MAFL: Multi-Attribute Facial Landmark,
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HTML Version.
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See also Learning Deep Representation for Face Alignment with Auxiliary Attributes.
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AFGR96(218-223).
IEEE DOI
9610
BibRef
Earlier:
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ICPR94(B:55-60).
IEEE DOI
BibRef
Takács, B.[Barnabás],
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Elsevier DOI
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BibRef
And:
Fast Searching of Digital Face Libraries Using Binary Image Metrics,
ICPR98(Vol II: 1235-1237).
IEEE DOI
9808
BibRef
And:
Face Recognition Using Binary Image Metrics,
AFGR98(294-299).
IEEE DOI
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Fasel, I.R.[Ian R.],
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A generative framework for real time object detection and
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CVIU(98), No. 1, April 2005, pp. 182-210.
Elsevier DOI
0412
To find eyes and blinks.
BibRef
Fasel, I.R.,
Bartlett, M.S.,
Movellan, J.R.,
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AFGR02(231-235).
IEEE DOI
0206
BibRef
Albiol, A.[Alberto],
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Sastre, J.[Jorge],
Albiol, A.[Antonio],
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PRL(29), No. 10, 15 July 2008, pp. 1537-1543.
Elsevier DOI
0711
Face recognition; EBGM; SIFT; HOG; Local image descriptors
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See also Precise eye localization using HOG descriptors.
BibRef
Monzo, D.[David],
Albiol, A.[Alberto],
Albiol, A.[Antonio],
Mossi, J.M.[Jose M.],
Color HOG-EBGM for face recognition,
ICIP11(785-788).
IEEE DOI
1201
BibRef
Earlier:
A Comparative Study of Facial Landmark Localization Methods for Face
Recognition Using HOG descriptors,
ICPR10(1330-1333).
IEEE DOI
1008
BibRef
Monzo, D.[David],
Albiol, A.[Alberto],
Sastre, J.[Jorge],
Albiol, A.[Antonio],
HOG-EBGM vs. Gabor-EBGM,
ICIP08(1636-1639).
IEEE DOI
0810
BibRef
Zhao, X.W.[Xiao-Wei],
Chai, X.J.[Xiu-Juan],
Niu, Z.H.[Zhi-Heng],
Heng, C.[Cherkeng],
Shan, S.G.[Shi-Guang],
Context modeling for facial landmark detection based on Non-Adjacent
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IVC(30), No. 3, March 2012, pp. 136-146.
Elsevier DOI
1204
BibRef
Earlier:
Context constrained facial landmark localization based on discontinuous
Haar-like feature,
FG11(673-678).
IEEE DOI
1103
Context modeling; Face detection; Facial landmark detection; NAR
Haar-like feature; Co-occurrence
BibRef
Zhao, X.W.[Xiao-Wei],
Kim, T.K.[Tae-Kyun],
Luo, W.H.[Wen-Han],
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1409
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Zhao, X.W.[Xiao-Wei],
Shan, S.G.[Shi-Guang],
Chai, X.J.[Xiu-Juan],
Chen, X.L.[Xi-Lin],
Cascaded Shape Space Pruning for Robust Facial Landmark Detection,
ICCV13(1033-1040)
IEEE DOI
1403
BibRef
Zhao, X.W.[Xiao-Wei],
Chai, X.J.[Xiu-Juan],
Shan, S.G.[Shi-Guang],
Joint Face Alignment: Rescue Bad Alignments with Good Ones by
Regularized Re-fitting,
ECCV12(II: 616-630).
Springer DOI
1210
BibRef
Hong, S.J.[Sung-Jin],
Khim, S.R.[Sa-Rang],
Rhee, P.K.[Phill Kyu],
Efficient facial landmark localization using spatial-contextual
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JVCIR(25), No. 6, 2014, pp. 1366-1377.
Elsevier DOI
1407
Facial landmark localization
BibRef
Feng, Z.H.[Zhen-Hua],
Huber, P.,
Kittler, J.V.,
Christmas, W.J.,
Wu, X.J.[Xiao-Jun],
Random Cascaded-Regression Copse for Robust Facial Landmark Detection,
SPLetters(22), No. 1, January 2015, pp. 76-80.
IEEE DOI
1410
face recognition
BibRef
Feng, Z.H.[Zhen-Hua],
Hu, G.S.[Guo-Sheng],
Kittler, J.V.,
Christmas, W.J.,
Wu, X.J.[Xiao-Jun],
Cascaded Collaborative Regression for Robust Facial Landmark
Detection Trained Using a Mixture of Synthetic and Real Images With
Dynamic Weighting,
IP(24), No. 11, November 2015, pp. 3425-3440.
