{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/face-alignment/papers/3","list_of":"/task/face-alignment","task":"Face Alignment","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":3,"pages_in_order":4,"rows_per_page":100,"rows":[201,300],"of":308,"counts":{"archive_papers_tagged":308,"with_a_code_link":106,"where_syntology_ran_a_sample":23,"not_listed_spam_title":0,"listed":308,"listed_where_code_ran":23,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":21,"every_run_a_failure_of_syntologys_instrument":2,"listed_with_a_run_with_no_instrument_failure":21,"listed_every_run_a_failure_of_syntologys_instrument":2,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/face-alignment","prev":"/task/face-alignment/papers/2","next":"/task/face-alignment/papers/4","papers":[{"url":null,"slug":"deep-hierarchical-machine-a-flexible-divide","title":"Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture","date":"2018-12-03","arxiv_id":"1812.00647","repositories_listed":0,"syntology":null},{"url":"/paper/direct-shape-regression-networks-for-end-to","slug":"direct-shape-regression-networks-for-end-to","title":"Direct Shape Regression Networks for End-to-End Face Alignment","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"making-convolutional-networks-recurrent-for","title":"Making Convolutional Networks Recurrent for Visual Sequence Learning","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-facial-landmark-localization-based-on","title":"Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization","date":"2018-05-15","arxiv_id":"1805.05612","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-learning-of-cascaded-cnn-for","title":"Multi-task Learning of Cascaded CNN for Facial Attribute Classification","date":"2018-05-03","arxiv_id":"1805.01290","repositories_listed":0,"syntology":null},{"url":"/paper/facial-landmarks-detection-by-self-iterative","slug":"facial-landmarks-detection-by-self-iterative","title":"Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network","date":"2018-03-18","arxiv_id":"1803.06598","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-point-set-representation-a","title":"Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment","date":"2018-03-17","arxiv_id":"1803.06542","repositories_listed":0,"syntology":null},{"url":null,"slug":"densereg-fully-convolutional-dense-shape","title":"DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild","date":"2018-03-05","arxiv_id":"1803.02188","repositories_listed":0,"syntology":null},{"url":null,"slug":"accurate-facial-parts-localization-and-deep","title":"Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition","date":"2018-03-04","arxiv_id":"1803.05846","repositories_listed":0,"syntology":null},{"url":"/paper/disentangling-3d-pose-in-a-dendritic-cnn-for","slug":"disentangling-3d-pose-in-a-dendritic-cnn-for","title":"Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment","date":"2018-02-19","arxiv_id":"1802.06713","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-occluded-stacked-hourglass-approach-to","title":"An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation","date":"2018-02-05","arxiv_id":"1802.02137","repositories_listed":0,"syntology":null},{"url":"/paper/joint-voxel-and-coordinate-regression-for","slug":"joint-voxel-and-coordinate-regression-for","title":"Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization","date":"2018-01-28","arxiv_id":"1801.09242","repositories_listed":0,"syntology":null},{"url":null,"slug":"red-net-a-recurrent-encoder-decoder-network","title":"RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment","date":"2018-01-17","arxiv_id":"1801.06066","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-attribute-robust-component-analysis-for","title":"Multi-Attribute Robust Component Analysis for Facial UV Maps","date":"2017-12-15","arxiv_id":"1712.05799","repositories_listed":0,"syntology":null},{"url":null,"slug":"uv-gan-adversarial-facial-uv-map-completion","title":"UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition","date":"2017-12-13","arxiv_id":"1712.04695","repositories_listed":0,"syntology":null},{"url":"/paper/super-fan-integrated-facial-landmark","slug":"super-fan-integrated-facial-landmark","title":"Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs","date":"2017-12-07","arxiv_id":"1712.02765","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-reinforced-cascaded-regression-for-face","title":"Self-Reinforced Cascaded Regression for Face Alignment","date":"2017-11-23","arxiv_id":"1711.08624","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrated-face-analytics-networks-through","title":"Integrated Face Analytics Networks through Cross-Dataset Hybrid Training","date":"2017-11-16","arxiv_id":"1711.06055","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-free-head-3d-gaze-tracking-with","title":"Monocular Free-Head 3D Gaze Tracking With Deep Learning and Geometry Constraints","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recursive-spatial-transformer-rest-for","title":"Recursive Spatial Transformer (ReST) for Alignment-Free Face Recognition","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"synergy-between-face-alignment-and-tracking","title":"Synergy