Multi-PIE

Eigenfaces for Recognition

Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,798

Active appearance models

Cootes, T. F., Edwards, G. J., & Taylor, C. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927467 · Cited by 5,409

From few to many: illumination cone models for face recognition under variable lighting and pose

Georghiades, A. S., Belhumeur, P. N., & Kriegman, D. J. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.927464 · Cited by 4,917

Comprehensive database for facial expression analysis

Takeo Kanade, A., Cohn, J. F., & Tian, Y. (2002) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2000.840611 · Cited by 2,644

The FERET database and evaluation procedure for face-recognition algorithms

Phillips, P. J., Wechsler, H., Huang, J., & Rauss, P. J. (1998) · Image and Vision Computing · doi:10.1016/s0262-8856(97)00070-x · Cited by 2,435

The AR face database

Martı́nez, A. M. (1998) · Medical Entomology and Zoology · Cited by 1,982

The CMU pose, illumination, and expression database

Sim, T., Baker, S., & Bsat, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251154 · Cited by 1,786

Active Appearance Models Revisited

Matthews, I., & Baker, S. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029666.37597.d3 · Cited by 1,538

XM2VTSDB: The Extended M2VTS Database

Messer, K., Matas, J., Kittler, J., Luettin, J., & Maître, G. (1999) · Cited by 1,158

A Database and Evaluation Methodology for Optical Flow

Baker, S., Scharstein, D., Lewis, J. P., Roth, S., Black, M. J., & Szeliski, R. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0390-2 · Cited by 2,205

Supervised Descent Method and Its Applications to Face Alignment

Xiong, X., & la Torre, F. D. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.75 · Cited by 1,926

PCANet: A Simple Deep Learning Baseline for Image Classification?

Chan, T.-H., Jia, K., Gao, S., Lu, J., Zeng, Z., & Ma, Y. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2475625 · Cited by 1,635

RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images

Peng, Y., Ganesh, A., Wright, J. N., Xu, W., & Ma, Y. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.282 · Cited by 825

Deformable Model Fitting by Regularized Landmark Mean-Shift

Saragih, J. M., Lucey, S., & Cohn, J. F. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-010-0380-4 · Cited by 787

Robust Face Landmark Estimation under Occlusion

Burgos-Artizzu, X. P., Perona, P., & Dollár, P. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.191 · Cited by 805

Collecting Large, Richly Annotated Facial-Expression Databases from Movies

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2012) · IEEE Multimedia · doi:10.1109/mmul.2012.26 · Cited by 658

Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation

Wagner, A., Wright, J., Ganesh, A., Zhou, Z., Mobahi, H., & Ma, Y. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.112 · Cited by 630

Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification

Chen, D., Cao, X., Wen, F., & Sun, J. Z. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.389 · Cited by 624

Robust Discriminative Response Map Fitting with Constrained Local Models

Asthana, A., Zafeiriou, S. P., Cheng, S., & Pantić, M. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.442 · Cited by 565

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) · doi:10.1109/iccvw.2011.6130508 · Cited by 541

Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2515606 · Cited by 527

Face recognition with learning-based descriptor

Cao, Z., Yin, Q., Tang, X., & Sun, J. Z. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539992 · Cited by 438

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

Fischer, T., Chang, H. J., & Demiris, Y. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01249-6_21 · Cited by 407

A Database and Evaluation Methodology for Optical Flow

Baker, S., Roth, S., Scharstein, D., Black, M. J., Lewis, J. P., & Szeliski, R. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408903 · Cited by 618

Supervised translation-invariant sparse coding

Yang, J., Yu, K., & Huang, T. S. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539958 · Cited by 364

Fast $\ell_{1}$-Minimization Algorithms for Robust Face Recognition

Yang, A. Y., Zhou, Z., Balasubramanian, A. G., Sastry, S., & Ma, Y. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2262292 · Cited by 380

Deep Learning Identity-Preserving Face Space

Zhu, Z., Luo, P., Wang, X., & Tang, X. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.21 · Cited by 308

