong, Jayashree Karlekar, Jian Zhao, Yi Cheng, Yan Xu, Jiashi Feng, Sugiri Pranata, Shengmei Shen
2018 arXiv   pre-print
The IJB-A dataset includes real-world unconstrained faces from 500 subjects with full pose and illumination variations which are much harder than the LFW and YTF datasets.  ...  In this paper, we propose a unified learning framework named Transferred Deep Feature Fusion (TDFF) targeting at the new IARPA Janus Benchmark A (IJB-A) face recognition dataset released by NIST face challenge  ...  Triplet Probabilistic Embedding (TPE) [46] couples a DCNN-based approach with a low-dimensional discriminative embedding learned using triplet probability constraints to solve the unconstrained face  ... 
arXiv:1704.00438v2 fatcat:c5yavvwjojd2hexl5luslq4tv4

A Study on the Performance of Unconstrained Very Low Resolution Face Recognition: Analyzing Current Trends and New Research Directions

Luis S. Luevano, Leonardo Chang, Heydi Mendez-Vazquez, Yoanna Martinez-Diaz, Miguel Gonzalez-Mendoza
2021 IEEE Access  
Traditional approaches have been mostly tested with constrained face recognition datasets, while deep learning approaches have been tested primarily with unconstrained face recognition datasets.  ...  The Super Resolution modules are based on ResNet blocks.  ... 
doi:10.1109/access.2021.3080712 fatcat:hkzki3uw4jgn5gygqrntzlzkti

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition [article]

Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Haochong Lan, Fang Zhao, Lin Xiong, Yan Xu, Jianshu Li, Sugiri Pranata, Shengmei Shen, Junliang Xing, Hengzhu Liu (+2 others)
2018 arXiv   pre-print
To this end, we propose a deep Age-Invariant Model (AIM) for face recognition in the wild with three distinct novelties.  ...  Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.  ...  [39] propose a Dual conditional GANs (Dual cGANs) where the primal cGAN transforms a face image to other ages based on the age condition, while the dual one learns to invert the task.  ... 
arXiv:1809.00338v2 fatcat:qxg7d64n35fjzay2bdgcajlw4q

Deep Heterogeneous Feature Fusion for Template-Based Face Recognition [article]

Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu, Jun-Cheng Chen, Carlos Castillo, Rama Chellappa
2017 arXiv   pre-print
for template-based face recognition, where a template refers to a set of still face images or video frames from different sources which introduces more blur, pose, illumination and other variations than  ...  In addition, we also present a series of covariate experiments on the face verification task for in-depth qualitative evaluations for the proposed approach.  ...  This research is based upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA R&D Contract No. 2014-14071600012  ... 
arXiv:1702.04471v1 fatcat:at53lndktnamvomrccpj67pgsa

GDFace: Gated Deformation for Multi-View Face Image Synthesis

Xuemiao Xu, Keke Li, Cheng Xu, Shengfeng He
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Photorealistic multi-view face synthesis from a single image is an important but challenging problem. Existing methods mainly learn a texture mapping model from the source face to the target face.  ...  Specifically, we propose a dual network that consists of two modules.  ...  GAN-based methods learn a direct mapping between the source image and the target image but ignore the geometric transformations of faces across different views.  ... 
doi:10.1609/aaai.v34i07.6942 fatcat:nipqmmp4g5a5za3h7crunlsice

Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Jian Zhao, Yu Cheng, Yi Cheng, Yang Yang, Fang Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
To this end, we propose a deep Age-Invariant Model (AIM) for face recognition in the wild with three distinct novelties.  ...  Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.  ...  (Song et al. 2018) propose a Dual conditional GANs (Dual cGANs) where the primal cGAN transforms a face image to other ages based on the age condition, while the dual one learns to invert the task.  ... 
doi:10.1609/aaai.v33i01.33019251 fatcat:eaf5rdgns5edpnzfwzm7c72yde

Unsupervised Eyeglasses Removal in the Wild [article]

Bingwen Hu, Zhedong Zheng, Ping Liu, Wankou Yang, Mingwu Ren
2020 arXiv   pre-print
Given two facial images with and without eyeglasses, the proposed model learns to swap the eye area in two faces.  ...  Furthermore, we evaluate ERGAN on several subsequent tasks, such as face verification and facial expression recognition.  ...  In particular, we finally append a refine block which consists of a convolutional layer and a fully connected layer.  ... 
arXiv:1909.06989v4 fatcat:meigab4njrf2jm54sujzodazzi

Labeled Faces in the Wild: A Survey [chapter]