Between Face Alignment and Tracking via Discriminative Global Consensus Optimization","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/improving-landmark-localization-with-semi","slug":"improving-landmark-localization-with-semi","title":"Improving Landmark Localization with Semi-Supervised Learning","date":"2017-09-05","arxiv_id":"1709.01591","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-dense-facial-correspondences-in","title":"Learning Dense Facial Correspondences in Unconstrained Images","date":"2017-09-02","arxiv_id":"1709.00536","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-multi-view-face-alignment-in-the-wild","title":"Joint Multi-view Face Alignment in the Wild","date":"2017-08-20","arxiv_id":"1708.06023","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-face-feature-for-face-alignment","title":"Deep Face Feature for Face Alignment","date":"2017-08-09","arxiv_id":"1708.02721","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-face-alignment-and-3d-face","title":"Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition","date":"2017-08-09","arxiv_id":"1708.02734","repositories_listed":0,"syntology":null},{"url":"/paper/leveraging-intra-and-inter-dataset-variations","slug":"leveraging-intra-and-inter-dataset-variations","title":"Leveraging intra and inter-dataset variations for robust face alignment","date":"2017-07-21","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-robust-to-pose-expressions-and","title":"Face Alignment Robust to Pose, Expressions and Occlusions","date":"2017-07-19","arxiv_id":"1707.05938","repositories_listed":0,"syntology":null},{"url":"/paper/pose-invariant-face-alignment-with-a-single","slug":"pose-invariant-face-alignment-with-a-single","title":"Pose-Invariant Face Alignment with a Single CNN","date":"2017-07-19","arxiv_id":"1707.06286","repositories_listed":0,"syntology":null},{"url":"/paper/faster-than-real-time-facial-alignment-a-3d","slug":"faster-than-real-time-facial-alignment-a-3d","title":"Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses","date":"2017-07-18","arxiv_id":"1707.05653","repositories_listed":0,"syntology":null},{"url":"/paper/dynamic-facial-analysis-from-bayesian","slug":"dynamic-facial-analysis-from-bayesian","title":"Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-registration-and-representation","title":"Joint Registration and Representation Learning for Unconstrained Face Identification","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-using-k-cluster-regression","title":"Face Alignment Using K-Cluster Regression Forests With Weighted Splitting","date":"2017-06-06","arxiv_id":"1706.01820","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-detection-bounding-box-aggregation-and","title":"Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild","date":"2017-05-05","arxiv_id":"1705.02402","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-face-deblurring","title":"Deep Face Deblurring","date":"2017-04-27","arxiv_id":"1704.08772","repositories_listed":0,"syntology":null},{"url":null,"slug":"godp-globally-optimized-dual-pathway-system","title":"GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild","date":"2017-04-07","arxiv_id":"1704.02402","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-convolution-tree-with-deconvolution","title":"A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection","date":"2017-04-06","arxiv_id":"1704.01880","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-face-detection-and-recognition","title":"End-To-End Face Detection and Recognition","date":"2017-03-31","arxiv_id":"1703.10818","repositories_listed":0,"syntology":null},{"url":null,"slug":"effect-of-super-resolution-on-high","title":"Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild","date":"2017-03-23","arxiv_id":"1704.01464","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-with-cascaded-semi-parametric","title":"Face Alignment with Cascaded Semi-Parametric Deep Greedy Neural Forests","date":"2017-03-05","arxiv_id":"1703.01597","repositories_listed":0,"syntology":null},{"url":null,"slug":"l2gsci-local-to-global-seam-cutting-and","title":"L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction","date":"2017-03-05","arxiv_id":"1703.01605","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-efficient-global-refinement-of","title":"Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment","date":"2017-02-27","arxiv_id":"1702.08481","repositories_listed":0,"syntology":null},{"url":"/paper/kepler-keypoint-and-pose-estimation-of","slug":"kepler-keypoint-and-pose-estimation-of","title":"KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors","date":"2017-02-16","arxiv_id":"1702.05085","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-face-landmark-localization-via","title":"Effective face landmark localization via single deep network","date":"2017-02-09","arxiv_id":"1702.02719","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-end-to-end-face-recognition-through","title":"Towards End-to-End Face Recognition through Alignment