| Paper ID | Megapixels Key | Report Link | PDF Link | Journal | Type | Address | Lat | Lng | Coverage | Total Citations | Geocoded Citations | Unknown Citations | Empty Citations | With PDF | With DOI | | b5f2846a506fc417e7da43f6a7679146d99c5e96 | UCF101 | UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild | [pdf] | CoRR | edu | University of Central Florida | 28.59899755 | -81.19712501 | 51% | 934 | 476 | 455 | 65 | 658 | 230 |
| 0e986f51fe45b00633de9fd0c94d082d2be51406 | | Face detection, pose estimation, and landmark localization in the wild | [pdf] | 2012 IEEE Conference on Computer Vision and Pattern Recognition | edu | University of California, Irvine | 33.64319010 | -117.84016494 | 48% | 999 | 475 | 524 | 52 | 601 | 303 |
| 370b5757a5379b15e30d619e4d3fb9e8e13f3256 | | Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments | [pdf] | | | | | | 45% | 999 | 451 | 545 | 62 | 613 | 293 |
| 759a3b3821d9f0e08e0b0a62c8b693230afc3f8d | | Attribute and simile classifiers for face verification | [pdf] | 2009 IEEE 12th International Conference on Computer Vision | edu | Columbia University | 40.84198360 | -73.94368971 | 48% | 862 | 416 | 446 | 46 | 556 | 232 |
| 18c72175ddbb7d5956d180b65a96005c100f6014 | Yale Face Database B | From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose | [pdf] | IEEE Trans. Pattern Anal. Mach. Intell. | | | | | 40% | 999 | 397 | 601 | 65 | 519 | 330 |
| 4d9a02d080636e9666c4d1cc438b9893391ec6c7 | | The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression | [pdf] | 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops | | | | | 37% | 916 | 337 | 577 | 51 | 420 | 361 |
| 23fc83c8cfff14a16df7ca497661264fc54ed746 | CK | Comprehensive Database for Facial Expression Analysis | [pdf] | | edu | Carnegie Mellon University | 37.41021930 | -122.05965487 | 33% | 999 | 330 | 668 | 64 | 536 | 263 |
| 4d423acc78273b75134e2afd1777ba6d3a398973 | | International Conference on Automatic Face and Gesture Recognition The CMU Pose , Illumination , and Expression ( PIE ) Database | [pdf] | | | | | | 42% | 723 | 301 | 422 | 55 | 392 | 237 |
| 45c31cde87258414f33412b3b12fc5bec7cb3ba9 | JAFFE | Coding Facial Expressions with Gabor Wavelets | [pdf] | | edu | Kyushu University | 33.59914655 | 130.22359848 | 32% | 804 | 254 | 550 | 45 | 383 | 263 |
| 140438a77a771a8fb656b39a78ff488066eb6b50 | LFWP | Localizing Parts of Faces Using a Consensus of Exemplars | [pdf] | IEEE Transactions on Pattern Analysis and Machine Intelligence | edu | Columbia University | 40.84198360 | -73.94368971 | 49% | 506 | 250 | 255 | 36 | 309 | 150 |
| 560e0e58d0059259ddf86fcec1fa7975dee6a868 | | Face recognition in unconstrained videos with matched background similarity | [pdf] | CVPR 2011 | edu | Open University of Israel | 32.77824165 | 34.99565673 | 49% | 457 | 225 | 230 | 27 | 273 | 149 |
| 853bd61bc48a431b9b1c7cab10c603830c488e39 | CAISA Webface | Learning Face Representation from Scratch | [pdf] | CoRR | | | | | 53% | 401 | 213 | 187 | 28 | 261 | 125 |
| 9055b155cbabdce3b98e16e5ac9c0edf00f9552f | | MORPH: a longitudinal image database of normal adult age-progression | [pdf] | 7th International Conference on Automatic Face and Gesture Recognition (FGR06) | | | | | 42% | 406 | 172 | 231 | 22 | 208 | 161 |
| 1ea8085fe1c79d12adffb02bd157b54d799568e4 | | Eigenfaces vs. Fisherfaces: Recognition Using Class Speciic Linear Projection | [pdf] | | | | | | 28% | 583 | 162 | 420 | 44 | 300 | 162 |