IEEE DOI
1509
face recognition
BibRef
Feng, Z.H.[Zhen-Hua],
Kittler, J.V.,
Christmas, W.J.,
Huber, P.,
Wu, X.J.[Xiao-Jun],
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting
Training Data Augmentation and Fuzzy-Set Sample Weighting,
CVPR17(3681-3690)
IEEE DOI
1711
Feature extraction, Shape, Solid modeling,
Training, Training data, Two,
dimensional, displays
BibRef
Martinez, B.[Brais],
Pantic, M.[Maja],
Facial landmarking for in-the-wild images with local inference based
on global appearance,
IVC(36), No. 1, 2015, pp. 40-50.
Elsevier DOI
1504
Facial landmarking
BibRef
Luo, C.W.[Chang-Wei],
Wang, Z.F.[Zeng-Fu],
Wang, S.B.[Shao-Biao],
Zhang, J.Y.[Ju-Yong],
Yu, J.[Jun],
Locating Facial Landmarks Using Probabilistic Random Forest,
SPLetters(22), No. 12, December 2015, pp. 2324-2328.
IEEE DOI
1512
face recognition
BibRef
Zhang, Z.P.[Zhan-Peng],
Luo, P.[Ping],
Loy, C.C.[Chen Change],
Tang, X.[Xiaoou],
Learning Deep Representation for Face Alignment with Auxiliary
Attributes,
PAMI(38), No. 5, May 2016, pp. 918-930.
IEEE DOI
1604
BibRef
And:
Joint Face Representation Adaptation and Clustering in Videos,
ECCV16(III: 236-251).
Springer DOI
1611
BibRef
Earlier:
Learning Social Relation Traits from Face Images,
ICCV15(3631-3639)
IEEE DOI
1602
BibRef
Earlier:
Facial Landmark Detection by Deep Multi-task Learning,
ECCV14(VI: 94-108).
Springer DOI
1408
convergence.
Cognition, Face, Face recognition, Psychology; Videos
MAFL Dataset:
See also MAFL: Multi-Attribute Facial Landmark.
BibRef
Zhang, S.,
Yang, H.,
Yin, Z.P.,
Transferred Deep Convolutional Neural Network Features for Extensive
Facial Landmark Localization,
SPLetters(23), No. 4, April 2016, pp. 478-482.
IEEE DOI
1604
Convolution
BibRef
Bian, P.[Peng],
Xie, Z.N.[Zheng-Nan],
Jin, Y.[Yi],
Multi-task feature learning-based improved supervised descent method
for facial landmark detection,
SIViP(12), No. 1, January 2018, pp. 17-24.
WWW Link.
1801
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Zhang, Z.P.[Zhan-Peng],
Luo, P.[Ping],
Loy, C.C.[Chen Change],
Tang, X.[Xiaoou],
From Facial Expression Recognition to Interpersonal Relation Prediction,
IJCV(126), No. 5, May 2018, pp. 550-569.
Springer DOI
1804
BibRef
Yang, S.[Shuo],
Luo, P.[Ping],
Loy, C.C.[Chen Change],
Tang, X.[Xiaoou],
Faceness-Net: Face Detection through Deep Facial Part Responses,
PAMI(40), No. 8, August 2018, pp. 1845-1859.
IEEE DOI
1807
Detectors, Face, Face detection, Mouth, Neural networks, Proposals,
Training, Face detection, convolutional neural network, deep learning
BibRef
Earlier:
WIDER FACE: A Face Detection Benchmark,
CVPR16(5525-5533)
IEEE DOI
1612
Dataset, Face Detection.
BibRef
Earlier:
From Facial Parts Responses to Face Detection:
A Deep Learning Approach,
ICCV15(3676-3684)
IEEE DOI
1602
Detectors; Face; Face detection; Hair; Mouth; Nose; Proposals
BibRef
Sun, Y.[Yi],
Wang, X.G.[Xiao-Gang],
Tang, X.[Xiaoou],
Hybrid Deep Learning for Face Verification,
PAMI(38), No. 10, October 2016, pp. 1997-2009.
IEEE DOI
1609
BibRef
And:
Sparsifying Neural Network Connections for Face Recognition,
CVPR16(4856-4864)
IEEE DOI
1612
BibRef
Earlier:
ICCV13(1489-1496)
IEEE DOI
1403
BibRef
And:
Deep Learning Face Representation from Predicting 10,000 Classes,
CVPR14(1891-1898)
IEEE DOI
1409
BibRef
And:
Deep Convolutional Network Cascade for Facial Point Detection,
CVPR13(3476-3483)
IEEE DOI
1309
Computational modeling.
deep learning; face verification; relational visual features.
Convolutional Network; Facial Point Detection
BibRef
Zhu, Z.Y.[Zhen-Yao],
Luo, P.[Ping],
Wang, X.G.[Xiao-Gang],
Tang, X.[Xiaoou],
Deep Learning Identity-Preserving Face Space,
ICCV13(113-120)
IEEE DOI
1403
deep learning; face recognition
BibRef
Liu, Y.F.[Yan-Fei],
Zhou, X.D.[Xiang-Dong],
Li, Y.Q.[Yuan-Qian],
Shao, X.H.[Xiao-Hu],
Zhou, X.[Xi],
Robust facial landmark detection using mixture of discriminative
visibility-aware models,
IET-IPR(10), No. 10, 2016, pp. 733-741.