Learning","date":"2017-01-25","arxiv_id":"1701.07174","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-likelihood-bayesian-constrained","title":"Efficient Likelihood Bayesian Constrained Local Model","date":"2016-11-30","arxiv_id":"1611.09956","repositories_listed":0,"syntology":null},{"url":null,"slug":"cascaded-face-alignment-via-intimacy","title":"Cascaded Face Alignment via Intimacy Definition Feature","date":"2016-11-21","arxiv_id":"1611.06642","repositories_listed":0,"syntology":null},{"url":null,"slug":"demeshnet-blind-face-inpainting-for-deep","title":"DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification","date":"2016-11-16","arxiv_id":"1611.05271","repositories_listed":0,"syntology":null},{"url":"/paper/dynamic-attention-controlled-cascaded-shape","slug":"dynamic-attention-controlled-cascaded-shape","title":"Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting","date":"2016-11-16","arxiv_id":"1611.05396","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-branching-cascaded-regression-for","title":"Efficient Branching Cascaded Regression for Face Alignment under Significant Head Rotation","date":"2016-11-05","arxiv_id":"1611.01584","repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-off-synthesizing-face-images-in-the","title":"Mask-off: Synthesizing Face Images in the Presence of Head-mounted Displays","date":"2016-10-26","arxiv_id":"1610.08481","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-fast-and-highly-accurate-algorithm","title":"A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image","date":"2016-09-28","arxiv_id":"1609.09058","repositories_listed":0,"syntology":null},{"url":null,"slug":"funnel-structured-cascade-for-multi-view-face","title":"Funnel-Structured Cascade for Multi-View Face Detection with Alignment-Awareness","date":"2016-09-23","arxiv_id":"1609.07304","repositories_listed":0,"syntology":null},{"url":"/paper/convolutional-aggregation-of-local-evidence","slug":"convolutional-aggregation-of-local-evidence","title":"Convolutional aggregation of local evidence for large pose face alignment","date":"2016-09-21","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-recurrent-encoder-decoder-network-for","title":"A Recurrent Encoder-Decoder Network for Sequential Face Alignment","date":"2016-08-19","arxiv_id":"1608.05477","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-in-the-wild-a-survey","title":"Face Alignment In-the-Wild: A Survey","date":"2016-08-15","arxiv_id":"1608.04188","repositories_listed":0,"syntology":null},{"url":"/paper/deep-expectation-of-real-and-apparent-age","slug":"deep-expectation-of-real-and-apparent-age","title":"Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks","date":"2016-08-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cascaded-continuous-regression-for-real-time","title":"Cascaded Continuous Regression for Real-time Incremental Face Tracking","date":"2016-08-03","arxiv_id":"1608.01137","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-deep-representation-from-coarse-to","title":"Learning deep representation from coarse to fine for face alignment","date":"2016-07-31","arxiv_id":"1608.00207","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-pose-face-alignment-via-cnn-based-dense","title":"Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mnemonic-descent-method-a-recurrent-process","title":"Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"occlusion-free-face-alignment-deep-regression","title":"Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/unconstrained-face-alignment-via-cascaded","slug":"unconstrained-face-alignment-via-cascaded","title":"Unconstrained Face Alignment via Cascaded Compositional Learning","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-deformation-network-for-object-landmark","title":"Deep Deformation Network for Object Landmark Localization","date":"2016-05-03","arxiv_id":"1605.01014","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-head-pose-estimation-based-on","title":"Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions","date":"2016-03-31","arxiv_id":"1603.09732","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-by-local-deep-descriptor","title":"Face Alignment by Local Deep Descriptor Regression","date":"2016-01-29","arxiv_id":"1601.07950","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-datasets-with-varying-annotations","title":"Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"piefa-personalized-incremental-and-ensemble","title":"PIEFA: Personalized Incremental and Ensemble Face Alignment","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"regressive-tree-structured-model-for-facial","title":"Regressive Tree Structured Model for Facial Landmark Localization","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-statistical-face-frontalization","title":"Robust Statistical Face Frontalization","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/face-alignment-across-large-poses-a-3d","slug":"face-alignment-across-large-poses-a-3d","title":"Face Alignment Across Large Poses: A 3D Solution","date":"2015-11-23","arxiv_id":"1511.07212","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-arbitrary-view-face-alignment-by","title":"Towards