Latest Face Recognition Research Papers

The newest Face Recognition papers from across the field — arXiv, NeurIPS, CVPR, Nature, and more — refreshed daily and ranked by relevance. Distill AI tracks Face Recognition so you don’t have to: get the standout work delivered to your inbox every morning, with 2-sentence summaries and the option to chat with any paper.

Recent papers

• A Lightweight Browser-Based Facial Recognition Framework for Preventing Impersonation in Computer-Based Examinations
  Muyideen Abdulraheem · Zenodo (CERN European Organ... · Nov 11, 2026

  The rise of Computer-Based Testing (CBT) in academic institutions has streamlined assessment processes but introduced challenges in preventing impersonation, threatening exam integrity. This study proposes a real-time facial recognition sys…

• A Lightweight Browser-Based Facial Recognition Framework for Preventing Impersonation in Computer-Based Examinations
  Muyideen Abdulraheem · Zenodo (CERN European Organ... · Nov 11, 2026

  The rise of Computer-Based Testing (CBT) in academic institutions has streamlined assessment processes but introduced challenges in preventing impersonation, threatening exam integrity. This study proposes a real-time facial recognition sys…

• SenseNova-U1.5: Towards Native Unified Visual Intelligence
  Haiwen Diao, Jiahao Wang, Chenjing Ding, Hanming Deng et al. · arXiv · Sep 10, 2026

  We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture. We strengthen its visual interface through spatially coheren…

• Guided Super-Resolution of Digital Elevation Models with Diffusion-Based Image Generators
  Armand Mihai Nicolicioiu, Dominik Narnhofer, Nando Metzger, Daniel Panangian et al. · arXiv · Sep 10, 2026

  High-resolution digital surface models (DSMs) play an important role in urban analysis, 3D building reconstruction, and infrastructure monitoring, yet their availability remains limited due to the high cost and complexity of data acquisitio…

• Language-Augmented Semantic Priors for B-Spline Surface Fitting
  Yunzhong Lou, Yusheng Luo, Jiahao Li, Yu Song et al. · arXiv · Sep 10, 2026

  The use of B-splines and Non-Uniform Rational B-Splines surfaces constitutes the mathematical foundation of contemporary computer-aided design (CAD) systems. Despite long-term progress, geometric kernels in traditional CAD still rely heavil…

• Single-Stream Multi-Feature Fusion with Temporal Robustness for Gait Emotion Recognition
  Shirong Lyu, Silu Quan, Yixuan Ding, Chengpeng Wang · arXiv · Sep 10, 2026

  3D skeleton-based gait emotion recognition faces high annotation costs, data scarcity, and poor generalization on heterogeneous data. This paper proposes SV-GCN, a single-stream multi-feature fusion framework with temporal invariance. We in…

• Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations
  Heinrich Jiang, Hager Yasser Mohamed, Alexander Hitt, Valeriia Lomakina et al. · arXiv · Sep 10, 2026

  Boundary representation (B-rep) is the standard format used by modern CAD systems for parametric 3D models. It turns out, the exact same solid can be represented by different B-reps: for example, two engineers using different operations, a …

• Harnessing Intrinsic Subject-Aware Attention for Controllable Multi-Subject Video Generation
  Niange Yu, Ye Tian, Biaolong Chen, Miao Lu et al. · arXiv · Sep 10, 2026

  Multi-subject video generation faces two key challenges: uncontrollable fidelity strength and potential semantic drift. We address these by analyzing the internal mechanisms of Diffusion Transformers (DiTs). We found that certain attention …

• FreeFlow: A Bias-free Hierarchical Transformer for Optical Flow Estimation
  Vladislav Bargatin, Alexander Yakovenko, Khaled Abud, Dmitriy Vatolin · arXiv · Sep 10, 2026

  Optical flow methods typically rely on task-specific inductive biases, such as correlation volumes, feature warping, and iterative refinement, among others, to reach high accuracy. While effective, such biases constrain the model to predefi…

• Show-Harness: Just a VLM Agent Can Play Robots
  Yanzhe Chen, Zechen Bai, Zhijun Cao, Wenzheng Zeng et al. · arXiv · Sep 9, 2026

  Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to "play" robots t…

• SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation
  Anjith George, Adam Unal, Sebastien Marcel · arXiv · Sep 9, 2026

  Face recognition (FR) is a widely used modality for biometric authentication, but conventional models rely on visible-spectrum imagery and degrade when high-quality RGB images cannot be captured. Cross-spectral face recognition addresses th…

• CoSA: Correlation-Guided Change A ttention with Learnable Residual Gating for Remote Sensing Change Detection
  Abdirashid Omar, Jonghyuk Park · arXiv · Sep 8, 2026

  Pixel-level annotation of fixed traffic-camera imagery is expensive, while crosswalk models trained from street-level imagery face a substantial viewpoint and appearance shift when applied to elevated CCTV. We investigate a data-efficient t…

• FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory
  Woosang Jeon, Sanghyeok Choi, Minwoo Kim, Taehyun Jung et al. · arXiv · Sep 8, 2026

  Language-guided robots need persistent scene memories to follow instructions, revisit objects, and resolve references to objects encountered over time. While much of language-guided scene-memory retrieval has emphasized spatial or relationa…

• SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation
  Linnan Zhao, Xu Liu, Lingling Li, Licheng Jiao et al. · arXiv · Sep 8, 2026

  Reasoning segmentation converts an implicit linguistic conclusion into a precise mask, requiring both semantic identification and spatial grounding. Existing MLLM-segmenter interfaces either use a special trigger or compress both signals in…

• DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
  Lázaro J. González‐Soler, A. Dörsch, Christian Rathgeb, Christoph Busch · Zenodo (CERN European Organ... · Sep 4, 2026

  In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancies between suspected morphs and live capture images. In contr…

• DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
  Lázaro J. González‐Soler, A. Dörsch, Christian Rathgeb, Christoph Busch · Zenodo (CERN European Organ... · Sep 4, 2026

  In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancies between suspected morphs and live capture images. In contr…

• Catalogue Photography as a Cold Start: Toward Deployable Carbide Burr Recognition
  Abilash Philip Madavath, Chandra Yuvesh Aubeeluck, Augustin Raju, Nicolas Pyschny et al. · arXiv · Sep 3, 2026

  Verifying that manufactured batches of milling tools or carbide rotary burrs conform to production order sheets remains a largely manual and error-prone quality assurance task. Automating this process with computer vision faces a critical c…

• Thinking in Pictures: A Systematic Benchmark for Reasoning-driven Image Generation
  Yutong Liu, Nan Huang, Xu Cao, James M. Rehg · arXiv · Sep 2, 2026

  Recent advancements in unified generative models (UGMs) and world simulators have achieved unprecedented results in visual perception and synthesis. However, these models primarily rely on surface-level event alignment, leaving the capacity…

• Video-Based Palm-Vein Authentication under Challenging Conditions
  Xiaofeng Yan, Kechen Liu, Abhilash Venkatesh, Cathy Zhang et al. · arXiv · Sep 2, 2026

  Palm-vein biometrics are increasingly used for secure, contactless authentication. Yet real-world deployment exposes them to surface noise (sweat, dirt), illumination and motion variation, and temperature-driven changes in vascular visibili…

• Multi-Tool Image Editing Attribution in Facial Forgery
  Sheng Liu, Qiang Sheng, Danding Wang, Yu Li et al. · arXiv · Sep 2, 2026

  As generative AI tools become increasingly powerful and easy to use, people can easily edit portrait images with a prompt, necessitating the task of image editing attribution, which predicts the involved editing tools from the given image. …

• H3-World: Turning Language Understanding into World Control
  Danze Chen, Zeqing Wang, Ziyue Lin, Xingyi Yang et al. · arXiv · Sep 1, 2026

  We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model. Our key finding is that, as large video generators become more capable, language is emerging as a natural interface f…

• A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data
  Andres F. Monsalve, Hernan A. Moreno, Christian D. Kummerow · arXiv · Sep 1, 2026

  Historically, retrieving rainfall data from satellite imagery has been the domain of space agencies. However, in recent years, the development of cheaper, more compact satellites (SmallSats) capable of detecting rainfall proxies has led to …

• Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation
  Lucas Cunha, Lucas Sotomaior, Lucas Gasperin, Beatriz Caldas et al. · arXiv · Sep 1, 2026

  Face forgery detectors often achieve strong results on controlled benchmarks, but their reliability under realistic image degradations remains limited. This paper presents a standardized benchmark for face forgery detection using the Multi-…

• CameraEditor: Camera-Controlled Image Editing via Video-Prior Sequential Modeling
  Xin Shen, Chengyou Jia, Keshuo Xing, Zifeng Zhu et al. · arXiv · Sep 1, 2026

  Beyond semantic content, camera parameters play a pivotal role in dictating the geometric perspective and appearance of any given image. While recent image editing models excel at semantic and stylistic manipulation, they struggle with expl…

• Longstanding mental representations of familiar faces
  Sarah Laurence, A. Mike Burton, Camilla Düring, Jen Pink et al. · White Rose Research Online ... · Sep 1, 2026
• BRF-GS: Hyperspectral Bidirectional Reflectance Factor Modeling and Image Generation Based on 3D Gaussian Splatting
  Yiling Yao, Wenjuan Zhang, Bowen Wang, Bocheng Li et al. · arXiv · Aug 31, 2026

  The bidirectional reflectance factor (BRF) characterizes the directional radiative properties of terrestrial surfaces. However, existing three-dimensional (3D) radiative transfer models require complex scene construction and computationally…

• Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices
  Jose D. Vargas-Quiros, Dennis Bontempi, Jeroen Vermeulen, Bart Liefers et al. · arXiv · Aug 31, 2026

  Patient identity errors can compromise longitudinal medical records, research databases, and downstream clinical decisions. We present a retinal biometric system for verifying claimed identities and retrieving the correct identity from colo…

• Identity-Conditioned Latent Consistency Distillation for Face Synthesis
  Tiago Kienen Chaves, Bernardo Biesseck, David Menotti · arXiv · Aug 31, 2026

  Diffusion models have achieved strong results in high-fidelity image synthesis, but their iterative sampling process makes large-scale generation computationally expensive. This limitation is especially relevant when generating synthetic fa…

• FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture
  Rukhshanda Hussain, Noé Artru, Emeline Got, Luiz Gustavo Hafemann et al. · arXiv · Aug 31, 2026

  Lightstage facial capture produces production-quality digital humans, but it is resource and labor-intensive. Multi-camera setups, hours of computation, and massive data storage create bottlenecks that hinder iterative workflows. This paper…

• DARP: A Calibrated Dual-Arm RGB-D-IR Dataset for Multi-View Robotic Perception
  Manish Kansana, Mohammed Yusuf Mujawar, Sudip Mittal, Shahram Rahimi et al. · arXiv · Aug 31, 2026

  Robotic perception from a single viewpoint is often limited by self-occlusion and incomplete surface visibility. This paper presents DARP(Dual-Arm Robotic Perception) https://doi.org/10.21227/rmv3-be47, a calibrated dual-arm RGB-D-IR datase…