DOI Link
1610
face recognition
BibRef
Huang, K.K.[Ke-Kun],
Dai, D.Q.[Dao-Qing],
Ren, C.X.[Chuan-Xian],
Yu, Y.F.[Yu-Feng],
Lai, Z.R.[Zhao-Rong],
Fusing landmark-based features at kernel level for face recognition,
PR(63), No. 1, 2017, pp. 406-415.
Elsevier DOI
1612
Face recognition
BibRef
Fan, X.,
Liu, R.,
Luo, Z.,
Li, Y.,
Feng, Y.,
Explicit Shape Regression With Characteristic Number for Facial
Landmark Localization,
MultMed(20), No. 3, March 2018, pp. 567-579.
IEEE DOI
1802
Active appearance model, Geometry, Multimedia communication,
Robustness, Shape, Training, Vegetation,
regression learning
BibRef
Chrysos, G.G.[Grigorios G.],
Antonakos, E.[Epameinondas],
Snape, P.[Patrick],
Asthana, A.[Akshay],
Zafeiriou, S.P.[Stefanos P.],
A Comprehensive Performance Evaluation of Deformable Face Tracking
'In-the-Wild',
IJCV(126), No. 2-4, April 2018, pp. 198-232.
Springer DOI
1804
BibRef
Earlier: A1, A2, A5, A3, Only:
Offline Deformable Face Tracking in Arbitrary Videos,
FaceWild15(954-962)
IEEE DOI
1602
Deformable models
BibRef
Chrysos, G.G.[Grigorios G.],
Zafeiriou, S.P.[Stefanos P.],
PD2T: Person-Specific Detection, Deformable Tracking,
PAMI(40), No. 11, November 2018, pp. 2555-2568.
IEEE DOI
1810
Pipelines, Animals, Adaptation models, Shape, Computational modeling,
Strain, Deformable models, adaptive tracking,
long-term tracking
BibRef
Chrysos, G.G.[Grigorios G.],
Antonakos, E.[Epameinondas],
Zafeiriou, S.P.[Stefanos P.],
IPST: Incremental Pictorial Structures for Model-Free Tracking of
Deformable Objects,
IP(27), No. 7, July 2018, pp. 3529-3540.
IEEE DOI
1805
Adaptation models, Computational modeling, Deformable models,
Principal component analysis, Shape, Target tracking,
pictorial structures
BibRef
Shen, J.,
Zafeiriou, S.P.[Stefanos P.],
Chrysos, G.G.,
Kossaifi, J.,
Tzimiropoulos, G.[Georgios],
Pantic, M.[Maja],
The First Facial Landmark Tracking in-the-Wild Challenge:
Benchmark and Results,
FaceWild15(1003-1011)
IEEE DOI
1602
Benchmark testing. The 300-VW test. Overview of the workshop.
BibRef
Zafeiriou, S.P.[Stefanos P.],
Trigeorgis, G.[George],
Chrysos, G.[Grigorios],
Deng, J.K.[Jian-Kang],
Shen, J.[Jie],
The Menpo Facial Landmark Localisation Challenge:
A Step Towards the Solution,
FaceWild17(2116-2125)
IEEE DOI
1709
Benchmark testing, Databases, Face, Machine learning, Measurement,
Shape, Training
BibRef
Zafeiriou, S.P.,
Chrysos, G.G.,
Roussos, A.,
Ververas, E.,
Deng, J.,
Trigeorgis, G.,
The 3D Menpo Facial Landmark Tracking Challenge,
FaceWild300-17(2503-2511)
IEEE DOI
1802
Cameras, Face, Shape, Solid modeling,
Videos
BibRef
Sagonas, C.[Christos],
Tzimiropoulos, G.[Georgios],
Zafeiriou, S.P.[Stefanos P.],
Pantic, M.[Maja],
A Semi-automatic Methodology for Facial Landmark Annotation,
AMFG13(896-903)
IEEE DOI
1309
Face analysis Facial point detection
BibRef
Zeng, J.,
Liu, S.,
Li, X.,
Mahdi, D.A.,
Wu, F.,
Wang, G.,
Deep Context-Sensitive Facial Landmark Detection With Tree-Structured
Modeling,
IP(27), No. 5, May 2018, pp. 2096-2107.
IEEE DOI
1804
face recognition, feature extraction,
learning (artificial intelligence), regression analysis,
tree-structured modeling
BibRef
Lai, H.,
Xiao, S.,
Pan, Y.,
Cui, Z.,
Feng, J.,
Xu, C.,
Yin, J.,
Yan, S.,
Deep Recurrent Regression for Facial Landmark Detection,
CirSysVideo(28), No. 5, May 2018, pp. 1144-1157.
