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

• EXPLORING LEARNING GAPS AND SUPPORT NEEDS IN DIFFERENTIATION AND INTEGRATION TOPIC
  Maziharita Mohamood · MALAYSIAN JOURNAL OF INNOVA... · Nov 15, 2026

  The purpose of this research was to explore any learning difficulties faced by students enrolled in Differentiation and Integration under the course DBM20173 of Engineering Mathematics 2. The aim was to pinpoint possible reasons that affect…

• 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…

• Uncertainty-aware Feedback Loop Diagnosis: integrating reinforcement learning and conformal prediction for reliable wafer defect classification
  Aleksandr Dekhovich, Carlas Smith, Oleg Soloviev · arXiv · Oct 29, 2026

  Semiconductor manufacturing is a complex, multi-step process that requires both high precision and low operating costs. Therefore, detecting defects in a high-volume setting is an important component of wafer map analysis for reliable produ…

• Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
  Prakhar Kaushik, Soumava Paul, Alan Yuille · arXiv · Oct 27, 2026

  Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal su…

• ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
  Chaehyun Kim, Chi-Pin Huang, Jisoo Kim, Min-Hung Chen et al. · arXiv · Oct 27, 2026

  Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader…

• Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?
  Jialv Zou, Xiaotong Li, Zhengrong Yue, Xu Huang et al. · arXiv · Oct 27, 2026

  Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction objective. However, quantization error is widely assumed to cause una…

• ALADDIN: Adversarial Latent Diffusion Distillation for One-Step Identity Swapping
  Ivan Shchekotov, Timofei Gritsaev, Viacheslav Pirogov, Dmitry Vetrov · arXiv · Oct 27, 2026

  Face swapping transfers a source identity onto a target image while preserving the target's pose, expression, hair, and lighting. The most realistic current methods are diffusion-based, but they need many network evaluations per image. GAN-…

• Representing the Unseen: Rethinking Visual Imagination for Spatial Reasoning
  Zengqi Zhao, Zun Wang, Shoubin Yu, Mohit Bansal et al. · arXiv · Oct 27, 2026

  Visual world models increasingly support spatial reasoning by generating RGB views of unobserved states. However, RGB has become the default interface largely because it is well suited for visual generation, rather than necessarily being th…

• ScIntBench: Physical Interaction Plausibility in 3D Scene Generation
  Wendi Ying, Daochang Liu, Leonid Sigal, Ajmal Saeed Mian · arXiv · Oct 27, 2026

  Existing evaluations of text-conditioned 3D indoor scene generation largely emphasize semantic fidelity and physical validity at rest, leaving interaction-time physical reliability insufficiently assessed. To address this gap, we introduce …

• MedVTok: A General-Purpose Medical Visual Tokenizer
  Chenglong Ma, Yuanfeng Ji, Junzhi Ning, Jiyao Liu et al. · arXiv · Oct 26, 2026

  Multimodal medical AI requires a common visual interface for encoding heterogeneous imaging evidence for patient condition modeling. However, existing medical visual tokenizers are often tied to a specific dimension and imaging modality, fo…

• VidEdit3D: Flexible 3D Gaussian Editing with Video Diffusion
  Yanming Yang, Chenxi Song, Tong Zhao, Juntao Xu et al. · arXiv · Oct 26, 2026

  Recent advancements in text-guided 3D editing, particularly with 3D Gaussian Splatting (3DGS), have shown promise but still lag behind the flexibility of 2D editing tools. Existing methods face a critical trade-off between preserving multi-…

• OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
  Junyeong Ahn, Geonwoo Kim, Kinam Kim, Gihwi Kim et al. · arXiv · Oct 26, 2026

  Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfaces that are not visible in the input. Early subject-to-video (S2V) methods condition on a single reference image and must …

• Printed and Scanned: Exposing the Fragility of Single-Image Morphing Attack Detectors under Print-Scan Degradation
  Diogo J. Paulo, Hugo Proença, João C. Neves · arXiv · Oct 26, 2026

  Face morphing attacks, in which the biometric traits of two or more identities are blended into a single face image, pose a severe threat to identity document issuance and automated border control. Consequently, a large body of work has pro…

• VPR-Space: A Benchmark for Visual Place Recognition in Space Analog Domains
  Richard Fechner, Peer Neubert · arXiv · Oct 26, 2026

  Visual Place Recognition (VPR) is an important means for loop closure detection in visual Simultaneous Localization and Mapping (SLAM). While state-of-the-art VPR and SLAM approaches excel in urban and feature-rich natural environments, the…

• Synthetic Deformable Tubular Benchmark: A mechanically annotated dataset for evaluating deformable 3D reconstruction
  Íñigo Cirauqui-Viloria · arXiv · Oct 26, 2026

  Evaluating deformable 3D reconstruction requires ground truth linking camera motion, surface deformation, material correspondence and image appearance. We introduce the Synthetic Deformable Tubular Benchmark, generated with LumenMorph, an o…

• VTRL-Med: Progressive Visual Refinement with Topology-Guided Regularization for Medical Image Clustering
  Guangyu Meng, Pengfei Gu, Peixian Liang, John P. Lalor et al. · arXiv · Oct 23, 2026

  Deep clustering offers a promising approach for analyzing large unlabeled medical image datasets, yet prevailing methods still face two limitations: they may neglect class-agnostic structural priors that capture object boundaries and region…

• BrickWright: Agentic Creation of Physically Feasible Brick Builds
  Ava Pun, Kevin Dai, Sally Chen, Maxwell Jones et al. · arXiv · Oct 22, 2026