KinectFaceDB: A Kinect Database for Face Recognition

Min, R., Köse, N., & Dugelay, J. (2014) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2014.2331215 · Cited by 275

Fully automatic pose-invariant face recognition via 3D pose normalization

Asthana, A., Marks, T. K., Jones, M., Tieu, K. H., & Rohith, M. V. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126336 · Cited by 243

RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images

Peng, Y., Ganesh, A., Wright, J. N., Xu, W., & Ma, Y. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540138 · Cited by 242

Face Recognition Systems Under Morphing Attacks: A Survey

Scherhag, U., Rathgeb, C., Merkle, J., Breithaupt, R., & Busch, C. (2019) · IEEE Access · doi:10.1109/access.2019.2899367 · Cited by 235

Accurate Eye Center Location through Invariant Isocentric Patterns

Valenti, R., & Gevers, T. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.251 · Cited by 217

Emotion Recognition In The Wild Challenge 2014

Dhall, A., Goecke, R., Joshi, J., Sikka, K., & Gedeon, T. (2014) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/2663204.2666275 · Cited by 216

Driver’s Facial Expression Recognition in Real-Time for Safe Driving

Jeong, M., & Ko, B. C. (2018) · Sensors · doi:10.3390/s18124270 · Cited by 198

Global supervised descent method

Xiong, X., & la Torre, F. D. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298882 · Cited by 191

A New Discriminative Sparse Representation Method for Robust Face Recognition via $l_{2}$ Regularization

Xu, Y. D., Zhong, Z., Yang, J. J., You, J., & Zhang, D. D. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2016.2580572 · Cited by 190

Towards a practical face recognition system: Robust registration and illumination by sparse representation

Wagner, A., Wright, J. N., Ganesh, A., Zhou, Z., & Ma, Y. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206654 · Cited by 185

An associate-predict model for face recognition

Yin, Q., Tang, X., & Sun, J. Z. (2011) · doi:10.1109/cvpr.2011.5995494 · Cited by 161

Close the loop: Joint blind image restoration and recognition with sparse representation prior

Zhang, H., Yang, J., Zhang, Y., Nasrabadi, N. M., & Huang, T. S. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126315 · Cited by 153

Deblurring Face Images with Exemplars

Pan, J., Hu, Z., Su, Z., & Yang, M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10584-0_4 · Cited by 152

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

Du, H., Shi, H., Zeng, D., Zhang, X.-P. S., & Mei, T. (2022) · ACM Computing Surveys · doi:10.1145/3507902 · Cited by 172

Geometry Guided Adversarial Facial Expression Synthesis

Song, L., Lu, Z., He, R., Sun, Z., & Tan, T. (2018) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3240508.3240612 · Cited by 152

Structured Face Hallucination

Yang, C.-Y., Liu, S., & Yang, M. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.146 · Cited by 146

Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets

Kopalidis, T., Solachidis, V., Vretos, N., & Daras, P. (2024) · Information · doi:10.3390/info15030135 · Cited by 205

Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models

Prabhu, U., Heo, J., & Savvides, M. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.123 · Cited by 136

A Review of Fast L(1)-Minimization Algorithms for Robust Face Recognition

Yang, A. Y., Genesh, A., Zhou, Z., Sastry, S., & Ma, Y. (2010) · doi:10.21236/ada525384 · Cited by 124

Detection of Face Morphing Attacks Based on PRNU Analysis

Scherhag, U., Debiasi, L., Rathgeb, C., Busch, C., & Uhl, A. (2019) · IEEE Transactions on Biometrics Behavior and Identity Science · doi:10.1109/tbiom.2019.2942395 · Cited by 121

Open Compound Domain Adaptation

Liu, Z., Miao, Z., Pan, X., Zhan, X., Lin, D., Yu, S. X., & Gong, B. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.01242 · Cited by 119

Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos

Seshadri, K., Juefei-Xu, F., Pal, D. K., Savvides, M., & Thor, C. P. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301397 · Cited by 123