IEEE DOI
1805
Face, Feature extraction, Image resolution,
Pipelines, Shape, Visualization, Cascaded regression,
shape-indexed features
BibRef
Wu, Y.H.[Yu-Hang],
Shah, S.K.[Shishir K.],
Kakadiaris, I.A.[Ioannis A.],
GoDP: Globally Optimized Dual Pathway deep network architecture for
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IVC(73), 2018, pp. 1-16.
Elsevier DOI
1805
Deep learning, Facial landmark localization, Face alignment, Face recognition
BibRef
Hsu, G.S.J.[Gee-Sern Jison],
Ambikapathi, A.[Arul_Murugan],
Chung, S.L.[Sheng-Luen],
Shie, H.C.[Hung-Cheng],
Robust cross-pose face recognition using landmark oriented depth
warping,
JVCIR(53), 2018, pp. 273-280.
Elsevier DOI
1805
Face recognition, Cross-pose, Facial landmarks, Depth warping,
Sparse reconstruction, RTSM, PIE and Multi-PIE database
BibRef
Li, C.,
Gunther, M.,
Boult, T.E.,
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed
Spatial Eclipse Clustering,
WACV18(131-140)
IEEE DOI
1806
data analysis, face recognition, feature extraction,
learning (artificial intelligence), pattern clustering,
Task analysis
BibRef
Perrot, R.[Romuald],
Bourdon, P.[Pascal],
Helbert, D.[David],
Sampling strategies for performance improvement in cascaded face
regression,
JVCIR(55), 2018, pp. 841-852.
Elsevier DOI
1809
Face landmarking, Regression, Sampling, Data augmentation
BibRef
Wu, Y.[Yue],
Hassner, T.[Tal],
Kim, K.G.[Kang-Geon],
Medioni, G.G.[Gérard G.],
Natarajan, P.[Prem],
Facial Landmark Detection with Tweaked Convolutional Neural Networks,
PAMI(40), No. 12, December 2018, pp. 3067-3074.
IEEE DOI
1811
Face recognition, Neural networks, Feature extraction,
Magnetic heads, Training data, Gesture recognition,
Neural nets
BibRef
Hsu, G.,
Shie, H.,
Hsieh, C.,
Chan, J.,
Fast Landmark Localization With 3D Component Reconstruction and CNN
for Cross-Pose Recognition,
CirSysVideo(28), No. 11, November 2018, pp. 3194-3207.
IEEE DOI
1811
Face, Feature extraction,
Image reconstruction, Face recognition,
face recognition
BibRef
Ranjan, R.[Rajeev],
Patel, V.M.[Vishal M.],
Chellappa, R.[Rama],
HyperFace: A Deep Multi-Task Learning Framework for Face Detection,
Landmark Localization, Pose Estimation, and Gender Recognition,
PAMI(41), No. 1, January 2019, pp. 121-135.
IEEE DOI
1812
Face, Face detection, Pose estimation, Face recognition,
Feature extraction, Face detection, landmarks localization,
multi-task learning
BibRef
Wu, Y.[Yue],
Ji, Q.A.[Qi-Ang],
Facial Landmark Detection: A Literature Survey,
IJCV(127), No. 2, February 2019, pp. 115-142.
Springer DOI
1902
Survey, Facial Landmarks.
BibRef
Feng, Z.,
Kittler, J.V.,
Wu, X.,
Mining Hard Augmented Samples for Robust Facial Landmark Localization
With CNNs,
SPLetters(26), No. 3, March 2019, pp. 450-454.
IEEE DOI
1903
convolutional neural nets, data mining, face recognition,
learning (artificial intelligence), regression analysis,
hard augmented example mining
BibRef
Park, J.K.[Je-Kang],
Kang, D.J.[Dong-Joong],
Unified convolutional neural network for direct facial keypoints
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VC(35), No. 11, November 2018, pp. 1615-1626.
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Manit, J.[Jirapong],
Preuße, L.[Luise],
Schweikard, A.[Achim],
Ernst, F.[Floris],
Human forehead recognition: a novel biometric modality based on
near-infrared laser backscattering feature image using deep transfer
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IET-Bio(9), No. 1, January 2020, pp. 31-37.
DOI Link
2001
BibRef
Lee, H.J.,
Kim, S.T.,
Lee, H.,
Ro, Y.M.,
Lightweight and Effective Facial Landmark Detection using Adversarial
Learning with Face Geometric Map Generative Network,
CirSysVideo(30), No. 3, March 2020, pp. 771-780.
IEEE DOI
2003
Face, Generators, Shape, Geometry, Task analysis, Decoding,
Facial landmark detection, face geometric map
BibRef
Hannane, R.[Rachida],
Elboushaki, A.[Abdessamad],
Afdel, K.[Karim],
A divide-and-conquer strategy for facial landmark detection using
dual-task CNN architecture,
PR(107), 2020, pp. 107504.
