22.2.2.8 Face Recognition at a Distance, In the wild, In-the-Wild, Low Resolution Faces

Chapter Contents (Back)
Face Recognition. Low Resolution. Application, Face Recognition. In the Wild. at-a-distance. in the wild. low resolution Somewhat related:
See also Super Resolution for Face Images, Facial Image Super Resolution.

Equinox: Human Identification at a Distance,
HID. 2006. IR images available. Face Recognition.
HTML Version. Dataset, Faces.
See also Equinox Corporation.

Medioni, G., Choi, J.M.[Jong-Moo], Kuo, C.H.[Cheng-Hao], Fidaleo, D.,
Identifying Noncooperative Subjects at a Distance Using Face Images and Inferred Three-Dimensional Face Models,
SMC-A(39), No. 1, January 2009, pp. 12-24.
IEEE DOI 0901
Recongition at a distance. BibRef

Medioni, G., Choi, J.M.[Jong-Moo], Kuo, C.H.[Cheng-Hao], Choudhury, A., Zhang, L.[Li], Fidaleo, D.,
Non-Cooperative Persons Identification at a Distance with 3D Face Modeling,
BTAS07(1-6).
IEEE DOI 0709
BibRef

Bhanu, B.[Bir], Han, J.[Ju],
Human Recognition at a Distance in Video,
Springer2010, ISBN: 978-0-85729-123-3


WWW Link. Survey, Human Recognition. 1011
The issues for non-cooperating recognition. BibRef

Chen, X.J.[Xiao-Jing], An, L.[Le], Bhanu, B.[Bir],
Improving large-scale face image retrieval using multi-level features,
ICIP13(4367-4371)
IEEE DOI 1402
Face retrieval; large-scale; multi-level features BibRef

An, L.[Le], Bhanu, B.[Bir], Yang, S.F.[Song-Fan],
Boosting Face Recognition in Real-World Surveillance Videos,
AVSS12(270-275).
IEEE DOI 1211
BibRef

Ren, C.X., Dai, D.Q., Yan, H.,
Coupled Kernel Embedding for Low-Resolution Face Image Recognition,
IP(21), No. 8, August 2012, pp. 3770-3783.
IEEE DOI 1208
BibRef

Ren, C.X.[Chuan-Xian], Dai, D.Q.[Dao-Qing], Li, X.X.[Xiao-Xin], Lai, Z.R.[Zhao-Rong],
Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition,
IP(23), No. 2, February 2014, pp. 725-740.
IEEE DOI 1402
Gabor filters BibRef

Ren, C.X.[Chuan-Xian], Lei, Z., Dai, D.Q.[Dao-Qing], Li, S.Z.,
Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,
Cyber(46), No. 11, November 2016, pp. 2656-2669.
IEEE DOI 1609
face recognition BibRef

Lai, Z.R.[Zhao-Rong], Dai, D.Q.[Dao-Qing], Ren, C.X.[Chuan-Xian], Huang, K.K.[Ke-Kun],
Discriminative and Compact Coding for Robust Face Recognition,
Cyber(45), No. 9, September 2015, pp. 1900-1912.
IEEE DOI 1509
face recognition BibRef

Lai, Z.R.[Zhao-Rong], Dai, D.Q.[Dao-Qing], Ren, C.X.[Chuan-Xian], Huang, K.K.[Ke-Kun],
Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions,
IP(24), No. 6, June 2015, pp. 1735-1747.
IEEE DOI 1504
Face recognition BibRef

Ren, C.X.[Chuan-Xian], Dai, D.Q.[Dao-Qing], Huang, K.K.[Ke-Kun], Lai, Z.R.[Zhao-Rong],
Transfer Learning of Structured Representation for Face Recognition,
IP(23), No. 12, December 2014, pp. 5440-5454.
IEEE DOI 1412
face recognition BibRef

Lai, Z.R.[Zhao-Rong], Dai, D.Q.[Dao-Qing], Ren, C.X.[Chuan-Xian], Huang, K.,
Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions,
IP(23), No. 11, November 2014, pp. 4709-4723.
IEEE DOI 1410
Discrete cosine transforms BibRef

Biswas, S.[Soma], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
Multidimensional Scaling for Matching Low-Resolution Face Images,
PAMI(34), No. 10, October 2012, pp. 2019-2030.
IEEE DOI 1208
Embed the low-res test image and the high-res database image in a common space such that the distance between them in the transformed space approximates the distance if both were high res. BibRef

Chellappa, R.[Rama], Ni, J.[Jie], Patel, V.M.[Vishal M.],
Remote identification of faces: Problems, prospects, and progress,
PRL(33), No. 14, 15 October 2012, pp. 1849-1859.
Elsevier DOI 1209
Remote face recognition; Re-identification; Illumination; Blur; Low-resolution; Pose variation BibRef

Vageeswaran, P., Mitra, K., Chellappa, R.,
Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization,
IP(22), No. 4, April 2013, pp. 1362-1372.
IEEE DOI 1303
BibRef

Kan, M., Xu, D.[Dong], Shan, S.G.[Shi-Guang], Li, W.[Wen], Chen, X.L.[Xi-Lin],
Learning Prototype Hyperplanes for Face Verification in the Wild,
IP(22), No. 8, 2013, pp. 3310-3316.
IEEE DOI 1307
Face verification in the wild; mid-level feature representation; prototype hyperplane learning BibRef

Kan, M.[Meina], Xu, D.[Dong], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Semisupervised Hashing via Kernel Hyperplane Learning for Scalable Image Search,
CirSysVideo(24), No. 4, April 2014, pp. 704-713.
IEEE DOI 1405
content-based retrieval BibRef

Li, Y.[Yan], Wang, R.P.[Rui-Ping], Cui, Z.[Zhen], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Spatial Pyramid Covariance-Based Compact Video Code for Robust Face Retrieval in TV-Series,
IP(25), No. 12, December 2016, pp. 5905-5919.
IEEE DOI 1612
BibRef
Earlier: A1, A2, A4, A5, Only:
Hierarchical hybrid statistic based video binary code and its application to face retrieval in TV-series,
FG15(1-8)
IEEE DOI 1508
computational complexity BibRef

Liu, H.M.[Hao-Miao], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Deep Supervised Hashing for Fast Image Retrieval,
IJCV(127), No. 9, September 2019, pp. 1217-1234.
Springer DOI 1908
BibRef
Earlier: CVPR16(2064-2072)
IEEE DOI 1612
BibRef

Li, Y.[Yan], Wang, R.P.[Rui-Ping], Liu, H.M.[Hao-Miao], Jiang, H.J.[Hua-Jie], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction,
ICCV15(3819-3827)
IEEE DOI 1602
Large-scale face image retrieval. Given and example, find others. Binary codes; Birds; Face; Image retrieval; Semantics; Visualization
See also Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks. BibRef

Cui, Z.[Zhen], Li, W.[Wen], Xu, D.[Dong], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild,
CVPR13(3554-3561)
IEEE DOI 1309
BibRef

Wang, Z.F.[Zhi-Fei], Miao, Z.J.[Zhen-Jiang], Wu, Q.M.J.[Q. M. Jonathan], Wan, Y.L.[Yan-Li], Tang, Z.[Zhen],
Low-resolution face recognition: a review,
VC(30), No. 4, April 2014, pp. 359-386.
WWW Link. 1404
Survey, Face Recognition. BibRef

Kang, D.[Dongoh], Han, H.[Hu], Jain, A.K.[Anil K.], Lee, S.W.[Seong-Whan],
Nighttime face recognition at large standoff: Cross-distance and cross-spectral matching,
PR(47), No. 12, 2014, pp. 3750-3766.
Elsevier DOI 1410
Nighttime face recognition BibRef