| 2724ba85ec4a66de18da33925e537f3902f21249 | | Robust Face Landmark Estimation under Occlusion | [pdf] | 2013 IEEE International Conference on Computer Vision | | | | | 53% | 296 | 156 | 139 | 14 | 179 | 99 |
| 95f12d27c3b4914e0668a268360948bce92f7db3 | Helen | Interactive Facial Feature Localization | [pdf] | | edu | University of Illinois, Urbana-Champaign | 40.11116745 | -88.22587665 | 47% | 323 | 153 | 169 | 23 | 198 | 105 |
| 044d9a8c61383312cdafbcc44b9d00d650b21c70 | | 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge | [pdf] | 2013 IEEE International Conference on Computer Vision Workshops | edu | University of Twente | 52.23801390 | 6.85667610 | 53% | 285 | 150 | 134 | 25 | 185 | 82 |
| a74251efa970b92925b89eeef50a5e37d9281ad0 | | Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization | [pdf] | 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops) | | | | | 51% | 278 | 143 | 135 | 30 | 195 | 65 |
| 2fda164863a06a92d3a910b96eef927269aeb730 | | Names and faces in the news | [pdf] | Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. | | | | | 36% | 290 | 104 | 186 | 19 | 197 | 45 |
| 140c95e53c619eac594d70f6369f518adfea12ef | IJB-A | Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A | [pdf] | 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | | | | | 46% | 208 | 95 | 110 | 20 | 144 | 52 |
| 013909077ad843eb6df7a3e8e290cfd5575999d2 | | A Semi-automatic Methodology for Facial Landmark Annotation | [pdf] | 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops | edu | University of Twente | 52.23801390 | 6.85667610 | 56% | 169 | 94 | 75 | 14 | 112 | 49 |
| 4c170a0dcc8de75587dae21ca508dab2f9343974 | FaceTracer | FaceTracer: A Search Engine for Large Collections of Images with Faces | [pdf] | | edu | Columbia University | 40.84198360 | -73.94368971 | 42% | 212 | 89 | 123 | 13 | 137 | 52 |
| 04661729f0ff6afe4b4d6223f18d0da1d479accf | CelebA | From Facial Parts Responses to Face Detection: A Deep Learning Approach | [pdf] | 2015 IEEE International Conference on Computer Vision (ICCV) | edu | Shenzhen Institutes of Advanced Technology | 22.59805605 | 113.98533784 | 50% | 150 | 75 | 74 | 12 | 93 | 48 |
| 291265db88023e92bb8c8e6390438e5da148e8f5 | MsCeleb | MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition | [pdf] | | | | | | 47% | 150 | 70 | 79 | 14 | 115 | 29 |
| 1be498d4bbc30c3bfd0029114c784bc2114d67c0 | Adience | Age and Gender Estimation of Unfiltered Faces | [pdf] | IEEE Transactions on Information Forensics and Security | | | | | 43% | 155 | 67 | 88 | 5 | 80 | 55 |
| 52d7eb0fbc3522434c13cc247549f74bb9609c5d | WIDER FACE | WIDER FACE: A Face Detection Benchmark | [pdf] | 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | edu | Chinese University of Hong Kong | 22.42031295 | 114.20788644 | 50% | 129 | 65 | 64 | 11 | 89 | 34 |
| 133f01aec1534604d184d56de866a4bd531dac87 | | Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics | [pdf] | IEEE Transactions on Pattern Analysis and Machine Intelligence | | | | | 38% | 168 | 63 | 105 | 15 | 95 | 55 |
| 10195a163ab6348eef37213a46f60a3d87f289c5 | | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks | [pdf] | International Journal of Computer Vision | | | | | 47% | 121 | 57 | 63 | 10 | 84 | 29 |
| 96e0cfcd81cdeb8282e29ef9ec9962b125f379b0 | MegaFace 2 | The MegaFace Benchmark: 1 Million Faces for Recognition at Scale | [pdf] | 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | edu | University of Washington | 47.65432380 | -122.30800894 | 49% | 114 | 56 | 58 | 10 | 88 | 22 |
