Face Recognition

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Overview

Face recognition studies how to verify whether two samples show the same person or identify someone in a gallery despite changes in pose, lighting, age, occlusion, image quality, and sensing modality. Most systems learn discriminative embeddings with convolutional neural networks or vision transformers and margin-based losses, while other approaches use quality-aware matching, synthetic data, image restoration, or cross-spectral and video features. Evaluation spans verification and identification benchmarks such as LFW, IJB-B/C, and RFW, alongside low-resolution, masked, and unconstrained settings; researchers also examine subgroup errors, calibration, attacks, template privacy, and explanation quality. A central tension is achieving reliable recognition without sacrificing fairness, privacy, or security: synthetic data and preprocessing may help but do not always transfer to real conditions, and high aggregate accuracy or fixed thresholds do not guarantee safe decisions.

Latest papers

CardsList

108 papers7 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition

    Apr 10, 2026Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2Face RecognitionHybrid CNN-Transformer Architectures

    Department of Electro-Optics, National Formosa University, Taiwan · Department of Electrical Engineering University of Muhammadiyah Malang, Indonesia · Department of Electrical Engineering, National Taipei University, Taiwan +1

  2. Compatibility of Face Embeddings Across Deep Neural Networks

    Apr 8, 2026Fizza Rubab, Yiying Tong, Arun RossFace RecognitionLatent Space Alignment

    Michigan State University

  3. EventFace: Event-Based Face Recognition via Structure-Driven Spatiotemporal Modeling

    Apr 8, 2026Qingguo Meng, Xingbo Dong, Zhe Jin +1Face RecognitionEvent-Based Vision

    State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, the Anhui Provincial Key Laboratory of Secure Artificial Intelligence, Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, and the School of Artificial Intelligence, Anhui University, Hefei, China · Computer Vision Laboratory, University of Sassari, 07100 Sassari, Italy

  4. Why Aggregate Accuracy is Inadequate for Evaluating Fairness in Law Enforcement Facial Recognition Systems

    Mar 30, 2026Khalid Adnan AlsayedAlgorithmic FairnessGroup Fairness

    Founder, Ducaltus | AI Assurance & Governance · BSc (Hons) Artificial Intelligence · School of Computing, Engineering & Digital Technologies

  5. From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera

    Mar 30, 2026Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy Vatolin +1Adversarial AttacksAdversarial Patch Attacks

    Lomonosov MSU, Moscow, Russia · AI Center, Lomonosov MSU, IAI MSU, Moscow, Russia

  6. AI-Powered Facial Mask Removal Is Not Suitable For Identification

    Mar 29, 2026Emily A Cooper, Hany FaridDigital Image ForensicsFace Recognition

    Herbert Wertheim School of Optometry & Vision Science University of California, Berkeley · School of Information University of California, Berkeley

  7. Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification

    Mar 26, 2026Ünsal Öztürk, Hatef Otroshi Shahreza, Sébastien MarcelAlgorithmic FairnessMultimodal Large Language Models

    Idiap Research Institute, Switzerland

  8. Adversarial Camouflage

    Mar 23, 2026Paweł Borsukiewicz, Daniele Lunghi, Melissa Tessa +2Physical Adversarial AttacksFace Recognition

    University of Luxembourg, Luxembourg, Luxembourg

  9. MLLM-based Textual Explanations for Face Comparison

    Mar 17, 2026Redwan Sony, Anil K Jain, Arun RossFaithfulness of Language Model ExplanationsFace Recognition

    Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

  10. The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning

    Mar 16, 2026Ana Dias, João Ribeiro Pinto, Hugo Proença +1Face RecognitionRepresentation Learning

    University of Beira Interior, Portugal · IT: Instituto de Telecomunicações · NOVA LINCS +1

  11. Machine Pareidolia: Protecting Facial Image with Emotional Editing

    Mar 4, 2026Binh M. Le, Simon S. WooPrivacy-Preserving MLImage Editing

    Sungkyunkwan University, Suwon, South Korea

  12. AHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification

    Feb 25, 2026Hoang-Nhat NguyenBiometric IdentificationFace Recognition

    Faculty of Mathematics and Informatics, Hanoi University of Science and Technology

  13. IDperturb: Enhancing Variation in Synthetic Face Generation via Angular Perturbation

    Feb 21, 2026Fadi Boutros, Eduarda Caldeira, Tahar Chettaoui +1Synthetic Data GenerationFace Recognition

    Fraunhofer Institute for Computer Graphics Research IGD, Germany · TU Darmstadt, Germany

  14. Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face

    Feb 18, 2026Nicolò Di Domenico, Annalisa Franco, Matteo Ferrara +1Identity-Preserving Image GenerationFace Recognition

    Department of Computer Science and Engineering, University of Bologna, Italy

  15. FaceLinkGen: A Re-evaluation of Identity Leakage in Privacy-Preserving Face Recognition and Face Anonymization Systems Using Simple Distillation

    Feb 2, 2026Wenqi Guo, Qingyun Qian, Mohamed Shehata +1Model Inversion AttacksPrivacy-Preserving ML

    Department of Computer Science, Mathematics, Physics and Statistics University of British Columbia, Kelowna, BC, Canada

  16. Two-Step Data Augmentation for Masked Face Detection and Recognition: Turning Fake Masks to Real

    Dec 13, 2025Yan Yang, George Bebis, Mircea NicolescuSynthetic Data AugmentationObject Detection

    Department of Computer Science and Engineering, University of Nevada, Reno, 1664 N Virginia St, Reno, NV 89557, USA

  17. ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Recognition

    Jun 11, 2025Parsa Rahimi, Sebastien MarcelSynthetic Data AugmentationSynthetic Data Generation

    1EPFL, Switzerland · 2Idiap, Switzerland

  18. Facial Recognition Leveraging Generative Adversarial Networks

    May 17, 2025Zhongwen Li, Zongwei Li, Xiaoqi LiFace RecognitionData Augmentation

    School of Cyberspace Security, Hainan University, Haikou, China