Maeng, H.J.[Hyun-Ju], Liao, S.C.[Sheng-Cai], Kang, D.[Dongoh], Lee, S.W.[Seong-Whan], Jain, A.K.[Anil K.],
Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching,
ACCV12(II:708-721).
Springer DOI 1304
BibRef

Shi, J.G.[Jin-Gang], Qi, C.[Chun],
From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition,
SPLetters(22), No. 5, May 2015, pp. 554-558.
IEEE DOI 1411
BibRef
Earlier:
Face hallucination based on PCA dictionary pairs,
ICIP13(933-937)
IEEE DOI 1402
Dictionaries Face BibRef

Liu, L.[Luoqi], Zhang, L.[Li], Liu, H.R.[Hai-Rong], Yan, S.C.[Shui-Cheng],
Toward Large-Population Face Identification in Unconstrained Videos,
CirSysVideo(24), No. 11, November 2014, pp. 1874-1884.
IEEE DOI 1411
face recognition BibRef

Rim, D.[David], Hasan, M.K.[Md Kamrul], Puech, F.[Fannie], Pal, C.J.[Christopher J.],
Learning from weakly labeled faces and video in the wild,
PR(48), No. 3, 2015, pp. 759-771.
Elsevier DOI 1412
Semi-supervised learning BibRef

Ding, C., Xu, C., Tao, D.,
Multi-Task Pose-Invariant Face Recognition,
IP(24), No. 3, March 2015, pp. 980-993.
IEEE DOI 1502
Dictionaries BibRef

Ding, C., Tao, D.,
Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition,
PAMI(40), No. 4, April 2018, pp. 1002-1014.
IEEE DOI 1804
face recognition, feature extraction, image representation, learning (artificial intelligence), neural nets, video surveillance BibRef

Ding, C., Tao, D.,
Robust Face Recognition via Multimodal Deep Face Representation,
MultMed(17), No. 11, November 2015, pp. 2049-2058.
IEEE DOI 1511
Databases BibRef

Ding, C.X.[Chang-Xing], Choi, J.H.[Jong-Hyun], Tao, D.C.[Da-Cheng], Davis, L.S.[Larry S.],
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition,
PAMI(38), No. 3, March 2016, pp. 518-531.
IEEE DOI 1602
Face. Unconstrained, illumination, pose, expression. MDML-DCP. First derivative of Gaussian. BibRef

Ding, C.X.[Chang-Xing], Tao, D.C.[Da-Cheng],
Pose-invariant face recognition with homography-based normalization,
PR(66), No. 1, 2017, pp. 144-152.
Elsevier DOI 1704
Pose-invariant face recognition BibRef

Huang, Z.W.[Zhi-Wu], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Face recognition on large-scale video in the wild with hybrid Euclidean-and-Riemannian metric learning,
PR(48), No. 10, 2015, pp. 3113-3124.
Elsevier DOI 1507
BibRef
And:
Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition,
CVPR15(140-149)
IEEE DOI 1510
BibRef
Earlier:
Hybrid Euclidean-and-Riemannian Metric Learning for Image Set Classification,
ACCV14(III: 562-577).
Springer DOI 1504
BibRef
And:
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification,
CVPR14(1677-1684)
IEEE DOI 1409
Face recognition. Euclidean-to-Riemannian metric learning; point-to-set classification Single point matched to sets of correlated points. BibRef

Huang, Z.W.[Zhi-Wu], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Van Gool, L.J.[Luc J.], Chen, X.L.[Xi-Lin],
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,
PAMI(40), No. 12, December 2018, pp. 2827-2840.
IEEE DOI 1811
Manifolds, Extraterrestrial measurements, Face recognition, Learning systems, Riemannian manifold, cross Euclidean-to-Riemannian metric learning BibRef

Al-Maadeed, S.[Somaya], Bourif, M.[Mehdi], Bouridane, A.[Ahmed], Jiang, R.[Richard],
Low-quality facial biometric verification via dictionary-based random pooling,
PR(52), No. 1, 2016, pp. 238-248.
Elsevier DOI 1601
Facial biometrics BibRef

Sagonas, C.[Christos], Antonakos, E.[Epameinondas], Tzimiropoulos, G.[Georgios], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
300 Faces In-The-Wild Challenge: database and results,
IVC(47), No. 1, 2016, pp. 3-18.
Elsevier DOI 1605
BibRef
Earlier: A1, A3, A4, A5, Only:
300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge,
FaceWild13(397-403)
IEEE DOI 1403
Facial landmark localization. BibRef

Tzimiropoulos, G.[Georgios], Pantic, M.[Maja],
Optimization Problems for Fast AAM Fitting in-the-Wild,
ICCV13(593-600)
IEEE DOI 1403
AAMs; Active Appearance Models; Face alignment; In-the-wild BibRef

Zafeiriou, S.P.[Stefanos P.], Tzimiropoulos, G.[Georgios], Pantic, M.[Maja],
300 W: Special issue on facial landmark localisation 'in-the-wild',
IVC(47), No. 1, 2016, pp. 1-2.
Elsevier DOI 1605
BibRef

Lin, Y.M.[Yi-Ming], Shen, J.[Jie], Wang, Y.J.[Yu-Jiang], Pantic, M.[Maja],
RoI Tanh-polar transformer network for face parsing in the wild,
IVC(112), 2021, pp. 104190.
Elsevier DOI 2107
Face parsing, In-the-wild dataset, Head pose augmentation, Tanh-polar representation BibRef

Arashloo, S.R.[S. Rahimzadeh],
A comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild,
IET-CV(10), No. 6, 2016, pp. 466-474.
DOI Link 1609
Markov processes BibRef

López, M.B.[Miguel Bordallo], Boutellaa, E.[Elhocine], Hadid, A.[Abdenour], López, M.B., Boutellaa, E., Hadid, A.,
Comments on the 'Kinship Face in the Wild' Data Sets,
PAMI(38), No. 11, November 2016, pp. 2342-2344.
IEEE DOI 1610
Reccomends not using the existing data set due to issues in how it was created. I.e. simple features relate to imaging methods can perform better than real algorithms. BibRef

Proença, H.[Hugo], Neves, J.C.[João C.], Barra, S.[Silvio], Marques, T., Moreno, J.C.,
Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild,
PAMI(38), No. 12, December 2016, pp. 2444-2456.
IEEE DOI 1609
Biometrics (access control) BibRef

Huang, C.T.[Chun-Ting], Wang, Z.N.[Zheng-Ning], Kuo, C.C.J.[C.C. Jay],
Visible-light and near-infrared face recognition at a distance,
JVCIR(41), No. 1, 2016, pp. 140-153.
Elsevier DOI 1612
BibRef
Earlier:
TAEF: A cross-distance/environment face recognition method,
Biometrics15(1-8)
IEEE DOI 1510
Face recognition. Active appearance model BibRef

Huber, P., Kopp, P., Christmas, W., Rätsch, M., Kittler, J.V.,
Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos,
SPLetters(24), No. 4, April 2017, pp. 437-441.
IEEE DOI 1704
face recognition BibRef

Chen, J.[Jie], Patel, V.M.[Vishal M.], Liu, L.[Li], Kellokumpu, V.[Vili], Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti], Chellappa, R.[Rama],
Robust local features for remote face recognition,
IVC(64), No. 1, 2017, pp. 34-46.
Elsevier DOI 1708
Robust, local, feature BibRef

Deng, W., Chen, B., Fang, Y., Hu, J.,
Deep Correlation Feature Learning for Face Verification in the Wild,
SPLetters(24), No. 12, December 2017, pp. 1877-1881.
IEEE DOI 1712
backpropagation, correlation methods, face recognition, feedforward neural nets, vectors, 64-layer ResNet, CNN, DCFL network, softmax BibRef