| 0d3bb75852098b25d90f31d2f48fd0cb4944702b | FaceScrub | A data-driven approach to cleaning large face datasets | [pdf] | 2014 IEEE International Conference on Image Processing (ICIP) | edu | University of Illinois, Urbana-Champaign | 40.11116745 | -88.22587665 | 42% | 120 | 51 | 69 | 5 | 93 | 24 |
| e4754afaa15b1b53e70743880484b8d0736990ff | | 300 Faces In-The-Wild Challenge: database and results | [pdf] | Image Vision Comput. | | | | | 42% | 103 | 43 | 60 | 10 | 65 | 30 |
| 8355d095d3534ef511a9af68a3b2893339e3f96b | | DEX: Deep EXpectation of Apparent Age from a Single Image | [pdf] | 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) | | | | | 42% | 102 | 43 | 56 | 5 | 61 | 28 |
| 04c2cda00e5536f4b1508cbd80041e9552880e67 | | Hipster Wars: Discovering Elements of Fashion Styles | [pdf] | | edu | Tohoku University | 38.25309450 | 140.87365930 | 48% | 85 | 41 | 44 | 3 | 55 | 19 |
| 636b8ffc09b1b23ff714ac8350bb35635e49fa3c | | Pruning training sets for learning of object categories | [pdf] | 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) | | | | | 58% | 60 | 35 | 25 | 4 | 41 | 12 |
| 0b3a146c474166bba71e645452b3a8276ac05998 | | Whos In the Picture | [pdf] | | | | | | 34% | 99 | 34 | 65 | 6 | 65 | 23 |
| 51eba481dac6b229a7490f650dff7b17ce05df73 | imSitu | Situation Recognition: Visual Semantic Role Labeling for Image Understanding | [pdf] | 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | edu | University of Washington | 47.65432380 | -122.30800894 | 61% | 44 | 27 | 17 | 2 | 41 | 2 |
| fcc6fe6007c322641796cb8792718641856a22a7 | | Automatic facial makeup detection with application in face recognition | [pdf] | 2013 International Conference on Biometrics (ICB) | edu | West Virginia University | 39.65404635 | -79.96475355 | 63% | 43 | 27 | 16 | 0 | 16 | 21 |
| 203009d3608bdc31ffc3991a0310b9e98b630c4d | | Moving faces, looking places: validation of the Amsterdam Dynamic Facial Expression Set (ADFES). | [pdf] | Emotion | | | | | 35% | 77 | 27 | 50 | 6 | 52 | 14 |
| 0a85bdff552615643dd74646ac881862a7c7072d | | Beyond frontal faces: Improving Person Recognition using multiple cues | [pdf] | 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | | | | | 58% | 45 | 26 | 18 | 2 | 37 | 5 |
| 356b431d4f7a2a0a38cf971c84568207dcdbf189 | | Recognize complex events from static images by fusing deep channels | [pdf] | 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | edu | Shenzhen Institutes of Advanced Technology | 22.59805605 | 113.98533784 | 53% | 43 | 23 | 20 | 1 | 30 | 12 |
| 37d6f0eb074d207b53885bd2eb78ccc8a04be597 | | Can facial cosmetics affect the matching accuracy of face recognition systems? | [pdf] | 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS) | | | | | 41% | 46 | 19 | 27 | 0 | 17 | 22 |
| 31b05f65405534a696a847dd19c621b7b8588263 | | UMDFaces: An annotated face dataset for training deep networks | [pdf] | 2017 IEEE International Joint Conference on Biometrics (IJCB) | | | | | 48% | 29 | 14 | 15 | 4 | 20 | 6 |
| c34532fe6bfbd1e6df477c9ffdbb043b77e7804d | | A 3D Morphable Eye Region Model for Gaze Estimation | [pdf] | Unknown | edu | Carnegie Mellon University | 37.41021930 | -122.05965487 | 62% | 21 | 13 | 8 | 0 | 17 | 4 |
