{"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-verification/papers/2","list_of":"/task/face-verification","task":"Face Verification","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":2,"pages_in_order":4,"rows_per_page":100,"rows":[101,200],"of":360,"counts":{"archive_papers_tagged":360,"with_a_code_link":134,"where_syntology_ran_a_sample":32,"not_listed_spam_title":0,"listed":360,"listed_where_code_ran":32,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":27,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":27,"listed_every_run_a_failure_of_syntologys_instrument":5,"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-verification","prev":"/task/face-verification","next":"/task/face-verification/papers/3","papers":[{"url":"/paper/xcos-an-explainable-cosine-metric-for-face","slug":"xcos-an-explainable-cosine-metric-for-face","title":"xCos: An Explainable Cosine Metric for Face Verification Task","date":"2020-03-11","arxiv_id":"2003.05383","repositories_listed":1,"syntology":null},{"url":"/paper/detection-of-face-recognition-adversarial","slug":"detection-of-face-recognition-adversarial","title":"Detection of Face Recognition Adversarial Attacks","date":"2019-12-05","arxiv_id":"1912.02918","repositories_listed":1,"syntology":null},{"url":"/paper/dynamic-multi-task-learning-for-face","slug":"dynamic-multi-task-learning-for-face","title":"Dynamic Multi-Task Learning for Face Recognition with Facial Expression","date":"2019-11-08","arxiv_id":"1911.03281","repositories_listed":1,"syntology":null},{"url":"/paper/deep-meta-metric-learning","slug":"deep-meta-metric-learning","title":"Deep Meta Metric Learning","date":"2019-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-eyeglasses-removal-in-the-wild","slug":"unsupervised-eyeglasses-removal-in-the-wild","title":"Unsupervised Eyeglasses Removal in the Wild","date":"2019-09-16","arxiv_id":"1909.06989","repositories_listed":1,"syntology":null},{"url":"/paper/explanation-based-handwriting-verification","slug":"explanation-based-handwriting-verification","title":"Explanation based Handwriting Verification","date":"2019-08-14","arxiv_id":"1909.02548","repositories_listed":1,"syntology":null},{"url":"/paper/facegenderid-exploiting-gender-information-in","slug":"facegenderid-exploiting-gender-information-in","title":"FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems","date":"2019-06-28","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/semanticadv-generating-adversarial-examples","slug":"semanticadv-generating-adversarial-examples","title":"SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing","date":"2019-06-19","arxiv_id":"1906.07927","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/semanticadv-generating-adversarial-examples#ran","syntology_url":"https://syntology.ai/paper/1906.07927","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.07927"}},"official":{"repos":["AI-secure/SemanticAdv"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/probabilistic-face-embeddings","slug":"probabilistic-face-embeddings","title":"Probabilistic Face Embeddings","date":"2019-04-21","arxiv_id":"1904.09658","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/probabilistic-face-embeddings#ran","syntology_url":"https://syntology.ai/paper/1904.09658","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.09658"}},"official":{"repos":["seasonSH/Probabilistic-Face-Embeddings"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/look-across-elapse-disentangled","slug":"look-across-elapse-disentangled","title":"Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition","date":"2018-09-02","arxiv_id":"1809.00338","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/look-across-elapse-disentangled#ran","syntology_url":"https://syntology.ai/paper/1809.00338","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.00338"}},"official":{"repos":["ZhaoJ9014/High_Performance_Face_Recognition"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/deep-cross-modal-learning-for-caricature","slug":"deep-cross-modal-learning-for-caricature","title":"Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)","date":"2018-07-31","arxiv_id":"1807.11688","repositories_listed":1,"syntology":null},{"url":"/paper/multicolumn-networks-for-face-recognition","slug":"multicolumn-networks-for-face-recognition","title":"Multicolumn Networks for Face Recognition","date":"2018-07-24","arxiv_id":"1807.09192","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/multicolumn-networks-for-face-recognition#ran","syntology_url":"https://syntology.ai/paper/1807.09192","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.09192"}},"official":null}},{"url":"/paper/git-loss-for-deep-face-recognition","slug":"git-loss-for-deep-face-recognition","title":"Git Loss for Deep Face