Kumar, V.[Vijay], Namboodiri, A.M.[Anoop M.], Jawahar, C.V.,
Semi-supervised annotation of faces in image collection,
SIViP(12), No. 1, January 2018, pp. 141-149.
WWW Link. 1801
BibRef
Earlier:
Visual Phrases for Exemplar Face Detection,
ICCV15(1994-2002)
IEEE DOI 1602
Databases BibRef

Booth, J.[James], Roussos, A.[Anastasios], Ververas, E.[Evangelos], Antonakos, E.[Epameinondas], Ploumpis, S.[Stylianos], Panagakis, Y.[Yannis], Zafeiriou, S.P.[Stefanos P.],
3D Reconstruction of 'In-the-Wild' Faces in Images and Videos,
PAMI(40), No. 11, November 2018, pp. 2638-2652.
IEEE DOI 1810
Shape, Solid modeling, Image reconstruction, Videos, Lighting, Benchmark testing, 3DMM, 3D reconstruction BibRef

Booth, J., Antonakos, E., Ploumpis, S., Trigeorgis, G., Panagakis, Y., Zafeiriou, S.P.,
3D Face Morphable Models 'In-the-Wild',
CVPR17(5464-5473)
IEEE DOI 1711
Cameras, Data models, Face, Image reconstruction, Shape, Solid modeling, BibRef

Moschoglou, S.[Stylianos], Ploumpis, S.[Stylianos], Nicolaou, M.A.[Mihalis A.], Zafeiriou, S.P.[Stefanos P.],
Multi-Attribute Probabilistic Linear Discriminant Analysis for 3D Facial Shapes,
ACCV18(III:493-508).
Springer DOI 1906
BibRef

Sun, Y.C.[Yue-Chuan], Yu, J.[Jun],
General-to-specific learning for facial attribute classification in the wild,
JVCIR(56), 2018, pp. 83-91.
Elsevier DOI 1811
Facial attribute, Deep convolutional network, Joint learning, Task-aware learning BibRef

Masi, I.[Iacopo], Chang, F.J.[Feng-Ju], Choi, J.M.[Jong-Moo], Harel, S.[Shai], Kim, J.[Jung_Yeon], Kim, K.[Kang_Geon], Leksut, J.T.[Jatuporn T.], Rawls, S.[Stephen], Wu, Y.[Yue], Hassner, T.[Tal], Abd Almageed, W.[Wael], Medioni, G.[Gerard], Morency, L.P.[Louis-Philippe], Natarajan, P.[Prem], Nevatia, R.[Ram],
Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild,
PAMI(41), No. 2, February 2019, pp. 379-393.
IEEE DOI 1901
Face, Benchmark testing, Face recognition, Training, Solid modeling, pose-aware BibRef

Masi, I., Rawls, S., Medioni, G., Natarajan, P.,
Pose-Aware Face Recognition in the Wild,
CVPR16(4838-4846)
IEEE DOI 1612
BibRef

Ge, S.M.[Shi-Ming], Zhao, S.W.[Sheng-Wei], Li, C.Y.[Chen-Yu], Zhang, Y.[Yu], Li, J.[Jia],
Efficient Low-Resolution Face Recognition via Bridge Distillation,
IP(29), 2020, pp. 6898-6908.
IEEE DOI 2007
BibRef
Earlier: A1, A2, A3, A5, Only:
Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation,
IP(28), No. 4, April 2019, pp. 2051-2062.
IEEE DOI 1901
Face, Face recognition, Adaptation models, Image resolution, Training, Computational modeling, Bridges, CNNs feedforward neural nets, image classification, image resolution, learning (artificial intelligence), CNNs BibRef

Li, J., Liu, L., Li, J., Feng, J., Yan, S., Sim, T.,
Toward a Comprehensive Face Detector in the Wild,
CirSysVideo(29), No. 1, January 2019, pp. 104-114.
IEEE DOI 1901
Face, Face detection, Detectors, Training, Feature extraction, Neural networks, Proposals, Bi-channel architecture, blur-aware, video context BibRef

Min, W.D.[Wei-Dong], Fan, M.D.[Meng-Dan], Li, J.[Jing], Han, Q.[Qing],
Real-time face recognition based on pre-identification and multi-scale classification,
IET-CV(13), No. 2, March 2019, pp. 165-171.
DOI Link 1902
Pedestrian scenes. BibRef

Li, F.[Fei], Jiang, M.Y.[Ming-Yan],
Low-resolution face recognition and feature selection based on multidimensional scaling joint L 2,1-norm regularisation,
IET-Bio(8), No. 3, May 2019, pp. 198-205.
DOI Link 1904
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Gaston, J., Ming, J., Crookes, D.,
Matching Larger Image Areas for Unconstrained Face Identification,
Cyber(49), No. 8, August 2019, pp. 3191-3202.
IEEE DOI 1905
Training, Testing, Face, Training data, Lighting, Robustness, Correlation, Block-based correlation, face identification, patch-based image processing BibRef

Wang, M.J.[Meng-Jiao], Shu, Z.X.[Zhi-Xin], Cheng, S.Y.[Shi-Yang], Panagakis, Y.[Yannis], Samaras, D.[Dimitris], Zafeiriou, S.P.[Stefanos P.],
An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations,
IJCV(127), No. 6-7, June 2019, pp. 743-762.
Springer DOI 1906
Disentangle pose, illumination and deformation. BibRef

Zhang, H., Li, Q., Sun, Z.,
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild,
IP(28), No. 9, Sep. 2019, pp. 4526-4540.
IEEE DOI 1908
face recognition, image representation, learning (artificial intelligence), neural nets, auxiliary regression adversarial learning BibRef

Ameur, B.[Bilel], Belahcene, M.[Mebarka], Masmoudi, S.[Sabeur], Ben Hamida, A.[Ahmed],
Hybrid descriptors and Weighted PCA-EFMNet for Face Verification in the Wild,
MultInfoRetr(8), No. 3, September 2019, pp. 143-154.
Springer DOI 1908
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Peng, Y.X.[Yu-Xi], Spreeuwers, L.J.[Luuk J.], Veldhuis, R.N.J.[Raymond N.J.],
Low-resolution face alignment and recognition using mixed-resolution classifiers,
IET-Bio(6), No. 6, November 2017, pp. 418-428.
DOI Link 1711
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Peng, Y.X.[Yu-Xi], Spreeuwers, L.J.[Luuk J.], Veldhuis, R.N.J.[Raymond N.J.],
Low-resolution face recognition and the importance of proper alignment,
IET-Bio(8), No. 4, July 2019, pp. 267-276.
DOI Link 1906
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Zeng, D.[Dan], Spreeuwers, L.J.[Luuk J.], Veldhuis, R.N.J.[Raymond N.J.], Zhao, Q.J.[Qi-Jun],
Combined training strategy for low-resolution face recognition with limited application-specific data,
IET-IPR(13), No. 10, 22 August 2019, pp. 1790-1796.
DOI Link 1909
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Ke, X.[Xiao], Li, J.P.[Jian-Ping], Guo, W.Z.[Wen-Zhong],
Dense small face detection based on regional cascade multi-scale method,
IET-IPR(13), No. 14, 12 December 2019, pp. 2796-2804.
DOI Link 1912
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Ly, T.S.[Thai Son], Do, N.T.[Nhu-Tai], Kim, S.H.[Soo-Hyung], Yang, H.J.[Hyung-Jeong], Lee, G.S.[Guee-Sang],
A novel 2D and 3D multimodal approach for in-the-wild facial expression recognition,
IVC(92), 2019, pp. 103817.
Elsevier DOI 1912
Facial expression recognition, In-the-wild FER, 2D + 3D FER BibRef