  Frontier coding agents are becoming increasingly adept at 3D modeling. Yet, they still face challenges when building objects meant to be assembled in the physical world, often creating invalid assemblies with floating, colliding, or disconn…

• Squaring-the-Sphere: Distortion-Free and Seamless Panorama Generation via CubeAtlas
  Xuhui Zuo, Chenjie Cao, Tengfei Wang, Junta Wu et al. · arXiv · Oct 22, 2026

  Generating 360-degree panoramas requires both local perspective fidelity and global spherical continuity. Existing representations face a trade-off: equirectangular projection (ERP) enables seamless panorama modeling but suffers from severe…

• PhysiCalWorld: In-Context Physics Calibration for World Models
  Yunhao Luo, Wentao He, Yinpei Dai, Hyelin Nam et al. · arXiv · Oct 21, 2026

  Existing world models typically perceive a scene through current visual frame or a narrow history window. However, these observations may not reveal the physics properties that determine transition dynamics, such as an object's mass distrib…

• Asking a Multimodal LLM Whether Someone Fell: Zero-Shot Screening of Low-Resolution Thermal Video in a Laboratory and an Occupied Home
  Marcos Junca, Mauro Junca · arXiv · Oct 21, 2026

  Thermal cameras can watch over older people living alone without capturing faces, and multimodal large language models (LLMs) can judge a short video without task-specific training. We evaluate a production multimodal LLM, Gemini 3.8 Flash …

• Compositionality with Primitives: A Unified View from Euclidean to Hyperbolic Vision-Language Models
  Puru Vaish, Meelad Dashti, Christoph Brune, Pascal Mettes et al. · arXiv · Oct 21, 2026

  Compositional zero-shot learning (CZSL) aims to recognize novel combinations of previously observed objects and attributes. Prior work showed that large-scale vision-language models encode decomposable semantic structures that can be recomp…

• Neural Implicit Energy Optimization for LiDAR Mapping
  Hrishikesh Viswanath, Md Ashiqur Rahman, Chi Lin, Damon Conover et al. · arXiv · Oct 20, 2026

  Neural implicit representations provide memory-efficient signed distance field (SDF) parameterizations for large-scale LiDAR scenes, but the geometry recovered from sparse and often noisy inputs carries jitter and artifacts. Classical geome…

• Can a Display Be Used for Rapid LiDAR-Camera Extrinsic Calibration?
  Zuhao Zou, Xiangcheng Hu, Jianhao Jiao, Jin Wu · arXiv · Oct 20, 2026

  ScreenCalib enables light detection and ranging (LiDAR)--camera extrinsic calibration using an ordinary programmable display, providing known visual markers and controlled geometry while reducing dedicated target preparation. The camera obs…

• Copyright Leakage Detection in AI Generated Videos
  Shaif Chowdhury, Moshiur Rahman Tonmoy · arXiv · Oct 20, 2026

  Video generation models can create realistic-looking video footage from images and text prompts. Some of the recent advances have raised concerns about the reproduction of copyrighted visual content. However, copyright leakage detection in …

• A Flexible ROI Analysis Tool for Spatially Consistent Vegetation Index Extraction from Turfgrass Imagery
  Kibon Ku, Thai Thanh Tuan, Jinhyun Ahn · arXiv · Oct 19, 2026

  Time-series multispectral imaging is widely used to assess turfgrass condition; however, extracting plot-level vegetation index (VI) values remains labor-intensive when camera positions vary between acquisitions and automated plot tracking …

• From Short Clips to Real-Time Streams: Identity-Aware Supervision and Context-Efficient Generation for Video Face Swapping
  Zekai Luo, Yuwei Liang, Ruiqi Ma, Haoyu Huang et al. · arXiv · Oct 19, 2026

  Video face swapping transfers the reference identity to a target video while preserving its other attributes and motion. Despite recent progress in reference-guided flow-based methods, jointly achieving faithful identity transfer, high fide…

• Synthetic Image Oversampling for Rare-Class Representation Learning in Deep Facial Phenotyping
  Miles Liao, Zhanliang Wang, Hongzhuo Chen, Kai Wang · arXiv · Oct 16, 2026

  Recent deep facial phenotyping methods can support the recognition of genetic syndromes, but patient images are often scarce and unevenly distributed across disorders. Synthetic facial images offer a way to supplement the training data with…

• An Efficient Approach to Beetle Damage Detection of Banana Using Deep Learning
  Md. Mehedi Hasan Naeem, Ishtiyak Ahmmad Araf, Md. Arefin Haque Mahir, Tushar Kanti Saha · arXiv · Oct 16, 2026

  Visible surface damage of banana fruits by Basilepta subcostata (the banana fruit scarring beetle) can reduce their market value. Here, manual inspection of Banana fruits is subjective and difficult to scale. This study presents a lightweig…

• LiveSync: Iterative Self-Training for Lip-Sync Generation
  Huaishao Luo, Huan Zhang, Guanbo Bao, Yinglu Liu et al. · arXiv · Oct 16, 2026

  Audio-driven lip synchronization aims to match target speech through localized mouth and jaw articulation while preserving subject identity, head pose, and surrounding facial context. Naturally recorded videos provide synchronized reconstru…

• Dense4D: Pixel-Level 4D Human Correspondence
  Rıza Alp Güler · arXiv · Oct 15, 2026

  Reconstructing human motion in 4D requires identifying the same surface points through articulation, deformation and changes in visibility. We introduce Dense4D, to our knowledge the first feed-forward model dedicated to dense 4D correspond…