Erik Learned-Miller, Gary B. Huang, Aruni RoyChowdhury, Haoxiang Li, Gang Hua
2016 Advances in Face Detection and Facial Image Analysis  
In 2007, Labeled Faces in the Wild was released in an effort to spur research in face recognition, specifically for the problem of face verification with unconstrained images.  ...  We end with a brief discussion of recent databases designed to challenge the next generation of face recognition algorithms.  ...  Acknowledgments This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract  ... 
doi:10.1007/978-3-319-25958-1_8 fatcat:nqmzsok4lvd55mqgxwp67towcu

Towards Pose Invariant Face Recognition in the Wild

Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
First, PIM is a novel and unified deep architecture, containing a Face Frontalization sub-Net (FFN) and a Discriminative Learning sub-Net (DLN), which are jointly learned from end to end.  ...  To this end, we propose a Pose Invariant Model (PIM) for face recognition in the wild, with three distinct novelties.  ...  For quantitative evaluation, we evaluate face recognition performance using the learned facial representations with a cosine distance metric on Multi-PIE [12] and CFP [24] benchmark datasets.  ... 
doi:10.1109/cvpr.2018.00235 dblp:conf/cvpr/ZhaoCXXL0KPSXYF18 fatcat:5puya4rcgfgernddrontafdz5q

Contrastive Attention Network with Dense Field Estimation for Face Completion [article]

Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Gengyun Jia, Zhenhua Chai, Xiaolin Wei
2021 arXiv   pre-print
We further propose a multi-scale decoder with a novel dual attention fusion module (DAF), which can combine the restored and known regions in an adaptive manner.  ...  To deal with geometric variations of face images, a dense correspondence field is integrated into the network.  ...  [59] proposed a photometric stereo-based method for unconstrained 3D face reconstruction, which benefited from a combination of landmark constraints and photometric stereo-based normals. Yin et al.  ... 
arXiv:2112.10310v1 fatcat:uev3oyxsq5gyrgwr7rv65bbchm

Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras

Dat Nguyen, Hyung Hong, Ki Kim, Kang Park
2017 Sensors  
The human body contains identity information that can be used for the person recognition (verification/recognition) problem.  ...  including a visible light camera and a thermal camera.  ...  LBP , = ∑ ( − ) × 2 where s(x) = 1, ≥ 0 0, < 0 (1) For the body-based person verification/identification problem, because the images are captured in the unconstrained environment of a surveillance system  ... 
doi:10.3390/s17030605 pmid:28300783 pmcid:PMC5375891 fatcat:clewj2ch2fbb5g6aiksdsescki

PAM: Pose Attention Module for Pose-Invariant Face Recognition [article]

En-Jung Tsai, Wei-Chang Yeh
2021 arXiv   pre-print
with representation learning.  ...  Specifically, PAM performs frontal-profile feature transformation in hierarchical feature space by learning residuals between pose variations with a soft gate mechanism.  ...  verification results (%) with different CAM block designs.  ... 
arXiv:2111.11940v1 fatcat:m4y2ulvinfdj5lh33bj5bv45pu

A comprehensive survey and deep learning-based approach for human recognition using ear biometric

Aman Kamboj, Rajneesh Rani, Aditya Nigam
2021 The Visual Computer  
A modified deep learning models Faster-RCNN and VGG-19 are used for ear detection and ear recognition tasks, respectively.  ...  We have introduced a new database, NITJEW, for evaluation of unconstrained ear detection and recognition.  ...  [77] AWEx Dual-path convolutional neural network Softmax 31.5 - 9. CNN is replaced with a spatial pyramid pooling layer that can accept any arbitrary size data.  ... 
doi:10.1007/s00371-021-02119-0 pmid:33907343 pmcid:PMC8061142 fatcat:hug67l6hfrapbnmrw3bu2lk7mu

Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions [article]

Zhihang Li, Yibo Hu, Ran He
2017 arXiv   pre-print
Finally, the disentangling and fusing processes are unified into a dual learning framework along with an adversarial strategy. The proposed method is evaluated on Meshface verification problem.  ...  Face completion aims to generate semantically new pixels for missing facial components. It is a challenging generative task due to large variations of face appearance.  ...  plication example focuses on face in this paper, our DF-GAN is general and easily extended to style transfer such as zebras and horses, which is the focus of our future work.  ... 
arXiv:1712.04646v1 fatcat:mdaqukdggvhxxepghlte2h22im

CP-GAN: A Cross-Pose Profile Face Frontalization Boosting Pose-Invariant Face Recognition

Jinjin Liu, Qingbao Li, Ming Liu, Tongxin Wei
2020 IEEE Access  
In PIM, a complex discriminative learning sub-net is adopted for face verification and recognition.  ...  Pose Invariant Model (PIM) [16] puts forward a similar idea with TP-GAN and DR-GAN, aiming to learn the pose invariant representations end-to-end to address significant pose variance issue in unconstrained  ... 
doi:10.1109/access.2020.3033675 fatcat:enjgquxsfng7pmrpyheosh4pby
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