Sun, J.N.[Jing-Na], Shen, Y.[Yehu], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Classifier shared deep network with multi-hierarchy loss for low resolution face recognition,
SP:IC(82), 2020, pp. 115766.
Elsevier DOI 2001
Low-resolution face recognition, Classifier shared deep network, Multi-hierarchy loss, Intermediate features BibRef

Mu, G.D.[Guo-Dong], Huang, D.[Di], Hu, G.S.[Guo-Sheng], Sun, J.[Jia], Wang, Y.H.[Yun-Hong],
Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces,
CVPR19(5766-5775).
IEEE DOI 2002
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Hong, S., Ryu, J.,
Unsupervised Face Domain Transfer for Low-Resolution Face Recognition,
SPLetters(27), 2020, pp. 156-160.
IEEE DOI 2002
Low-resolution face recognition, image-to-image translation, domain adaptation, attention, face augmentation BibRef

Sikkandar, H.[Haseena], Thiyagarajan, R.[Revathi],
Soft biometrics-based face image retrieval using improved Grey Wolf Optimisation,
IET-IPR(14), No. 3, 28 February 2020, pp. 451-461.
DOI Link 2002
Unconstrained images. BibRef

Gundogdu, B.[Batuhan], Bianco, M.J.[Michael J.],
Collaborative similarity metric learning for face recognition in the wild,
IET-IPR(14), No. 9, 20 July 2020, pp. 1759-1768.
DOI Link 2007
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Cheng, Z.Y.[Zhi-Yi], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang],
Face re-identification challenge: Are face recognition models good enough?,
PR(107), 2020, pp. 107422.
Elsevier DOI 2008
Face re-identification, Surveillance facial imagery, Low-resolution, Super-resolution, Open-set matching, Face recognition BibRef

Xi, Y.[Yue], Zheng, J.B.[Jiang-Bin], He, X.J.[Xiang-Jian], Jia, W.J.[Wen-Jing], Li, H.H.[Han-Hui], Xie, Y.F.[Ye-Fan], Feng, M.C.[Ming-Chen], Li, X.X.[Xiu-Xiu],
Beyond context: Exploring semantic similarity for small object detection in crowded scenes,
PRL(137), 2020, pp. 53-60.
Elsevier DOI 2008
BibRef
Earlier: A1, A2, A3, A4, A5, Only:
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,
ICIP18(1907-1911)
IEEE DOI 1809
Face, Face detection, Semantics, Measurement, Detectors, Feature extraction, Computer science, Tiny face detection, graph-cut BibRef

Ge, S., Li, C., Zhao, S., Zeng, D.,
Occluded Face Recognition in the Wild by Identity-Diversity Inpainting,
CirSysVideo(30), No. 10, October 2020, pp. 3387-3397.
IEEE DOI 2010
Face, Face recognition, Generative adversarial networks, Feature extraction, deep learning BibRef

Low, C.Y., Teoh, A.B.J., Park, J.,
MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition,
SPLetters(28), 2021, pp. 354-358.
IEEE DOI 2102
Face recognition, Training, Task analysis, Mutual information, Probes, Streaming media, Feature extraction, mutual information distillation BibRef

Rouhsedaghat, M.[Mozhdeh], Wang, Y.F.[Yi-Fan], Hu, S.[Shuowen], You, S.[Suya], Kuo, C.C.J.[C.C. Jay],
Low-resolution face recognition in resource-constrained environments,
PRL(149), 2021, pp. 193-199.
Elsevier DOI 2108
Low-resolution face recognition, Small model, Small data, SSL, Pixelhop++ BibRef

Liu, Y.F.[Yan-Fei], Chen, J.H.[Jun-Hua],
Multi-factor joint normalisation for face recognition in the wild,
IET-CV(15), No. 6, 2021, pp. 405-417.
DOI Link 2108
BibRef

Jiao, Q.F.[Qian-Fen], Li, R.[Rui], Cao, W.M.[Wen-Ming], Zhong, J.[Jian], Wu, S.[Si], Wong, H.S.[Hau-San],
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild,
PR(120), 2021, pp. 108107.
Elsevier DOI 2109
Low-resolution face verification, Domain adaptation, Image translation, GAN BibRef

Mishra, N.K.[Nayaneesh Kumar], Dutta, M.[Mainak], Singh, S.K.[Satish Kumar],
Multiscale parallel deep CNN (mpdCNN) architecture for the real low-resolution face recognition for surveillance,
IVC(115), 2021, pp. 104290.
Elsevier DOI 2110
Face recognition, Low-resolution images, Surveillance, Multiscale parallel architecture, Convolution neural network BibRef

Mishra, N.K.[Nayaneesh Kumar], Singh, S.K.[Satish Kumar],
Regularized Hardmining loss for face recognition,
IVC(117), 2022, pp. 104343.
Elsevier DOI 2112
Face Recognition, Hardmining loss, Regularized Hardmining loss BibRef

Zhang, Z.[Ziyu], Da, F.[Feipeng], Yu, Y.[Yi],
Learning directly from synthetic point clouds for 'in-the-wild' 3D face recognition,
PR(123), 2022, pp. 108394.
Elsevier DOI 2112
3D face recognition, Learning from synthetic, Curvature-aware point sampling, Transfer learning BibRef

Horng, S.J.[Shi-Jinn], Supardi, J.[Julian], Zhou, W.[Wanlei], Lin, C.T.[Chin-Teng], Jiang, B.[Bin],
Recognizing Very Small Face Images Using Convolution Neural Networks,
ITS(23), No. 3, March 2022, pp. 2103-2115.
IEEE DOI 2203
Face recognition, Image recognition, Convolution, Databases, Image reconstruction, Very low resolution, residual learning BibRef

Liang, J.X.[Jin-Xiu], Wang, J.W.[Jing-Wen], Quan, Y.H.[Yu-Hui], Chen, T.Y.[Tian-Yi], Liu, J.Y.[Jia-Ying], Ling, H.B.[Hai-Bin], Xu, Y.[Yong],
Recurrent Exposure Generation for Low-Light Face Detection,
MultMed(24), 2022, pp. 1609-1621.
IEEE DOI 2204
Face detection, Faces, Lighting, Detectors, Face recognition, Task analysis, Benchmark testing, Gated recurrent networks, multi-exposure BibRef

Singh, M.[Maneet], Nagpal, S.[Shruti], Singh, R.[Richa], Vatsa, M.[Mayank],
DeriveNet for (Very) Low Resolution Image Classification,
PAMI(44), No. 10, October 2022, pp. 6569-6577.
IEEE DOI 2209
BibRef
Earlier:
Dual Directed Capsule Network for Very Low Resolution Image Recognition,
ICCV19(340-349)
IEEE DOI 2004
Face recognition, Image resolution, Feature extraction, Image reconstruction, Training, Task analysis, Image recognition, digit classification. cameras, image sensors. BibRef

Zhao, P.Z.[Pan-Zi], Ming, Y.[Yue], Meng, X.Y.[Xu-Yang], Yu, H.[Hui],
LMFNet: A Lightweight Multiscale Fusion Network With Hierarchical Structure for Low-Quality 3-D Face Recognition,
HMS(53), No. 1, February 2023, pp. 239-252.
IEEE DOI 2301
Face recognition, Feature extraction, Real-time systems, Solid modeling, Robustness, Convolutional neural networks, real-time BibRef

Zhang, P.N.[Pu-Ning], Huang, F.Y.[Feng-Yi], Wu, D.P.[Da-Peng], Yang, B.[Boran], Yang, Z.G.[Zhi-Gang], Tan, L.[Lei],
Device-Edge-Cloud Collaborative Acceleration Method Towards Occluded Face Recognition in High-Traffic Areas,
MultMed(25), 2023, pp. 1513-1520.
IEEE DOI 2305
Face recognition, Feature extraction, Computational modeling, Collaboration, Image edge detection, Delays, Servers, model partitioning BibRef