Robust and Practical Face Recognition via Structured Sparsity

Jia, K., Chan, T., & Ma, Y. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33765-9_24 · Cited by 117

Automatic Group Happiness Intensity Analysis

Dhall, A., Goecke, R., & Gedeon, T. (2015) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2015.2397456 · Cited by 117

Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses

Bhagavatula, C., Zhu, C., Luu, K., & Savvides, M. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.429 · Cited by 113

Emotion recognition from facial images with simultaneous occlusion, pose and illumination variations using meta-learning

Kuruvayil, S., & Palaniswamy, S. (2021) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.06.012 · Cited by 107

Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition

Yang, K., Wang, C., Gu, Y., Sarsenbayeva, Z., Tag, B., Dingler, T., Wadley, G., & Gonçalves, J. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2021.3100868 · Cited by 115

Automated Facial Expression Recognition System

Ryan, A. H., Cohn, J. F., Lucey, S., Saragih, J., Lucey, P., la Torre, F. D., & Rossi, A. (2009) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2009.5335546 · Cited by 106

Deep Learning in Object Recognition, Detection, and Segmentation

Wang, X. (2016) · Foundations and Trends® in Signal Processing · doi:10.1561/2000000071 · Cited by 111

A review of image-based automatic facial landmark identification techniques

Johnston, B., & de Chazal, P. (2018) · EURASIP Journal on Image and Video Processing · doi:10.1186/s13640-018-0324-4 · Cited by 98

Image sets alignment for Video-Based Face Recognition

Cui, Z., Shan, S., Zhang, H., Lao, S., & Chen, X. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247982 · Cited by 89

Forensic Face Photo-Sketch Recognition Using a Deep Learning-Based Architecture

Galea, C., & Farrugia, R. A. (2017) · IEEE Signal Processing Letters · doi:10.1109/lsp.2017.2749266 · Cited by 89

Cross-domain facial expression recognition via an intra-category common feature and inter-category Distinction feature fusion network

Ji, Y., Hu, Y., Yang, Y., Shen, F., & Shen, H. T. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.12.037 · Cited by 86

Domain adaptation for ear recognition using deep convolutional neural networks

Eyiokur, F. I., Yaman, D., & Ekenel, H. K. (2017) · IET Biometrics · doi:10.1049/iet-bmt.2017.0209 · Cited by 81

Deep learning based facial expression recognition using improved Cat Swarm Optimization

Sikkandar, H., & Thiyagarajan, R. (2020) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-020-02463-4 · Cited by 86

Implicit elastic matching with random projections for pose-variant face recognition

Wright, J. N., & Hua, G. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206786 · Cited by 83

Learning to Deblur Images with Exemplars

Pan, J., Ren, W., Hu, Z., & Yang, M. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2832125 · Cited by 82

Face De-identification

Ralph Gross, A., Sweeney, L., Cohn, J. F., de la Torre, F. N., & Baker, S. (2009) · Springer eBooks · doi:10.1007/978-1-84882-301-3_8 · Cited by 81

Learning a Family of Detectors via Multiplicative Kernels

Yuan, Q., Thangali, A., Ablavsky, V., & Sclaroff, S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.117 · Cited by 79

Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge

Juefei-Xu, F., & Savvides, M. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2329460 · Cited by 77

Real-time avatar animation from a single image

Saragih, J., Lucey, S., & Cohn, J. F. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771383 · Cited by 76

Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios

Juefei-Xu, F., Luu, K., & Savvides, M. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2468173 · Cited by 74

Real-time inference of mental states from facial expressions and upper body gestures

Baltrušaitis, T., McDuff, D., Banda, N., Mahmoud, M., el Kaliouby, R., Robinson, P., & Picard, R. W. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771372 · Cited by 73

Matching Software-Generated Sketches to Face Photographs With a Very Deep CNN, Morphed Faces, and Transfer Learning

Galea, C., & Farrugia, R. A. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2788002 · Cited by 72