Elsevier DOI
2008
Facial landmark detection, Convolutional neural network,
Face landmark modeling, Hierarchical divider, Cascade detector
BibRef
Valle, R.[Roberto],
Buenaposada, J.M.[José M.],
Baumela, L.[Luis],
Cascade of encoder-decoder CNNs with learned coordinates regressor
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PRL(136), 2020, pp. 326-332.
Elsevier DOI
2008
Face alignment, Facial landmark detection,
Cascaded shape regression, Heatmap regression,
BibRef
Perrot, R.[Romuald],
Bourdon, P.[Pascal],
Helbert, D.[David],
Implementing cascaded regression tree-based face landmarking:
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IVC(102), 2020, pp. 103976.
Elsevier DOI
2010
Face landmarking, Cascaded regression, Regression trees, Temporal tracking
BibRef
Mahpod, S.[Shahar],
Das, R.[Rig],
Maiorana, E.[Emanuele],
Keller, Y.[Yosi],
Campisi, P.[Patrizio],
Facial landmarks localization using cascaded neural networks,
CVIU(205), 2021, pp. 103171.
Elsevier DOI
2103
Face alignment, Facial landmark localization,
Convolutional neural networks, Deep cascaded neural networks
BibRef
Zou, X.[Xu],
Xiao, P.[Peng],
Wang, J.H.[Jian-Hui],
Yan, L.X.[Lu-Xin],
Zhong, S.[Sheng],
Wu, Y.[Ying],
Towards Unconstrained Facial Landmark Detection Robust to Diverse
Cropping Manners,
CirSysVideo(31), No. 5, 2021, pp. 2070-2075.
IEEE DOI
2105
BibRef
Yan, Y.Z.[Yong-Zhe],
Duffner, S.[Stefan],
Phutane, P.[Priyanka],
Berthelier, A.[Anthony],
Blanc, C.[Christophe],
Garcia, C.[Christophe],
Chateau, T.[Thierry],
2D Wasserstein loss for robust facial landmark detection,
PR(116), 2021, pp. 107945.
Elsevier DOI
2106
Facial landmark detection, Face alignment, Heatmap regression,
Wasserstein distance
BibRef
Jin, H.B.[Hai-Bo],
Liao, S.C.[Sheng-Cai],
Shao, L.[Ling],
Pixel-in-Pixel Net:
Towards Efficient Facial Landmark Detection in the Wild,
IJCV(129), No. 12, December 2021, pp. 3174-3194.
Springer DOI
2111
BibRef
Chen, X.Y.[Xiao-Yang],
Lian, C.F.[Chun-Feng],
Deng, H.H.[Hannah H.],
Kuang, T.S.[Tian-Shu],
Lin, H.Y.[Hung-Ying],
Xiao, D.Q.[De-Qiang],
Gateno, J.[Jaime],
Shen, D.G.[Ding-Gang],
Xia, J.J.[James J.],
Yap, P.T.[Pew-Thian],
Fast and Accurate Craniomaxillofacial Landmark Detection via 3D
Faster R-CNN,
MedImg(40), No. 12, December 2021, pp. 3867-3878.
IEEE DOI
2112
Shape, Object detection, Space heating,
Surgery, Proposals, Detectors, Landmark detection, 3D faster R-CNN, CMF
BibRef
Sadiq, M.[Muhammad],
Shi, D.M.[Da-Ming],
Attentive occlusion-adaptive deep network for facial landmark
detection,
PR(125), 2022, pp. 108510.
Elsevier DOI
2203
Facial landmarks detection, Channel-wise attention,
Spatial attention, Deep learning, Face alignment
BibRef
Zhu, M.[Meilu],
Shi, D.M.[Da-Ming],
Zheng, M.J.[Ming-Jie],
Sadiq, M.[Muhammad],
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks,
CVPR19(3481-3491).
IEEE DOI
2002
BibRef
Lang, Y.[Yankun],
Lian, C.F.[Chun-Feng],
Xiao, D.Q.[De-Qiang],
Deng, H.[Hannah],
Thung, K.H.[Kim-Han],
Yuan, P.[Peng],
Gateno, J.[Jaime],
Kuang, T.S.[Tian-Shu],
Alfi, D.M.[David M.],
Wang, L.[Li],
Shen, D.G.[Ding-Gang],
Xia, J.J.[James J.],
Yap, P.T.[Pew-Thian],
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D
Mask R-CNN and Local Dependency Learning,
MedImg(41), No. 10, October 2022, pp. 2856-2866.