Qian, J.J.[Jian-Jun], Zhu, S.[Shumin], Zhao, C.[Chaoyu], Yang, J.[Jian], Wong, W.K.[Wai Keung],
OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation,
MultMed(25), 2023, pp. 1427-1438.
IEEE DOI 2305
Face recognition, Training, Task analysis, Neural networks, Facial features, Representation learning, Generators, Optimal transport BibRef

Parres, D.[Daniel], Paredes, R.[Roberto],
Lightweight Vision Transformers for Face Verification in the Wild,
IbPRIA23(414-425).
Springer DOI 2307
BibRef

Zhou, W.T.[Wen-Tao], Zhang, Y.S.[Yu-Shu], Zhao, R.[Ruoyu], Yi, S.[Shuang], Lan, R.[Rushi],
Adversarial Thumbnail-Preserving Transformation for Facial Images Based on GAN,
SPLetters(30), 2023, pp. 1147-1151.
IEEE DOI 2310
BibRef

Xu, R.Z.[Rui-Zhuo], Wang, K.[Ke], Deng, C.[Chao], Wang, M.[Mei], Chen, X.[Xi], Huang, W.H.[Wen-Hui], Feng, J.[Junlan], Deng, W.H.[Wei-Hong],
Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition,
PR(145), 2024, pp. 109936.
Elsevier DOI 2311
Depth map denoising, Implicit neural representations, Low-quality 3D face recognition, Lightweight network, Deep learning BibRef

Zhang, K.B.[Kai-Bing], Zheng, D.D.[Dong-Dong], Li, J.[Jie], Gao, X.B.[Xin-Bo], Lu, J.[Jian],
Coupled discriminative manifold alignment for low-resolution face recognition,
PR(147), 2024, pp. 110049.
Elsevier DOI 2312
Low-resolution face recognition, Discriminative manifold embedding, Feature subspace BibRef

Zhang, M.[Meng], Liu, R.J.[Ru-Jie], Deguchi, D.[Daisuke], Murase, H.[Hiroshi],
Texture-Guided Transfer Learning for Low-Quality Face Recognition,
IP(33), 2024, pp. 95-107.
IEEE DOI 2312
BibRef


Chai, J.C.L.[Jacky Chen Long], Ng, T.S.[Tiong-Sik], Low, C.Y.[Cheng-Yaw], Park, J.[Jaewoo], Teoh, A.B.J.[Andrew Beng Jin],
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation,
CVPR23(9957-9967)
IEEE DOI 2309
BibRef

Teng, W.B.[Wen-Bin], Bai, C.Y.[Chong-Yang],
Unimodal Face Classification with Multimodal Training,
FG21(1-5)
IEEE DOI 2303
Training, Adaptation models, Sentiment analysis, Face recognition, Sensors, Task analysis BibRef

Fang, H.[Han], Deng, W.H.[Wei-Hong], Zhong, Y.Y.[Yao-Yao], Hu, J.[Jiani], Zhao, D.Y.[Dong-Yue], Li, X.[Xian], Wen, D.C.[Dong-Chao],
Augmented Face Representation Learning via Transitive Distillation,
FG21(1-8)
IEEE DOI 2303
Representation learning, Bridges, Face recognition, Benchmark testing BibRef

Geng, Q.X.[Qi-Xiang], Liang, D.[Dong], Zhou, H.Y.[Hui-Yu], Zhang, L.Y.[Li-Yan], Sun, H.[Han], Liu, N.Z.[Ning-Zhong],
Dense Face Detection via High-level Context Mining,
FG21(1-8)
IEEE DOI 2303
Training, Degradation, Face recognition, Detectors, Benchmark testing BibRef

Wang, H.H.[Hai-Han], Wang, S.F.[Shang-Fei],
Low-Resolution Face Recognition Enhanced by High-Resolution Facial Images,
FG23(1-8)
IEEE DOI 2303
Training, Visualization, Image resolution, Image recognition, Shape, Face recognition, Benchmark testing BibRef

Filho, H.P.[Helio Perroni], Trajcevski, A.[Aleksander], Bhargava, K.[Kartikeya], Javed, N.[Nizwa], Elder, J.H.[James H.],
Attentive Sensing for Long-Range Face Recognition,
LongRange23(613-622)
IEEE DOI 2302
Visualization, Face recognition, Conferences, Social robots, Robot vision systems, Cameras BibRef

Cornett, D.[David], Brogan, J.[Joel], Barber, N.[Nell], Aykac, D.[Deniz], Baird, S.[Seth], Burchfield, N.[Nick], Dukes, C.[Carl], Duncan, A.[Andrew], Ferrell, R.[Regina], Goddard, J.[Jim], Jager, G.[Gavin], Larson, M.[Matt], Murphy, B.[Bart], Johnson, C.[Christi], Shelley, I.[Ian], Srinivas, N.[Nisha], Stockwell, B.[Brandon], Thompson, L.[Leanne], Yohe, M.[Matt], Zhang, R.[Robert], Dolvin, S.[Scott], Santos-Villalobos, H.J.[Hector J.], Bolme, D.S.[David S.],
Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset,
LongRange23(593-602)
IEEE DOI 2302
Training, Deep learning, Image resolution, Social networking (online), Face recognition, Surveillance, Forensics BibRef

Kocabas, M.[Muhammed], Huang, C.H.P.[Chun-Hao P.], Tesch, J.[Joachim], Müller, L.[Lea], Hilliges, O.[Otmar], Black, M.J.[Michael J.],
SPEC: Seeing People in the Wild with an Estimated Camera,
ICCV21(11015-11025)
IEEE DOI 2203
Geometry, Shape, Neural networks, Estimation, Cameras, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Wood, E.[Erroll], Baltrušaitis, T.[Tadas], Hewitt, C.[Charlie], Dziadzio, S.[Sebastian], Cashman, T.J.[Thomas J.], Shotton, J.[Jamie],
Fake it till you make it: face analysis in the wild using synthetic data alone,
ICCV21(3661-3671)
IEEE DOI 2203
Training, Adaptation models, Solid modeling, Training data, Manuals, Faces, Datasets and evaluation, grouping and shape BibRef

Abed, R.[Rahma], Bahroun, S.[Sahbi], Zagrouba, E.[Ezzeddine],
Toward a Robust Shape and Texture Face Descriptor for Efficient Face Recognition in the Wild,
CAIP21(II:319-328).
Springer DOI 2112
BibRef

Yu, J.[Jun], Hao, X.L.[Xin-Long], He, P.[Peng],
Single-stage Face Detection under Extremely Low-light Conditions,
RLQ21(3516-3525)
IEEE DOI 2112
Image quality, Image color analysis, Design methodology, Brightness, Feature extraction, Face detection BibRef

Zhang, Z.Y.[Zhen-Yu], Ge, Y.[Yanhao], Chen, R.[Renwang], Tai, Y.[Ying], Yan, Y.[Yan], Yang, J.[Jian], Wang, C.J.[Cheng-Jie], Li, J.L.[Ji-Lin], Huang, F.Y.[Fei-Yue],
Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection,
CVPR21(14209-14219)
IEEE DOI 2111
Solid modeling, Adaptation models, Image resolution, Shape, Image color analysis, Face recognition BibRef

Li, B.[Bi], Xi, T.[Teng], Zhang, G.[Gang], Feng, H.C.[Hao-Cheng], Han, J.Y.[Jun-Yu], Liu, J.[Jingtuo], Ding, E.[Errui], Liu, W.Y.[Wen-Yu],
Dynamic Class Queue for Large Scale Face Recognition In the Wild,
CVPR21(3762-3771)
IEEE DOI 2111
Training, Deep learning, Costs, Codes, Face recognition, Computational modeling BibRef