New Trends in Emotion Recognition Using Image Analysis by Neural Networks, a Systematic Review

Cîrneanu, A.-L., Popescu, D., & Iordache, D. D. (2023) · Sensors · doi:10.3390/s23167092 · Cited by 84

Robust and Low-Rank Representation for Fast Face Identification With Occlusions

Iliadis, M., Wang, H., Molina, R., & Katsaggelos, A. K. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2675206 · Cited by 68

Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization

Smith, B. M., Brandt, J., Lin, Z., & Zhang, L. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.225 · Cited by 65

Robust modified Active Shape Model for automatic facial landmark annotation of frontal faces

Seshadri, K., & Savvides, M. (2009) · IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS) · doi:10.1109/btas.2009.5339057 · Cited by 64

DCTNet: A simple learning-free approach for face recognition

Ng, C. J., & Teoh, A. B. J. (2015) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipa.2015.7415375 · Cited by 62

Gender and Ethnicity Specific Generic Elastic Models from a Single 2D Image for Novel 2D Pose Face Synthesis and Recognition

Heo, J., & Savvides, M. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.275 · Cited by 61

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer

Zhuang, L., Yang, A. Y., Zhou, Z., Sastry, S., & Ma, Y. (2013) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2013.455 · Cited by 61

Fourier Lucas-Kanade Algorithm

Lucey, S., Navarathna, R., Ashraf, A. B., & Sridharan, S. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.220 · Cited by 57

Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation

Ramanan, D., & Baker, S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.127 · Cited by 55

Regressing a 3D Face Shape from a Single Image

Tulyakov, S., & Sebe, N. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.427 · Cited by 54

High-Resolution Face Verification Using Pore-Scale Facial Features

Li, D., Zhou, H., & Lam, K. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2412374 · Cited by 52

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment

Zhuang, L., Chan, T., Yang, A. Y., Sastry, S., & Ma, Y. (2014) · International Journal of Computer Vision · doi:10.1007/s11263-014-0749-x · Cited by 48

Sparse Feature Extraction for Pose-Tolerant Face Recognition

Abiantun, R., Prabhu, U., & Savvides, M. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2313124 · Cited by 45

Supervised dictionary-based transfer subspace learning and applications for fault diagnosis of sucker rod pumping systems

Zhang, A., & Gao, X. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.02.013 · Cited by 45

Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms

Bohacek, M., & Farid, H. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2216035119 · Cited by 45

Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic Review

Gunawardena, N., Ginige, J. A., & Javadi, B. (2022) · ACM Computing Surveys · doi:10.1145/3546938 · Cited by 44

On the use of automatically generated synthetic image datasets for benchmarking face recognition

Colbois, L., Pereira, T. D. F., & Marcel, S. (2021) · IEEE International Joint Conference on Biometrics (IJCB) · doi:10.1109/ijcb52358.2021.9484363 · Cited by 44

Stacked PCA Network (SPCANet): An effective deep learning for face recognition

Tian, L., Fan, C., Ming, Y., & Jin, Y. (2015) · IEEE International Conference on Digital Signal Processing (DSP) · doi:10.1109/icdsp.2015.7252036 · Cited by 43

From Pixels to Response Maps: Discriminative Image Filtering for Face Alignment in the Wild

Asthana, A., Zafeiriou, S. P., Tzimiropoulos, G., Cheng, S., & Pantić, M. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2362142 · Cited by 43

3D Face Reconstruction Using a Single or Multiple Views

Choi, J., Medioni, G. G., Lin, Y., da Silva, L. T., Regina, O., Segundo, M. P., & Faltemier, T. C. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.963 · Cited by 43

Data Fusion for Real-time Multimodal Emotion Recognition through Webcams and Microphones in E-Learning

Bahreini, K., Nadolski, R. J., & Westera, W. (2016) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1159799 · Cited by 45

Morphing Detection Using a General- Purpose Face Recognition System

Wandzik, L., Kaeding, G., & Garcia, R. V. (2018) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco.2018.8553375 · Cited by 44