| 28d4e027c7e90b51b7d8908fce68128d1964668a | MegaFace 2 | Level Playing Field for Million Scale Face Recognition | [pdf] | 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) | | | | | 41% | 27 | 11 | 16 | 2 | 22 | 4 |
| 45e616093a92e5f1e61a7c6037d5f637aa8964af | | Fine-grained evaluation on face detection in the wild | [pdf] | 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) | edu | Chinese Academy of Sciences | 40.00447950 | 116.37023800 | 59% | 17 | 10 | 7 | 0 | 13 | 4 |
| ca3e88d87e1344d076c964ea89d91a75c417f5ee | | Indian Movie Face Database: A benchmark for face recognition under wide variations | [pdf] | 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) | | | | | 64% | 14 | 9 | 5 | 0 | 10 | 4 |
| 6dcf418c778f528b5792104760f1fbfe90c6dd6a | | AgeDB: The First Manually Collected, In-the-Wild Age Database | [pdf] | 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | | | | | 70% | 10 | 7 | 2 | 1 | 9 | 0 |
| bd26dabab576adb6af30484183c9c9c8379bf2e0 | SCUT-FBP | SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception | [pdf] | 2015 IEEE International Conference on Systems, Man, and Cybernetics | edu | South China University of Technology | 23.05020420 | 113.39880323 | 29% | 14 | 4 | 10 | 3 | 5 | 7 |
| 1a40092b493c6b8840257ab7f96051d1a4dbfeb2 | | Sports Videos in the Wild (SVW): A video dataset for sports analysis | [pdf] | 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) | edu | Michigan State University | 42.71856800 | -84.47791571 | 67% | 6 | 4 | 2 | 1 | 5 | 0 |
| 0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e | | Large Age-Gap face verification by feature injection in deep networks | [pdf] | Pattern Recognition Letters | | | | | 40% | 5 | 2 | 3 | 0 | 2 | 2 |
| 56ae6d94fc6097ec4ca861f0daa87941d1c10b70 | CMDP | Distance Estimation of an Unknown Person from a Portrait | [pdf] | | edu | California Institute of Technology | 34.13710185 | -118.12527487 | 25% | 8 | 2 | 6 | 0 | 5 | 1 |
| 137aa2f891d474fce1e7a1d1e9b3aefe21e22b34 | | Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset | [pdf] | 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS) | edu | University of North Carolina Wilmington | 34.23755810 | -77.92701290 | 29% | 7 | 2 | 5 | 1 | 2 | 4 |
| 3c8db0d86a6aa51b64ec09c7d25a721adcdfb7a3 | | Ordered trajectories for human action recognition with large number of classes | [pdf] | Image Vision Comput. | | | | | 100% | 1 | 1 | 0 | 0 | 0 | 1 |
| 670637d0303a863c1548d5b19f705860a23e285c | | Face swapping: automatically replacing faces in photographs | [pdf] | ACM Trans. Graph. | edu | Columbia University | 40.84198360 | -73.94368971 | 50% | 2 | 1 | 1 | 0 | 1 | 1 |
| c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8 | | Anxiety promotes memory for mood-congruent faces but does not alter loss aversion. | [pdf] | Scientific reports | edu | University College London | 51.52316070 | -0.12820370 | 25% | 4 | 1 | 3 | 0 | 2 | 2 |
| 23e824d1dfc33f3780dd18076284f07bd99f1c43 | | Spoofing faces using makeup: An investigative study | [pdf] | 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) | edu | INRIA Méditerranée | 43.61581310 | 7.06838000 | 33% | 3 | 1 | 2 | 0 | 1 | 2 |
| 75da1df4ed319926c544eefe17ec8d720feef8c0 | FDDB | FDDB: A Benchmark for Face Detection in Unconstrained Settings | [pdf] | | edu | University of Massachusetts | 42.38897850 | -72.52869870 | 0% | 1 | 0 | 1 | 0 | 0 | 0 |
| 447d8893a4bdc29fa1214e53499ffe67b28a6db5 | | Electronic Transport in Quantum Confined Systems | [pdf] | | | | | | 0% | 1 | 0 | 1 | 0 | 1 | 0 |