Recognition","date":"2018-07-23","arxiv_id":"1807.08512","repositories_listed":1,"syntology":null},{"url":"/paper/sigan-siamese-generative-adversarial-network","slug":"sigan-siamese-generative-adversarial-network","title":"SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination","date":"2018-07-22","arxiv_id":"1807.08370","repositories_listed":1,"syntology":null},{"url":"/paper/disguisenet-a-contrastive-approach-for","slug":"disguisenet-a-contrastive-approach-for","title":"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild","date":"2018-04-25","arxiv_id":"1804.09669","repositories_listed":1,"syntology":null},{"url":"/paper/semi-supervised-adversarial-learning-to","slug":"semi-supervised-adversarial-learning-to","title":"Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model","date":"2018-04-10","arxiv_id":"1804.03675","repositories_listed":1,"syntology":null},{"url":"/paper/transferring-rich-deep-features-for-facial","slug":"transferring-rich-deep-features-for-facial","title":"Transferring Rich Deep Features for Facial Beauty Prediction","date":"2018-03-20","arxiv_id":"1803.07253","repositories_listed":1,"syntology":null},{"url":"/paper/seqface-make-full-use-of-sequence-information","slug":"seqface-make-full-use-of-sequence-information","title":"SeqFace: Make full use of sequence information for face recognition","date":"2018-03-17","arxiv_id":"1803.06524","repositories_listed":1,"syntology":null},{"url":"/paper/pose-robust-face-recognition-via-deep","slug":"pose-robust-face-recognition-via-deep","title":"Pose-Robust Face Recognition via Deep Residual Equivariant Mapping","date":"2018-03-02","arxiv_id":"1803.00839","repositories_listed":1,"syntology":{"n":15,"n_ran":13,"n_constructed":0,"n_ran_checked":12,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":1,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/pose-robust-face-recognition-via-deep#ran","syntology_url":"https://syntology.ai/paper/1803.00839","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1803.00839"}},"official":null}},{"url":"/paper/face-flashing-a-secure-liveness-detection","slug":"face-flashing-a-secure-liveness-detection","title":"Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections","date":"2018-01-06","arxiv_id":"1801.01949","repositories_listed":1,"syntology":null},{"url":"/paper/locally-smoothed-neural-networks","slug":"locally-smoothed-neural-networks","title":"Locally Smoothed Neural Networks","date":"2017-11-22","arxiv_id":"1711.08132","repositories_listed":1,"syntology":null},{"url":"/paper/improving-shadow-suppression-for-illumination","slug":"improving-shadow-suppression-for-illumination","title":"Improving Shadow Suppression for Illumination Robust Face Recognition","date":"2017-10-13","arxiv_id":"1710.05073","repositories_listed":1,"syntology":null},{"url":"/paper/strengths-and-weaknesses-of-deep-learning","slug":"strengths-and-weaknesses-of-deep-learning","title":"Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations","date":"2017-10-04","arxiv_id":"1710.01494","repositories_listed":1,"syntology":null},{"url":"/paper/cross-age-lfw-a-database-for-studying-cross","slug":"cross-age-lfw-a-database-for-studying-cross","title":"Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments","date":"2017-08-28","arxiv_id":"1708.08197","repositories_listed":1,"syntology":null},{"url":"/paper/semantically-decomposing-the-latent-spaces-of","slug":"semantically-decomposing-the-latent-spaces-of","title":"Semantically Decomposing the Latent Spaces of Generative Adversarial Networks","date":"2017-05-22","arxiv_id":"1705.07904","repositories_listed":1,"syntology":null},{"url":"/paper/quality-aware-network-for-set-to-set","slug":"quality-aware-network-for-set-to-set","title":"Quality Aware Network for Set to Set Recognition","date":"2017-04-11","arxiv_id":"1704.03373","repositories_listed":1,"syntology":null},{"url":"/paper/l2-constrained-softmax-loss-for","slug":"l2-constrained-softmax-loss-for","title":"L2-constrained Softmax Loss for Discriminative Face Verification","date":"2017-03-28","arxiv_id":"1703.09507","repositories_listed":1,"syntology":null},{"url":"/paper/improved-deep-metric-learning-with-multi","slug":"improved-deep-metric-learning-with-multi","title":"Improved Deep Metric Learning with Multi-class N-pair Loss Objective","date":"2016-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/an-all-in-one-convolutional-neural-network","slug":"an-all-in-one-convolutional-neural-network","title":"An All-In-One Convolutional Neural Network for Face Analysis","date":"2016-11-03","arxiv_id":"1611.00851","repositories_listed":1,"syntology":null},{"url":"/paper/a-discriminative-feature-learning-approach","slug":"a-discriminative-feature-learning-approach","title":"A Discriminative Feature Learning Approach for Deep Face Recognition","date":"2016-09-16","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/selective-encoding-for-recognizing-unreliably","slug":"selective-encoding-for-recognizing-unreliably","title":"Selective Encoding for Recognizing Unreliably Localized Faces","date":"2015-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deep-face-recognition","slug":"deep-face-recognition","title":"Deep Face