SSR2: Sparse signal recovery for single-image super-resolution on faces with extreme low resolutions

Abiantun, R., Juefei-Xu, F., Prabhu, U., & Savvides, M. (2019) · Pattern Recognition · doi:10.1016/j.patcog.2019.01.032 · Cited by 43

Regression-Based Multi-view Facial Expression Recognition

Rudovic, O. O., Patras, I., & Pantić, M. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.1001 · Cited by 41

Facial Ethnicity Classification with Deep Convolutional Neural Networks

Wang, W., He, F., & Zhao, Q. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46654-5_20 · Cited by 41

Asymmetric Joint GANs for Normalizing Face Illumination From a Single Image

Han, X., Yang, H., Xing, G., & Liu, Y. (2019) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2019.2945197 · Cited by 41

Biometric cryptosystems: a comprehensive survey

Kaur, P., Kumar, N., & Singh, M. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13817-9 · Cited by 39

Efficient constrained local model fitting for non-rigid face alignment

Lucey, S., Wang, Y., Cox, M., Sridharan, S., & Cohn, J. F. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2009.03.002 · Cited by 38

Efficient $l_{1}$ -Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method

Kim, E., Lee, M., Choi, C., Kwak, N., & Oh, S. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2312535 · Cited by 37

Coupled Marginal Fisher Analysis for Low-Resolution Face Recognition

Siena, S., Boddeti, V. N., & Kumar, B. V. K. V. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33868-7_24 · Cited by 36

Interest Point Detector and Feature Descriptor Survey

Krig, S. (2016) · Springer eBooks · doi:10.1007/978-3-319-33762-3_6 · Cited by 37

3-D Generic Elastic Models for Fast and Texture Preserving 2-D Novel Pose Synthesis

Heo, J., & Savvides, M. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2184755 · Cited by 34

An Overview of Recent Advances in Assessing and Mitigating the Face Morphing Attack

Makrushin, A., & Wolf, A. (2018) · European Signal Processing Conference (EUSIPCO) · doi:10.23919/eusipco.2018.8553599 · Cited by 34

Face photo-sketch recognition using local and global texture descriptors

Galea, C., & Farrugia, R. A. (2016) · European Signal Processing Conference (EUSIPCO) · doi:10.1109/eusipco.2016.7760647 · Cited by 33

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale

Neumann, M., Roesler, O., Liscombe, J., Kothare, H., Suendermann‐Oeft, D., Pautler, D., Navar, I., Anvar, A., Kumm, J., Norel, R., et al. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1801 · Cited by 33

Reference-Guided Deep Super-Resolution via Manifold Localized External Compensation

Yang, W., Xia, S., Liu, J., & Guo, Z. (2018) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2018.2838453 · Cited by 32

Real-time avatar animation from a single image

Saragih, J., Lucey, S., & Cohn, J. F. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771400 · Cited by 32

Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers

Peng, K., Mathur, A., & Narayanan, A. (2021) · arXiv · doi:10.48550/arxiv.2108.02922 · Cited by 31

The CMU Pose, Illumination, and Expression (PIE) database

Sim, T., Baker, S. J., & Bsat, M. (2003) · doi:10.1109/afgr.2002.1004130 · Cited by 1,454

The CMU pose, illumination, and expression database

Sim, T., Baker, S., & Bsat, M. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251154 · Cited by 1,786

The CAS-PEAL large-scale chinese face database and baseline evaluations

Gao, W., Cao, B., Shan, S., Chen, X., Zhou, D., Zhang, X., & Zhao, D. (2008) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2007.909557 · Cited by 773

Appeared in the 2002 International Conference on Automatic Face and Gesture Recognition The CMU Pose, Illumination, and Expression (PIE) Database

(2000)

PERFORMANCE ANALYSIS OF FACE RECOGNITION ALGORITHMS ON KOREAN FACE DATABASE

Roh, M.-C., & Lee, S. (2007) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001407005818 · Cited by 14