IEEE DOI
2210
Proposals, Location awareness, Surgery, Biomedical imaging,
Task analysis, Feature extraction, Mask R-CNN
BibRef
Wood, E.[Erroll],
Baltruaitis, T.[Tadas],
Hewitt, C.[Charlie],
Johnson, M.[Matthew],
Shen, J.J.[Jing-Jing],
Milosavljevic, N.[Nikola],
Wilde, D.[Daniel],
Garbin, S.[Stephan],
Sharp, T.[Toby],
Stojiljkovic, I.[Ivan],
Cashman, T.[Tom],
Valentin, J.[Julien],
3D Face Reconstruction with Dense Landmarks,
ECCV22(XIII:160-177).
Springer DOI
2211
BibRef
Wan, J.[Jun],
Liu, J.[Jun],
Zhou, J.[Jie],
Lai, Z.H.[Zhi-Hui],
Shen, L.L.[Lin-Lin],
Sun, H.[Hang],
Xiong, P.[Ping],
Min, W.W.[Wen-Wen],
Precise Facial Landmark Detection by Reference Heatmap Transformer,
IP(32), 2023, pp. 1966-1977.
IEEE DOI
2304
Heating systems, Feature extraction, Faces, Shape, Transformers,
Heat transfer, Face recognition, Heatmap regression, large pose
BibRef
Wan, J.[Jun],
Liu, H.[He],
Wu, Y.[Yujia],
Lai, Z.H.[Zhi-Hui],
Min, W.W.[Wen-Wen],
Liu, J.[Jun],
Precise facial landmark detection by Dynamic Semantic Aggregation
Transformer,
PR(156), 2024, pp. 110827.
Elsevier DOI Code:
WWW Link.
2408
Facial landmark detection, Dynamic network,
Multi-scale feature, Heavy occlusions, Heatmap regression
BibRef
Wan, J.[Jun],
Xi, H.[Hui],
Zhou, J.[Jie],
Lai, Z.H.[Zhi-Hui],
Pedrycz, W.[Witold],
Wang, X.[Xu],
Sun, H.[Hang],
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose
Attention Network,
Cyber(53), No. 6, June 2023, pp. 3546-3560.
IEEE DOI
2305
Faces, Heating systems, Shape, Task analysis, Feature extraction,
Linear programming, Computational modeling, shape constraints
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Belmonte, R.[Romain],
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IEEE DOI
2306
Frequency locked loops, Face recognition, Head, Faces,
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convolutional neural nets, face recognition
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As in Traditional Chinese Medicine.
biometric applications, face biometrics
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image processing, unsupervised learning
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2311
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2411
Facial landmark localization, Face alignment,
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2203
Training, Annotations, Perturbation methods,
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2411
Rotation-invariant face detection, Polar transformation,
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2410
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CVPR24(244-255)
IEEE DOI
2410
Image recognition, Face recognition, Computational modeling,
Transforms, Throughput, Robustness, Face Recognition,
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Sun, Z.L.[Zhong-Lin],
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CVPR24(1639-1649)
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2410
Training, Adaptation models, Codes, Accuracy, Face recognition,
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IEEE DOI
2410
Heating systems, Representation learning, Visualization,
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FG24(1-10)
IEEE DOI
2408
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FG24(01-09)
IEEE DOI
2408
Accuracy, Image color analysis, Face recognition,
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Facial Landmark Identification and Data Preparation Can Significantly
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FG24(1-7)
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2408
Location awareness, Pediatrics, Tongue, Mouth, Morphology,
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2309
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STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection,
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IEEE DOI
2309
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3D-aware Facial Landmark Detection via Multi-view Consistent Training
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Artfacepoints: High-resolution Facial Landmark Detection in Paintings
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2304
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Real-Time Face Alignment in Degraded Conditions,
FG23(1-8)
IEEE DOI
2303
Location awareness, Learning systems, Face recognition, Estimation,
Crops, Nose, Mouth
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Wu, W.[Wenyan],
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Zhou, Q.[Qiang],
SRL: Separation-and-Recombination Learning for Video Facial Landmark
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FG21(1-8)
IEEE DOI
2303
Training, Codes, Face recognition, Supervised learning,
Training data, Prediction methods
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Sha, Y.Y.[Yu-Yang],
Efficient Facial Landmark Detector by Knowledge Distillation,
FG21(1-8)
IEEE DOI
2303
Knowledge engineering, Heating systems, Computational modeling,
Face recognition, Neural networks, Detectors, Gesture recognition
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Sha, Y.Y.[Yu-Yang],
Towards Occlusion Robust Facial Landmark Detector,
FG21(1-8)
IEEE DOI
2303
Location awareness, Sensitivity, Face recognition, Pose estimation,
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Li, H.[Hui],
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Towards Accurate Facial Landmark Detection via Cascaded Transformers,
CVPR22(4166-4175)
IEEE DOI
2210
Pose estimation, Benchmark testing, Predictive models,
Feature extraction, Transformers, Decoding,
Pose estimation and tracking
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Lan, L.C.[Li-Chi],
Liu, T.J.[Tsung-Jung],
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Age Regression with Specific Facial Landmarks by Dual Discriminator
Adversarial Autoencoder,
ICIP21(2718-2722)
IEEE DOI
2201
Training, Shape, Databases, Image processing, Aging, Task analysis,
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Luu, K.[Khoa],
Clusformer: A Transformer based Clustering Approach to Unsupervised
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CVPR21(10842-10851)
IEEE DOI
2111
Training, Visualization, Face recognition, Computational modeling,
Clustering methods, Transformers, Encoding
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Taguchi, K.[Kensuke],
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Facial landmark detection transfer learning for a specific user in
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MVA21(1-5)
DOI Link
2109
Transfer learning, Training data,
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2106
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Subject Consistencies,
ICPR21(4077-4082)
IEEE DOI
2105
Image synthesis, Semantics, Transforms, Detectors,
Unsupervised learning
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2103
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2103
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DeepVision20(3275-3283)