Arbitrary-View Face Alignment by Recommendation Trees","date":"2015-11-20","arxiv_id":"1511.06627","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-of-recent-face-alignment","title":"An Empirical Study of Recent Face Alignment Methods","date":"2015-11-16","arxiv_id":"1511.05049","repositories_listed":0,"syntology":null},{"url":null,"slug":"coarse-to-fine-face-alignment-with-multi","title":"Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression","date":"2015-11-16","arxiv_id":"1511.04901","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-face-alignment-using-a-mixture-of","title":"Robust Face Alignment Using a Mixture of Invariant Experts","date":"2015-11-13","arxiv_id":"1511.04404","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-face-alignment-via-locality","title":"Efficient Face Alignment via Locality-constrained Representation for Robust Recognition","date":"2015-07-25","arxiv_id":"1507.07073","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-multimodal-speaker-naming","title":"Deep Multimodal Speaker Naming","date":"2015-07-17","arxiv_id":"1507.04831","repositories_listed":0,"syntology":null},{"url":null,"slug":"unconstrained-facial-landmark-localization","title":"Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks","date":"2015-07-13","arxiv_id":"1507.03409","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-invariant-3d-face-alignment","title":"Pose-Invariant 3D Face Alignment","date":"2015-06-11","arxiv_id":"1506.03799","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-pictorial-structures","title":"Active Pictorial Structures","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-using-cascade-gaussian-process","title":"Face Alignment Using Cascade Gaussian Process Regression Trees","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"project-out-cascaded-regression-with-an","title":"Project-Out Cascaded Regression With an Application to Face Alignment","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-3d-head-pose-and-facial-landmark","title":"Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unconstrained-3d-face-reconstruction","title":"Unconstrained 3D Face Reconstruction","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unifying-holistic-and-parts-based-deformable","title":"Unifying Holistic and Parts-Based Deformable Model Fitting","date":"2015-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mirror-mirror-on-the-wall-tell-me-is-the","title":"Mirror, mirror on the wall, tell me, is the error small?","date":"2015-01-21","arxiv_id":"1501.05152","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-face-recognition-by-constrained-part","title":"Robust Face Recognition by Constrained Part-based Alignment","date":"2015-01-20","arxiv_id":"1501.04717","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-feature-point-detection-a","title":"Facial Feature Point Detection: A Comprehensive Survey","date":"2014-10-04","arxiv_id":"1410.1037","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-regression-for-face-alignment","title":"Deep Regression for Face Alignment","date":"2014-09-18","arxiv_id":"1409.5230","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-landmark-annotations-for-cross","title":"Transferring Landmark Annotations for Cross-Dataset Face Alignment","date":"2014-09-02","arxiv_id":"1409.0602","repositories_listed":0,"syntology":null},{"url":"/paper/learning-deep-representation-for-face","slug":"learning-deep-representation-for-face","title":"Learning Deep Representation for Face Alignment with Auxiliary Attributes","date":"2014-08-18","arxiv_id":"1408.3967","repositories_listed":0,"syntology":null},{"url":null,"slug":"key-event-detection-in-video-using-asr-and","title":"Key Event Detection in Video using ASR and Visual Data","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-alignment-at-3000-fps-via-regressing","title":"Face Alignment at 3000 FPS via Regressing Local Binary Features","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"gauss-newton-deformable-part-models-for-face","title":"Gauss-Newton Deformable Part Models for Face Alignment in-the-Wild","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incremental-face-alignment-in-the-wild","title":"Incremental Face Alignment in the Wild","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"non-parametric-bayesian-constrained-local","title":"Non-Parametric Bayesian Constrained Local Models","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nonparametric-context-modeling-of-local","title":"Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/one-millisecond-face-alignment-with-an","slug":"one-millisecond-face-alignment-with-an","title":"One Millisecond Face Alignment with an Ensemble of Regression Trees","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"raps-robust-and-efficient-automatic","title":"RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-multi-view-and-partially-occluded","title":"Towards Multi-view and Partially-Occluded Face Alignment","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"fc1ec2d1551e40b993b545a9b1a28ef3e9d285ab58c2df833e41d4d8deefae97","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}