Wang, H.R.[Han-Rui], Dong, X.B.[Xing-Bo], Jin, Z.[Zhe], Dugelay, J.L.[Jean-Luc], Tistarelli, M.[Massimo],
Cross-spectrum Face Recognition Using Subspace Projection Hashing,
ICPR21(615-622)
IEEE DOI 2105
Deep learning, Face recognition, Information services, Benchmark testing, Internet, Task analysis, subspace projection hashing BibRef

Martínez-Díaz, Y.[Yoanna], Méndez-Vázquez, H.[Heydi], Luevano, L.S.[Luis S.], Chang, L.[Leonardo], Gonzalez-Mendoza, M.[Miguel],
Lightweight Low-Resolution Face Recognition for Surveillance Applications,
ICPR21(5421-5428)
IEEE DOI 2105
Training, Image quality, Image recognition, Face recognition, Computational modeling, Surveillance, Benchmark testing BibRef

Ferreira, C.B.R.[Cristiane B. R.], Pedrini, H.[Helio], de Souza Alencar, W.[Wanderley], Ferreira, W.D.[William D.], Carvalho, T.P.[Thyago Peres], Sousa, N.[Naiane], Soares, F.[Fabrizzio],
Where's Wally: A Gigapixel Image Study for Face Recognition in Crowds,
ISVC20(II:386-397).
Springer DOI 2103
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Bianco, S.[Simone], Celona, L.[Luigi], Schettini, R.[Raimondo],
Who Is in the Crowd? Deep Face Analysis for Crowd Understanding,
DEEPRETAIL20(487-494).
Springer DOI 2103
BibRef

Han, X., Ji, Z., Wang, W.,
Low Resolution Facial Manipulation Detection,
VCIP20(431-434)
IEEE DOI 2102
Feature extraction, Image resolution, Videos, Degradation, Data mining, Signal resolution, Faces, Manipulation Detection, Key points-based Fusion Pooling BibRef

Roy Chowdhury, A.[Aruni], Yu, X.[Xiang], Sohn, K.[Kihyuk], Learned-Miller, E.G.[Erik G.], Chandraker, M.[Manmohan],
Improving Face Recognition by Clustering Unlabeled Faces in the Wild,
ECCV20(XXIV:119-136).
Springer DOI 2012
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Fang, H.[Han], Deng, W.H.[Wei-Hong], Zhong, Y.Y.[Yao-Yao], Hu, J.[Jiani],
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition,
ECCV20(XV:741-758).
Springer DOI 2011
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Wu, Y., Wu, Y., Gong, R., Lv, Y., Chen, K., Liang, D., Hu, X., Liu, X., Yan, J.,
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition,
CVPR20(6865-6875)
IEEE DOI 2008
Quantization (signal), Protocols, Task analysis, Face, Training, Face recognition, Acceleration BibRef

Zhong, Y., Wang, X., Zhang, S.,
Robust Partial Matching for Person Search in the Wild,
CVPR20(6826-6834)
IEEE DOI 2008
Feature extraction, Detectors, Robustness, Training, Body regions, Noise measurement, Task analysis BibRef

Zhang, Z.S.[Zhi-Shuai], Shen, W.[Wei], Qiao, S.Y.[Si-Yuan], Wang, Y.[Yan], Wang, B.[Bo], Yuille, A.L.[Alan L.],
Robust Face Detection via Learning Small Faces on Hard Images,
WACV20(1350-1359)
IEEE DOI 2006
Face, Detectors, Feature extraction, Training, Face detection, Robustness BibRef

Yu, X., Gong, Y., Jiang, N., Ye, Q., Han, Z.,
Scale Match for Tiny Person Detection,
WACV20(1246-1254)
IEEE DOI 2006
Detectors, Benchmark testing, Object detection, Face, Earth, Convolutional neural networks, Feature extraction BibRef

Mynepalli, S.C., Hu, P., Ramanan, D.,
Recognizing Tiny Faces,
RLQ19(1121-1130)
IEEE DOI 2004
face recognition, feature extraction, image representation, image resolution, object recognition, tiny faces, continuous range, Deep learning BibRef

Gong, S., Shi, Y., Jain, A.,
Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN),
RLQ19(1027-1035)
IEEE DOI 2004
face recognition, image sequences, learning (artificial intelligence), recurrent neural nets, Recurrent neural network BibRef

Subramaniam, A., Sridhar, A.N., Mittal, A.,
Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild,
DFW19(532-541)
IEEE DOI 2004
face recognition, feature extraction, learning (artificial intelligence), BibRef

Singh, M., Chawla, M., Singh, R., Vatsa, M., Chellappa, R.,
Disguised Faces in the Wild 2019,
DFW19(542-550)
IEEE DOI 2004
face recognition, learning (artificial intelligence), disguise variations, Wild 2019 competition, DFW2019 dataset, Disguised Face Recognition BibRef

Ming, X.[Xiang], Wei, F.Y.[Fang-Yun], Zhang, T.[Ting], Chen, D.[Dong], Zheng, N.N.[Nan-Ning], Wen, F.[Fang],
Group Sampling for Scale Invariant Face Detection,
PAMI(44), No. 2, February 2022, pp. 985-1001.
IEEE DOI 2201
BibRef
Earlier: A1, A2, A3, A4, A6, Only: CVPR19(3441-3451).
IEEE DOI 2002
Feature extraction, Training, Face, Detectors, Face detection, Network architecture, Object detection, sampling. BibRef

Yudin, D., Ivanov, A., Shchendrygin, M.,
Detection of a Human Head On a Low-quality Image and Its Software Implementation,
PTVSBB19(237-241).
DOI Link 1912
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Massoli, F.V.[Fabio Valerio], Amato, G.[Giuseppe], Falchi, F.[Fabrizio], Gennaro, C.[Claudio], Vairo, C.[Claudio],
Improving Multi-scale Face Recognition Using VGGFace2,
NTIAP19(21-29).
Springer DOI 1909
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Carrara, F.[Fabio], Amato, G.[Giuseppe], Falchi, F.[Fabrizio], Gennaro, C.[Claudio],
Evaluation of Continuous Image Features Learned by ODE Nets,
CIAP19(I:432-442).
Springer DOI 1909
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Das, A.[Apurba], Saha, P.[Pallavi],
Enhancing Low Quality Face Image Matching by Neurovisually Inspired Deep Learning,
CAIP19(II:544-555).
Springer DOI 1909
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Cheng, Z.Y.[Zhi-Yi], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang],
Low-Resolution Face Recognition,
ACCV18(III:605-621).
Springer DOI 1906
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Mudunuri, S.P., Sanyal, S., Biswas, S.,
GenLR-Net: Deep Framework for Very Low Resolution Face and Object Recognition with Generalization to Unseen Categories,
Biometrics18(602-60209)
IEEE DOI 1812
Image resolution, Face, Training, Object recognition, Databases, Testing, Task analysis BibRef

Yuan, Y., Zhang, Z., Li, Y., Qiang, J., Li, B., Shen, X.,
Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition,
ICPR18(922-927)
IEEE DOI 1812
Face, Face recognition, Image resolution, Correlation, Image reconstruction, Training, Transforms, face recognition, multiple resolutions BibRef

Peri, S.V., Dhall, A.,
DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild,
DFW18(25-256)
IEEE DOI 1812
Face, Task analysis, Face recognition, Feature extraction, Visualization, Training, Noise measurement BibRef

Kushwaha, V., Singh, M., Singh, R., Vatsa, M., Ratha, N., Chellappa, R.,
Disguised Faces in the Wild,
DFW18(1-18)
IEEE DOI 1812
Pattern recognition BibRef

Bansal, A., Ranjan, R., Castillo, C.D., Chellappa, R.,
Deep Features for Recognizing Disguised Faces in the Wild,
DFW18(10-106)
IEEE DOI 1812
Training, Face recognition, Pipelines, Measurement, Face detection, Feature extraction BibRef