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Image resolution, Face, Heating systems, Generators, Task analysis,
Convolution
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Chandran, P.,
Bradley, D.,
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Beeler, T.,
Attention-Driven Cropping for Very High Resolution Facial Landmark
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CVPR20(5860-5869)
IEEE DOI
2008
Image resolution, Heating systems, Training, Detectors, Face,
Machine learning, Agriculture
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Iranmanesh, S.M.,
Dabouei, A.,
Soleymani, S.,
Kazemi, H.,
Nasrabadi, N.M.,
Robust Facial Landmark Detection via Aggregation on Geometrically
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WACV20(319-329)
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2006
Shape, Task analysis, Robustness, Face recognition, Strain, Semantics,
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Robinson, J.,
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Laplace Landmark Localization,
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face recognition, image annotation,
learning (artificial intelligence), object detection, Videos
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Teacher Supervises Students How to Learn From Partially Labeled
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ICCV19(783-792)
IEEE DOI
2004
face recognition, learning (artificial intelligence),
object detection, semisupervised facial landmark detection,
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Yan, L.,
Zhao, X.,
Zhou, J.,
Wu, Y.,
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ICCV19(141-150)
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face recognition, feature extraction,
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Extending Convolutional Pose Machines for Facial Landmark
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Preregister19(4600-4602)
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2004
face recognition, iterative methods,
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Point Convolutions
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Sun, K.,
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Zhou, Q.,
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2004
Code, Facial Landmarks.
HTML Version. face recognition, image restoration, object detection,
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Geometry
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Sun, K.,
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2004
Code, Facial Landmarks.
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Lei, Z.[Zhen],
Robertson, N.M.[Neil M.],
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Semantic Alignment: Finding Semantically Consistent Ground-Truth for
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ICIP19(335-339)
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1910
3D Face Reconstruction, Multi Database Fusion, Face Alignment, Deep Learning
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Paulsen, R.R.[Rasmus R.],
Juhl, K.A.[Kristine Aavild],
Haspang, T.M.[Thilde Marie],
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1906
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Hu, X.,
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High-Quality Facial Keypoints Matching with Motion Smoothness
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ICPR18(3519-3524)
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1812
Face, Solid modeling, Databases,
Standards, Facial features, Feature extraction
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Yu, J.[Jun],
Sun, Y.C.[Yue-Chuan],
Simultaneous Facial Landmark and 3D Action Estimation Based on
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ICIP18(3643-3647)
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Shape, Forestry, Training, Vegetation,
Estimation, Probabilistic logic, Faciallandmark, facial action
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Yu, J.[Jun],
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VCIP17(1-4)
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face recognition, feature extraction, iterative methods,
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Huang, R.,
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ICIP17(1582-1586)
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Benchmark testing, Computational modeling,
Convolutional neural networks, Face, Face recognition, Measurement,
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Lee, H.J.[Hong Joo],
Baddar, W.J.[Wissam J.],
Kim, H.G.[Hak Gu],
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Teacher and Student Joint Learning for Compact Facial Landmark
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1802
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Lv, J.J.[Jiang-Jing],
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Cheng, C.[Cheng],
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A Deep Regression Architecture with Two-Stage Re-initialization for
High Performance Facial Landmark Detection,
CVPR17(3691-3700)
IEEE DOI
1711
Computer architecture, Detectors, Face, Machine learning, Robustness, Shape
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Chen, X.[Xi],
Zhou, E.[Erjin],
Mo, Y.C.[Yu-Chen],
Liu, J.C.[Jian-Cheng],
Cao, Z.M.[Zhi-Min],
Delving Deep Into Coarse-to-Fine Framework for Facial Landmark
Localization,
FaceWild17(2088-2095)
IEEE DOI
1709
Computer architecture, Convolution, Correlation,
Face, Least squares approximation, Training
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Xiao, S.T.[Sheng-Tao],
Li, J.S.[Jian-Shu],
Chen, Y.P.[Yun-Peng],
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Yan, S.C.[Shui-Cheng],
Kassim, A.[Ashraf],
3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection,
FaceWild17(2060-2068)
IEEE DOI
1709
Detectors, Face, Feature extraction, Robustness, Solid modeling,
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Xiao, S.T.[Sheng-Tao],
Feng, J.S.[Jia-Shi],
Liu, L.,
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Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark
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ICCV17(1642-1651)
IEEE DOI
1802
face recognition, feature extraction,
learning (artificial intelligence), pose estimation,
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Xiao, S.T.[Sheng-Tao],
Feng, J.S.[Jia-Shi],
Xing, J.L.[Jun-Liang],
Lai, H.J.[Han-Jiang],
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Robust Facial Landmark Detection via Recurrent Attentive-Refinement
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1611
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Yang, J.,
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Stacked Hourglass Network for Robust Facial Landmark Localisation,
FaceWild17(2025-2033)
IEEE DOI
1709
Estimation, Face, Feature extraction, Robustness, Shape, Training
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Kim, K.[Kang_Geon],
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Choi, J.M.[Jong-Moo],