Recognition","date":"2015-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/multi-directional-multi-level-dual-cross","slug":"multi-directional-multi-level-dual-cross","title":"Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition","date":"2014-01-21","arxiv_id":"1401.5311","repositories_listed":1,"syntology":null},{"url":"/paper/large-scale-strongly-supervised-ensemble","slug":"large-scale-strongly-supervised-ensemble","title":"Large Scale Strongly Supervised Ensemble Metric Learning, with Applications to Face Verification and Retrieval","date":"2012-12-25","arxiv_id":"1212.06094","repositories_listed":1,"syntology":null},{"url":null,"slug":"diffclean-diffusion-based-makeup-removal-for","title":"DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation","date":"2025-07-17","arxiv_id":"2507.13292","repositories_listed":0,"syntology":null},{"url":null,"slug":"50-years-of-automated-face-recognition","title":"50 Years of Automated Face Recognition","date":"2025-05-30","arxiv_id":"2505.24247","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-foundation-models-for-zero-shot","title":"Benchmarking Foundation Models for Zero-Shot Biometric Tasks","date":"2025-05-30","arxiv_id":"2505.24214","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-based-adversarial-identity","title":"Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection","date":"2025-04-30","arxiv_id":"2504.21646","repositories_listed":0,"syntology":null},{"url":null,"slug":"found-in-translation-semantic-approaches-for","title":"Found in Translation: semantic approaches for enhancing AI interpretability in face verification","date":"2025-01-06","arxiv_id":"2501.05471","repositories_listed":0,"syntology":null},{"url":null,"slug":"erasablemask-a-robust-and-erasable-privacy","title":"ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models","date":"2024-12-22","arxiv_id":"2412.17038","repositories_listed":0,"syntology":null},{"url":null,"slug":"variface-fair-and-diverse-synthetic-dataset","title":"VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition","date":"2024-12-09","arxiv_id":"2412.06235","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-spectral-attention-for-unsupervised-rgb","title":"Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-identification","date":"2024-11-28","arxiv_id":"2411.19215","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-machine-learning-based-secure-face","title":"A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance","date":"2024-10-29","arxiv_id":"2410.21993","repositories_listed":0,"syntology":null},{"url":"/paper/symface-additional-facial-symmetry-loss-for","slug":"symface-additional-facial-symmetry-loss-for","title":"SymFace: Additional Facial Symmetry Loss for Deep Face Recognition","date":"2024-09-18","arxiv_id":"2409.11816","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-3d-face-reconstruction-and-fusion","title":"Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance","date":"2024-09-16","arxiv_id":"2409.10481","repositories_listed":0,"syntology":null},{"url":null,"slug":"gallery-aware-uncertainty-estimation-for-open","title":"Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition","date":"2024-08-26","arxiv_id":"2408.14229","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-comprehensive-visual-saliency","title":"Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems","date":"2024-07-08","arxiv_id":"2407.05983","repositories_listed":0,"syntology":null},{"url":null,"slug":"v-mad-video-based-morphing-attack-detection","title":"V-MAD: Video-based Morphing Attack Detection in Operational Scenarios","date":"2024-04-10","arxiv_id":"2404.06963","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-quality-in-crowdsourcing-and-spamming","title":"Data Quality in Crowdsourcing and Spamming Behavior Detection","date":"2024-04-04","arxiv_id":"2404.17582","repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-face-verification-via-feature","title":"Explainable Face Verification via Feature-Guided Gradient Backpropagation","date":"2024-03-07","arxiv_id":"2403.04549","repositories_listed":0,"syntology":null},{"url":null,"slug":"utilizing-gans-for-fraud-detection-model","title":"Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data","date":"2024-02-15","arxiv_id":"2402.09830","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-human-concepts-and-computer-vision","title":"Bridging Human Concepts and Computer Vision for Explainable Face Verification","date":"2024-01-30","arxiv_id":"2403.08789","repositories_listed":0,"syntology":null},{"url":null,"slug":"efhq-multi-purpose-extremepose-face-hq","title":"EFHQ: Multi-purpose ExtremePose-Face-HQ dataset","date":"2023-12-28","arxiv_id":"2312.17205","repositories_listed":0,"syntology":null},{"url":"/paper/inclusive-normalization-of-face-images-to","slug":"inclusive-normalization-of-face-images-to","title":"Inclusive normalization of face images to passport format","date":"2023-12-22","arxiv_id":"2312.14544","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-deep-learning-image-verification","title":"Unsupervised