Zhu, C., Tao, R., Luu, K., Savvides, M.,
Seeing Small Faces from Robust Anchor's Perspective,
CVPR18(5127-5136)
IEEE DOI 1812
Detectors, Face detection, Training, Feature extraction, Network architecture, Image color analysis, Lapping BibRef

Zhao, J., Cheng, Y., Xu, Y., Xiong, L., Li, J., Zhao, F., Jayashree, K., Pranata, S., Shen, S., Xing, J., Yan, S., Feng, J.,
Towards Pose Invariant Face Recognition in the Wild,
CVPR18(2207-2216)
IEEE DOI 1812
Face, Face recognition, Training, Generators, Optimization, Benchmark testing BibRef

Guo, B.H., Nixon, M.S., Carter, J.N.,
A Joint Density Based Rank-Score Fusion for Soft Biometric Recognition at a Distance,
ICPR18(3457-3462)
IEEE DOI 1812
Face, Clothing, Face recognition, Databases, Shape, Cameras, Skin, Soft biometric, recognition at different distances, rank-score fusion BibRef

Gonzalez-Sosa, E., Vera-Rodriguez, R., Hernandez-Ortega, J., Fierrez, J.,
Person Recognition at a Distance: Improving Face Recognition Through Body Static Information,
ICPR18(3439-3444)
IEEE DOI 1812
Face, Feature extraction, Face recognition, Shape, Data mining, Databases BibRef

Jiang, F.[Feng], Zhang, J.[Jie], Yan, L.P.[Li-Ping], Xia, Y.Q.[Yuan-Qing], Shan, S.G.[Shi-Guang],
A Three-Category Face Detector with Contextual Information on Finding Tiny Faces,
ICIP18(2680-2684)
IEEE DOI 1809
Face, Detectors, Face detection, Proposals, Training, Task analysis, Face recognition, Three-category classification, face detector, contextual information BibRef

Zhou, Y., Liu, D., Huang, T.,
Survey of Face Detection on Low-Quality Images,
FG18(769-773)
IEEE DOI 1806
Detectors, Face, Face detection, Feature extraction, Machine learning, Robustness, Testing, Face Detection, Low-quality BibRef

Samangouei, P., Chellappa, R., Najibi, M., Davis, L.S.,
Face-MagNet: Magnifying Feature Maps to Detect Small Faces,
WACV18(122-130)
IEEE DOI 1806
convolution, deconvolution, face recognition, feedforward neural nets, image classification, object detection, Proposals BibRef

Liu, Y.G.[Yu-Guang], Levine, M.D.[Martin D.],
Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained 'Hard Faces',
CRV17(183-190)
IEEE DOI 1804
Very small. (Far?) convolution, face recognition, feedforward neural nets, image fusion, learning (artificial intelligence), tiny faces BibRef

Kankanamge, S., Fookes, C., Sridharan, S.,
Facial analysis in the wild with LSTM networks,
ICIP17(1052-1056)
IEEE DOI 1803
Analytical models, Computational modeling, Computer architecture, Databases, Face recognition, Feature extraction, Training, ExpModel, LSTM BibRef

Hu, P., Ramanan, D.,
Finding Tiny Faces,
CVPR17(1522-1530)
IEEE DOI 1711
Context modeling, Detectors, Face recognition, Feature extraction, Image recognition, Image resolution, Training BibRef

Bai, Y.C.[Yan-Cheng], Ma, W.J.[Wen-Jing], Li, Y.C.[Yu-Cheng], Cao, L.L.[Liang-Liang], Guo, W.[Wen], Yang, L.[Luwei],
Multi-Scale Fully Convolutional Network for Fast Face Detection,
BMVC16(xx-yy).
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Bai, Y.C.[Yan-Cheng], Ghanem, B.[Bernard],
Multi-scale Fully Convolutional Network for Face Detection in the Wild,
FaceWild17(2078-2087)
IEEE DOI 1709
Computer architecture, Detectors, Face, Face detection, Feature extraction, Proposals, Training BibRef

Marcetic, D.[Darijan], Soldic, M.[Martin], Ribaric, S.[Slobodan],
Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network,
CAIP17(II: 379-390).
Springer DOI 1708
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Wang, Y.[Ya], Bao, T.L.[Tian-Long], Ding, C.H.[Chun-Hui], Zhu, M.[Ming],
Face recognition in real-world surveillance videos with deep learning method,
ICIVC17(239-243)
IEEE DOI 1708
Face, Face detection, Face recognition, Feature extraction, Machine learning, Surveillance, Videos, deep learning, face recognition, surveillance BibRef

Li, J.J.[Jun-Jie], Karmoshi, S., Zhu, M.[Ming],
Unconstrained Face Detection Based on Cascaded Convolutional Neural Networks in Surveillance Video,
ICIVC17(46-52)
IEEE DOI 1708
Databases, Face, Face detection, Feature extraction, Image color analysis, Skin, Surveillance, cascade classifier, convolutional neural network, surveillance video, unconstrained, Face, detection BibRef

Obara, K., Yoshimura, H., Nishiyama, M., Iwai, Y.,
Low-resolution person recognition using image downsampling,
MVA17(478-481)
DOI Link 1708
Cameras, Face recognition, Feature extraction, Image resolution, Mathematical model, Organizations BibRef

Haghighat, M.[Mohammad], Abdel-Mottaleb, M.[Mohamed],
Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis,
FG17(912-917)
IEEE DOI 1707
Correlation, Covariance matrices, Face, Face recognition, Image resolution, Probes, Surveillance BibRef

Marras, I.[Ioannis], Nikitidis, S.[Symeon], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja],
A Joint Discriminative Generative Model for Deformable Model Construction and Classification,
FG17(127-134)
IEEE DOI 1707
Algorithm design and analysis, Computational modeling, Deformable models, Face, Feature extraction, Optimization, Shape BibRef

Yang, S., Wiliem, A., Lovell, B.C.,
To face or not to face: Towards reducing false positive of face detection,
ICVNZ16(1-6)
IEEE DOI 1701
Benchmark testing BibRef

San, W.Y.K., Chen, S.K.[Shao-Kang], Wiliem, A., Di, B., Lovell, B.C.[Brian C.],
How do you develop a face detector for the unconstrained environment?,
ICVNZ16(1-6)
IEEE DOI 1701
Benchmark testing BibRef

Zhong, Y., Sullivan, J., Li, H.,
Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations,
ICPR16(2264-2269)
IEEE DOI 1705
BibRef
Earlier:
Leveraging mid-level deep representations for predicting face attributes in the wild,
ICIP16(3239-3243)
IEEE DOI 1610
Error analysis, Face, Face recognition, Feature extraction, Mouth, Training. BibRef

Verma, S., Mittal, P., Vatsa, M., Singh, R.,
At-a-distance person recognition via combining ocular features,
ICIP16(3131-3135)
IEEE DOI 1610
Databases BibRef

Sengupta, S., Chen, J.C.[Jun-Cheng], Castillo, C., Patel, V.M.[Vishal M.], Chellappa, R.[Rama], Jacobs, D.W.,
Frontal to profile face verification in the wild,
WACV16(1-9)
IEEE DOI 1606
Face BibRef

Santhanam, V., Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Generalized Deep Image to Image Regression,
CVPR17(5395-5405)
IEEE DOI 1711
Computer architecture, Convolution, Face, Feature extraction, Image color analysis, Noise, reduction BibRef

Li, A.[Ang], Morariu, V.I.[Vlad I.], Davis, L.S.[Larry S.],
Selective Encoding for Recognizing Unreliably Localized Faces,
ICCV15(3613-3621)
IEEE DOI 1602
Authentication BibRef

