Fetching the paper…
Reading the bibliography…
The common implementation of face recognition systems as a cascade of a detection stage and a recognition or verification stage can cause problems beyond failures of the detector.
Efficient algorithms for agglomerative hierarchical clustering methods
William HE Day and Herbert Edelsbrunner · 1984
Earlier work this paper cites.
Morph: A longitudinal image database of normal adult age-progression
Karl Ricanek and Tamirat Tesafaye · 2006
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Fddb: A benchmark for face detection in unconstrained settings
Vidit Jain and Erik Learned-Miller · 2010
Earlier work this paper cites.
Low-resolution face recognition: a review
Zhifei Wang, Zhenjiang Miao, QM Jonathan Wu, Yanli Wan, and Zhen Tang · 2014
Earlier work this paper cites.
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, and Zheng Zhang · 2015
Earlier work this paper cites.
Simultaneous hallucination and recognition of low-resolution faces based on singular value decomposition
Muwei Jian and Kin-Man Lam · 2015
Earlier work this paper cites.
Deep face recognition
Omkar M. Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Earlier work this paper cites.
Scalable person re-identification: A benchmark
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang · 2016
Earlier work this paper cites.
Studying very low resolution recognition using deep networks
Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, and Thomas S. Huang · 2016
Earlier work this paper cites.
A discriminative feature learning approach for deep face recognition
Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao · 2016
Earlier work this paper cites.
Wider face: A face detection benchmark
Shuo Yang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2016
Earlier work this paper cites.
Sphereface: Deep hypersphere embedding for face recognition
Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, and Le Song · 2017
Cited alongside, same era.
Quality aware network for set to set recognition
Yu Liu, Junjie Yan, and Wanli Ouyang · 2017
Cited alongside, same era.
L2-constrained softmax loss for discriminative face verification
Rajeev Ranjan, Carlos D Castillo, and Rama Chellappa · 2017
Cited alongside, same era.
Learning discriminative aggregation network for video-based face recognition
Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou · 2017
Cited alongside, same era.
Neural aggregation network for video face recognition
Jiaolong Yang, Peiran Ren, Dongqing Zhang, Dong Chen, Fang Wen, Hongdong Li, and Gang Hua · 2017
Cited alongside, same era.
Template adaptation for face verification and identification
Multicolumn networks for face recognition
Weidi Xie and Andrew Zisserman · 2018
Later among the works it cites.
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, et al · 2018
Later among the works it cites.
Video face recognition: Component-wise feature aggregation network (c-fan)
Sixue Gong, Yichun Shi, and Anil K Jain · 2019
Later among the works it cites.
Faceqnet: Quality assessment for face recognition based on deep learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, Rudolf Haraksim, and Laurent Beslay · 2019
Later among the works it cites.
Permutation-invariant feature restructuring for correlation-aware image set-based recognition
Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia, Jane You, and BVK Kumar · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Nate Crosswhite, Jeffrey Byrne, Chris Stauffer, Omkar Parkhi, Qiong Cao, and Andrew Zisserman · 2018
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, and Stefanos Zafeiriou · 2018
Cited alongside, same era.
Dependency-aware attention control for unconstrained face recognition with image sets
Xiaofeng Liu, BVK Kumar, Chao Yang, Qingming Tang, and Jane You · 2018
Cited alongside, same era.
Deep coupled resnet for low-resolution face recognition
Ze Lu, Xudong Jiang, and Alex Chichung Kot · 2018
Cited alongside, same era.
Iarpa janus benchmark-c: Face dataset and protocol
Brianna Maze, Jocelyn Adams, James A Duncan, Nathan Kalka, Tim Miller, Charles Otto, Anil K Jain, W Tyler Niggel, Janet Anderson, Jordan Cheney, et al · 2018
Cited alongside, same era.
Face space representations in deep convolutional neural networks
Alice J O’Toole, Carlos D Castillo, Connor J Parde, Matthew Q Hill, and Rama Chellappa · 2018
Cited alongside, same era.
The devil of face recognition is in the noise
Fei Wang, Liren Chen, Cheng Li, Shiyao Huang, Yanjie Chen, Chen Qian, and Chen Change Loy · 2018
Cited alongside, same era.
Unsupervised domain-specific deblurring via disentangled representations
Boyu Lu, Jun-Cheng Chen, and Rama Chellappa · 2019
Later among the works it cites.
Yichun Shi, Anil K Jain, and Nathan D Kalka · 2019
Later among the works it cites.
Joint discriminative and generative learning for person re-identification
Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, and Jan Kautz · 2019
Later among the works it cites.
Data uncertainty learning in face recognition
Jie Chang, Zhonghao Lan, Changmao Cheng, and Yichen Wei · 2020
Later among the works it cites.
Sub-center arcface: Boosting face recognition by large-scale noisy web faces
Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, and Stefanos Zafeiriou · 2020
Later among the works it cites.
Biometric quality: Review and application to face recognition with faceqnet
Javier Hernandez-Ortega, Javier Galbally, Julian Fierrez, and Laurent Beslay · 2020
Later among the works it cites.
Feature space singularity for out-of-distribution detection
Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, and Xinyu Zhou · 2020
Later among the works it cites.
Towards universal representation learning for deep face recognition
Yichun Shi, Xiang Yu, Kihyuk Sohn, Manmohan Chandraker, and Anil K Jain · 2020
Later among the works it cites.
Ser-fiq: Unsupervised estimation of face image quality based on stochastic embedding robustness
Philipp Terhorst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, and Arjan Kuijper · 2020
Later among the works it cites.