Deep Learning Image Verification Method","date":"2023-12-22","arxiv_id":"2312.14395","repositories_listed":0,"syntology":null},{"url":null,"slug":"autoencoder-based-face-verification-system","title":"Autoencoder Based Face Verification System","date":"2023-12-21","arxiv_id":"2312.14301","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-face-recognition-method","title":"Deep Learning Based Face Recognition Method using Siamese Network","date":"2023-12-21","arxiv_id":"2312.14001","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-verification-based-face","title":"Efficient Verification-Based Face Identification","date":"2023-12-20","arxiv_id":"2312.13240","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-attacks-on-face-verification","title":"Generalized Attacks on Face Verification Systems","date":"2023-09-12","arxiv_id":"2309.05879","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-cross-quality-face-verification","title":"Boosting Cross-Quality Face Verification using Blind Face Restoration","date":"2023-08-15","arxiv_id":"2308.07967","repositories_listed":0,"syntology":null},{"url":null,"slug":"imperceptible-physical-attack-against-face","title":"Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation","date":"2023-07-25","arxiv_id":"2307.13294","repositories_listed":0,"syntology":null},{"url":null,"slug":"squeezerfacenet-reducing-a-small-face","title":"SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning","date":"2023-07-20","arxiv_id":"2307.10697","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-fair-face-verification-an-in-depth","title":"Towards Fair Face Verification: An In-depth Analysis of Demographic Biases","date":"2023-07-19","arxiv_id":"2307.10011","repositories_listed":0,"syntology":null},{"url":"/paper/conan-conditional-neural-aggregation-network","slug":"conan-conditional-neural-aggregation-network","title":"CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion","date":"2023-07-16","arxiv_id":"2307.10237","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-the-impact-of-face-image-quality","title":"A Study on the Impact of Face Image Quality on Face Recognition in the Wild","date":"2023-07-05","arxiv_id":"2307.02679","repositories_listed":0,"syntology":null},{"url":null,"slug":"query-efficient-decision-based-black-box","title":"Query-Efficient Decision-based Black-Box Patch Attack","date":"2023-07-02","arxiv_id":"2307.00477","repositories_listed":0,"syntology":null},{"url":null,"slug":"tinysiamese-network-for-biometric-analysis","title":"TinySiamese Network for Biometric Analysis","date":"2023-07-02","arxiv_id":"2307.00578","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-aware-adversarial-makeup-generation-for","title":"3D-Aware Adversarial Makeup Generation for Facial Privacy Protection","date":"2023-06-26","arxiv_id":"2306.14640","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-machine-comparison-for-cross-race-face","title":"Human-Machine Comparison for Cross-Race Face Verification: Race Bias at the Upper Limits of Performance?","date":"2023-05-25","arxiv_id":"2305.16443","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-visual-saliency-explanations-of-face","title":"Towards Visual Saliency Explanations of Face Verification","date":"2023-05-15","arxiv_id":"2305.08546","repositories_listed":0,"syntology":null},{"url":null,"slug":"age-invariant-face-embedding-using-the","title":"Age-Invariant Face Embedding using the Wasserstein Distance","date":"2023-05-04","arxiv_id":"2305.02745","repositories_listed":0,"syntology":null},{"url":null,"slug":"racial-bias-within-face-recognition-a-survey","title":"Racial Bias within Face Recognition: A Survey","date":"2023-05-01","arxiv_id":"2305.00817","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-data-variation-robust-learning-model-based","title":"An information-theoretic learning model based on importance sampling","date":"2023-02-09","arxiv_id":"2302.04438","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-adversarial-attacks-on-face","title":"Semantic Adversarial Attacks on Face Recognition through Significant Attributes","date":"2023-01-28","arxiv_id":"2301.12046","repositories_listed":0,"syntology":null},{"url":null,"slug":"gh-feat-learning-versatile-generative","title":"GH-Feat: Learning Versatile Generative Hierarchical Features from GANs","date":"2023-01-12","arxiv_id":"2301.05315","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-representations-for-masked-facial","title":"Learning Representations for Masked Facial Recovery","date":"2022-12-28","arxiv_id":"2212.14110","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-brief-survey-on-person-recognition-at-a","title":"A Brief Survey on Person Recognition at a Distance","date":"2022-12-17","arxiv_id":"2212.08969","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-2d-and-3d-master-faces-for","title":"Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution","date":"2022-11-25","arxiv_id":"2211.13964","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-audio-visual-embedding-for-wild","title":"Learning