Burgos-Artizzu, X.P.[Xavier P.], Zepeda, J., Clerc, F.L., Perez, P.,
Pose and Expression-Coherent Face Recovery in the Wild,
RSL-CV15(877-885)
IEEE DOI 1602
Dictionaries;Encoding;Estimation;Face;Shape;Training BibRef

Zhu, X.Y.[Xiang-Yu], Lei, Z.[Zhen], Yan, J.J.[Jun-Jie], Yi, D.[Dong], Li, S.Z.[Stan Z.],
High-fidelity Pose and Expression Normalization for face recognition in the wild,
CVPR15(787-796)
IEEE DOI 1510
BibRef

Yang, B.[Bin], Yan, J.J.[Jun-Jie], Lei, Z.[Zhen], Li, S.Z.,
Fine-grained evaluation on face detection in the wild,
FG15(1-7)
IEEE DOI 1508
Internet BibRef

Peng, X.[Xi], Huang, J.Z.[Jun-Zhou], Hu, Q.[Qiong], Zhang, S.T.[Shao-Ting], Metaxas, D.N.,
Three-dimensional head pose estimation in-the-wild,
FG15(1-6)
IEEE DOI 1508
image representation BibRef

El-Barkouky, A.[Ahmed], Shalaby, A.[Ahmed], Mahmoud, A.[Ali], Farag, A.A.[Aly A.],
Selective part models for detecting partially occluded faces in the wild,
ICIP14(268-272)
IEEE DOI 1502
Barium; FDDB; Face Detection; Part models; Partial occlusion; SPM BibRef

Bhat, K.K.S., Kannala, J.H.[Ju-Ho], Heikkilä, J.[Janne],
3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB,
SCIA15(79-91).
Springer DOI 1506
BibRef

Ylioinas, J.[Juha], Kannala, J.H.[Ju-Ho], Hadid, A.[Abdenour], Pietikäinen, M.[Matti],
Unsupervised learning of overcomplete face descriptors,
Biometrics15(75-83)
IEEE DOI 1510
BibRef
And:
Face Recognition Using Smoothed High-Dimensional Representation,
SCIA15(516-529).
Springer DOI 1506
BibRef
Earlier: A1, A3, A2, A4:
An In-depth Examination of Local Binary Descriptors in Unconstrained Face Recognition,
ICPR14(4471-4476)
IEEE DOI 1412
Benchmark testing BibRef

Barr, J.R.[Jeremiah R.], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
The effectiveness of face detection algorithms in unconstrained crowd scenes,
WACV14(1020-1027)
IEEE DOI 1406
Approximation algorithms BibRef

Omri, F.[Faten], Foufou, S.[Sebti], Abidi, M.[Mongi],
NIR and Visible Image Fusion for Improving Face Recognition at Long Distance,
ICISP14(549-557).
Springer DOI 1406
BibRef

Qiu, J.Q.[Jie-Qiong], Zhang, Y.[Ya], Sun, J.[Jun],
Face recogntion in open world environment,
VCIP13(1-6)
IEEE DOI 1402
face recognition BibRef

Herrmann, C.[Christian], Beyerer, J.[Jurgen],
Maximizing face recognition performance for video data under time constraints by using a cascade,
AVSS14(181-186)
IEEE DOI 1411
Databases BibRef

Herrmann, C.[Christian], Willersinn, D.[Dieter], Beyerer, J.[Jürgen],
Residual vs. Inception vs. Classical Networks for Low-Resolution Face Recognition,
SCIA17(II: 377-388).
Springer DOI 1706
BibRef
Earlier:
Low-Quality Video Face Recognition with Deep Networks and Polygonal Chain Distance,
DICTA16(1-7)
IEEE DOI 1701
BibRef
And:
Low-resolution Convolutional Neural Networks for video face recognition,
AVSS16(221-227)
IEEE DOI 1611
Face BibRef

Herrmann, C.,
Extending a local matching face recognition approach to low-resolution video,
AVSS13(460-465)
IEEE DOI 1311
face recognition BibRef

Masi, I.[Iacopo], Lisanti, G.[Giuseppe], Bagdanov, A.D.[Andrew D.], Pala, P.[Pietro], del Bimbo, A.[Alberto],
Using 3D Models to Recognize 2D Faces in the Wild,
SISM13(775-780)
IEEE DOI 1309
3D Models;Face Recognition;PTZ Camera BibRef

Tan, C.W.[Chun-Wei], Kumar, A.[Ajay],
Human identification from at-a-distance images by simultaneously exploiting iris and periocular features,
ICPR12(553-556).
WWW Link. 1302
BibRef

Rudrani, S.[Shiva], Das, S.[Sukhendu],
Face Recognition on Low Quality Surveillance Images, by Compensating Degradation,
ICIAR11(II: 212-221).
Springer DOI 1106
BibRef

Mostafa, E.A.[Eslam A.], Ali, A.A.[Asem A.], Alajlan, N.[Naif], Farag, A.A.[Aly A.],
Pose Invariant Approach for Face Recognition at Distance,
ECCV12(VI: 15-28).
Springer DOI 1210
BibRef

El-Barkouky, A.[Ahmed], Rara, H.[Ham], Farag, A.A.[Aly A.], Womble, P.[Phil],
Face detection at a distance using saliency maps,
Biometrics12(31-36).
IEEE DOI 1207
BibRef

Rara, H.M.[Ham M.], Ali, A.A.[Asem A.], Elhabian, S.Y.[Shireen Y.], Starr, T.L.[Thomas L.], Farag, A.A.[Aly A.],
Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction,
ICPR10(1221-1224).
IEEE DOI 1008
BibRef

Rara, H.M.[Ham M.], Elhabian, S.Y.[Shireen Y.], Ali, A.A.[Asem A.], Gault, T.[Travis], Miller, M.[Mike], Starr, T.L.[Thomas L.], Farag, A.A.[Aly A.],
A Framework for Long Distance Face Recognition Using Dense and Sparse Stereo Reconstruction,
ISVC09(I: 774-783).
Springer DOI 0911
BibRef

Abdelrahman, M.[Mostafa], Ali, A.M.[Asem M.], Elhabian, S.Y.[Shireen Y.], Rara, H.M.[Ham M.], Farag, A.A.[Aly A.],
A passive stereo system for 3D human face reconstruction and recognition at a distance,
Biometrics12(17-22).
IEEE DOI 1207
BibRef

Rara, H.M.[Ham M.], Elhabian, S.Y.[Shireen Y.], Ali, A.M.[Asem M.], Miller, M.[Mike], Starr, T.L.[Thomas L.], Farag, A.A.[Aly A.],
Distant face recognition based on sparse-stereo reconstruction,
ICIP09(4141-4144).
IEEE DOI 0911
BibRef
And:
Face recognition at-a-distance based on sparse-stereo reconstruction,
Biometrics09(27-32).
IEEE DOI 0906
BibRef

Tome, P.[Pedro], Fierrez-Aguilar, J.[Julian], Fairhurst, M.C., Ortega-Garcia, J.[Javier],
Acquisition Scenario Analysis for Face Recognition at a Distance,
ISVC10(I: 461-468).
Springer DOI 1011
BibRef

Tome, P.[Pedro], Fierrez-Aguilar, J.[Julian], Alonso-Fernandez, F.[Fernando], Ortega-Garcia, J.[Javier],
Scenario-based score fusion for face recognition at a distance,
Biometrics10(67-73).
IEEE DOI 1006
BibRef

Liu, R.[Rong], Gao, X.F.[Xiu-Feng], Chu, R.F.[Ru-Feng], Zhu, X.X.[Xiang-Xin], Li, S.Z.[Stan Z.],
Tracking and Recognition of Multiple Faces at Distances,
ICB07(513-522).
Springer DOI 0708
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Recognition Systems Using Neural Networks, Learning .


Last update:Mar 16, 2024 at 20:36:19