Morency, L.P.[Louis-Philippe],
Nevatia, R.[Ramakant],
Medioni, G.[Gérard],
Local-Global Landmark Confidences for Face Recognition,
FG17(666-672)
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1707
Computational modeling, Face, Face recognition, Media,
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Kim, K.[Kang_Geon],
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Learning Local Responses of Facial Landmarks with Conditional
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FG17(947-952)
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1707
Convolution, Convolutional codes, Encoding, Face, Neural networks,
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Wu, Y.,
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EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic
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FG17(222-229)
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1707
Adaptation models, Detectors, Face, Mathematical model,
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Jeong, M.,
Kwak, J.[Joon_Young],
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Facial landmark detection based on an ensemble of local weighted
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ICPR16(2198-2203)
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Cameras, Face, Nose, Regression tree analysis, Shape, Training,
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Oliu Simón, M.[Marc],
Corneanu, C.A.[Ciprian A.],
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Continuous Supervised Descent Method for Facial Landmark Localisation,
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Failure Detection for Facial Landmark Detectors,
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An automated method for realistic face simulation and facial landmark
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IPTA16(1-6)
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computer vision
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Training, Filtering, Face recognition, Pipelines,
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Cross-Modality Anatomical Landmark Detection Using Histograms of
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Face
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ICIP16(3209-3213)
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1610
Computer vision
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Automatic detection of 3D lighting inconsistencies via a facial
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ICIP16(3932-3936)
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1610
Estimation
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WACV16(1-8)
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Animals
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Active appearance model
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1611
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Face
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ICCV15(3855-3861)
IEEE DOI
1602
Computational modeling
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Hsu, G.S.[Gee-Sern],
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ICIP15(4303-4307)
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1512
Deformable Part Model; Face Detection; Facial Landmark Localization
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ICIP15(3773-3777)
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1512
Facial feature parsing
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ICIP15(2115-2119)
IEEE DOI
1512
Deep Auto-encoder; Facial landmark; Pose-induced
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Hou, Q.Q.[Qi-Qi],
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ICIP15(1800-1804)
IEEE DOI
1512
CMC-CNN; Face Alignment; Global Feature; Local Feature
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Dong, Y.C.[Yan-Chao],
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ICIP15(98-102)
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1512
Facial Alignment
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1408
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ICCV13(1513-1520)
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1403
Face recognition; Face shape; Landmark estimation; Pose estimation
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ICCV13(1025-1032)
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1403
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ICIP13(519-523)
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1402
Adaptive filters
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Correlation filter cascade for facial landmark localization,
WACV16(1-8)
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1606
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And:
Face sketch recognition by Local Radon Binary Pattern: LRBP,
ICIP12(1837-1840).
IEEE DOI
1302
Correlation; Face; Feature extraction; Robustness; Shape; Testing; Training
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CVPR15(4630-4638)
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1510
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Liu, A.[Ang],
Du, Y.Z.[Yang-Zhou],
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1201
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FG13(1-6)
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1309
Gaussian processes
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1310
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1103
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1201
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Facial component-landmark detection,
FG11(278-285).
IEEE DOI
1103
BibRef
Zhou, E.[Erjin],
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FaceWild13(386-391)
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1403
face recognition
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Dataset, Faces, Features.
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FaceWild13(378-385)
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1403
Fourier transforms
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Milborrow, S.[Stephen],
Nicolls, F.[Fred],
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ECCV08(IV: 504-513).
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0810
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Beumer, G.M.,
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Veldhuis, R.N.J.,
A Landmark Paper in Face Recognition,
FGR06(73-78).
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0604
Landmark based alignment depends on the landmarks.
Most likely landmark locator (
See also Likelihood-Ratio-Based Biometric Verification. )
and Viola-Jones (
See also Robust Real-Time Face Detection. )
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Optimal Decision Fusion for a Face Verification System,
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0612
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis, Local Binary Patters for Face Recognition .