Audio-Visual embedding for Person Verification in the Wild","date":"2022-09-09","arxiv_id":"2209.04093","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-gan-induced-attribute-manipulations","title":"Can GAN-induced Attribute Manipulations Impact Face Recognition?","date":"2022-09-07","arxiv_id":"2209.02941","repositories_listed":0,"syntology":null},{"url":null,"slug":"gessure-a-robust-face-authentication-enabled","title":"GesSure- A Robust Face-Authentication enabled Dynamic Gesture Recognition GUI Application","date":"2022-07-22","arxiv_id":"2207.11033","repositories_listed":0,"syntology":null},{"url":null,"slug":"activation-template-matching-loss-for","title":"Activation Template Matching Loss for Explainable Face Recognition","date":"2022-07-05","arxiv_id":"2207.02179","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-towards-the-largest-margins-1","title":"Learning Towards the Largest Margins","date":"2022-06-23","arxiv_id":"2206.11589","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-morphing-attack-detection-using-1","title":"Single Morphing Attack Detection using Siamese Network and Few-shot Learning","date":"2022-06-22","arxiv_id":"2206.10969","repositories_listed":0,"syntology":null},{"url":null,"slug":"reface-real-time-adversarial-attacks-on-face","title":"ReFace: Real-time Adversarial Attacks on Face Recognition Systems","date":"2022-06-09","arxiv_id":"2206.04783","repositories_listed":0,"syntology":null},{"url":null,"slug":"thermal-to-visible-image-synthesis-under","title":"Thermal to Visible Image Synthesis under Atmospheric Turbulence","date":"2022-04-06","arxiv_id":"2204.03057","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-verification-bypass","title":"Face Verification Bypass","date":"2022-03-28","arxiv_id":"2203.15068","repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-visual-character-profiles-for-detecting","title":"Audio visual character profiles for detecting background characters in entertainment media","date":"2022-03-21","arxiv_id":"2203.11368","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-dive-into-dataset-imbalance-and-bias","title":"A Deep Dive into Dataset Imbalance and Bias in Face Identification","date":"2022-03-15","arxiv_id":"2203.08235","repositories_listed":0,"syntology":null},{"url":null,"slug":"us-gan-on-the-importance-of-ultimate-skip","title":"US-GAN: On the importance of Ultimate Skip Connection for Facial Expression Synthesis","date":"2021-12-24","arxiv_id":"2112.13002","repositories_listed":0,"syntology":null},{"url":null,"slug":"distill-and-de-bias-mitigating-bias-in-face","title":"Distill and De-bias: Mitigating Bias in Face Verification using Knowledge Distillation","date":"2021-12-17","arxiv_id":"2112.09786","repositories_listed":0,"syntology":null},{"url":null,"slug":"ltt-gan-looking-through-turbulence-by","title":"LTT-GAN: Looking Through Turbulence by Inverting GANs","date":"2021-12-04","arxiv_id":"2112.02379","repositories_listed":0,"syntology":null},{"url":null,"slug":"longitudinal-analysis-of-mask-and-no-mask-on","title":"Longitudinal Analysis of Mask and No-Mask on Child Face Recognition","date":"2021-10-29","arxiv_id":"2111.00121","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-effect-of-wearing-a-face-mask-on-face","title":"The Effect of Wearing a Face Mask on Face Image Quality","date":"2021-10-21","arxiv_id":"2110.11283","repositories_listed":0,"syntology":null},{"url":"/paper/rectifying-the-data-bias-in-knowledge","slug":"rectifying-the-data-bias-in-knowledge","title":"Rectifying the Data Bias in Knowledge Distillation","date":"2021-10-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-adversarial-spoofing-attacks","title":"Universal Adversarial Spoofing Attacks against Face Recognition","date":"2021-10-02","arxiv_id":"2110.00708","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-protecting-face-embeddings-in-mobile","title":"Towards Protecting Face Embeddings in Mobile Face Verification Scenarios","date":"2021-10-01","arxiv_id":"2110.00434","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-synthesis-based-approach-for-thermal-to","title":"A Synthesis-Based Approach for Thermal-to-Visible Face Verification","date":"2021-08-21","arxiv_id":"2108.09558","repositories_listed":0,"syntology":null},{"url":null,"slug":"selm-siamese-extreme-learning-machine-with","title":"SELM: Siamese Extreme Learning Machine with Application to Face Biometrics","date":"2021-08-06","arxiv_id":"2108.03140","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-face-verification-models-from","title":"Training face verification models from generated face identity data","date":"2021-08-02","arxiv_id":"2108.00800","repositories_listed":0,"syntology":null}],"record_sha256":"8b8252db9b0febc2c0a59af93cb9907bd39d175e0e07d243e7e609c2f5f095cb","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}