Papers Face Detection
“Face Detection” 태그가 달린 논문 577편 · 필터 해제
GeminiPainter's sequence-formed pipeline comprised of perception, cognition, planning, and action stages
We present an autonomous robotic portrait-generation system combining real-time face detection, AI-based sketch generation, and robotic drawing. The system captures video frames, extracts facial regions, converts them in…
Face DetectionHiding in Plain Sight: An Effective Physical Adversarial Patch Attack against Visual-Infrared Fused Face Detection
Deep learning-based visual-infrared fused face detection models are increasingly deployed across a wide range of applications, yet they remain susceptible to adversarial patch attacks. Most prior attacks target either th…
Face DetectionNon-contact, Real-time, Heart-rate Measurement using Image Processing with Commodity Cameras and AI Agents
Heart rate measurement is one of the key requirements for real-time health monitoring, in particular for health caring of elderly people. Traditional heart rate measurement relies on contact sensing mechanisms such as so…
Face DetectionVisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval
Over 285 million people worldwide live with a visual impairment, for whom everyday tasks such as avoiding obstacles, locating personal belongings, recognizing familiar faces, or handling cash remain persistent obstacles …
Monocular Depth EstimationInstance SegmentationSpeech SynthesisFace DetectionWIDER-FAIR: An Annotated Version of the WIDER-FACE Dataset for Fairness Evaluation
The deployment of face detection models in real-world applications raises important fairness concerns, as these systems may showcase performance disparities across demographic groups. A key obstacle to studying and mitig…
Face DetectionInfantFace: Detecting infant faces in neonatal clinical environments
Reliable localisation of the neonatal face is the first step for several video-camera based non-contact assessments such as pain and distress related facial expression analysis, pain scoring, cardiorespiratory signal ext…
Domain AdaptationFace DetectionWhat's Old is New Again: Classical Dimensionality Reduction for Efficient Saliency-Guided Biometric Attack Detection
Saliency-guided training is a paradigm in visual recognition that encourages models to focus on the most relevant image regions during learning. While its application in biometric presentation attack detection (PAD) has …
Dimensionality ReductionFace DetectionOmniFaceRig: Fully Automatic Inner-Mouth-Aware Face Rigging Across Diverse 3D Character Topologies
Facial rigging - creating FACS-based blendshapes together with inner-mouth geometry (teeth, gums, and tongue) - remains a major bottleneck in 3D character production. Existing pipelines still require substantial designer…
Face DetectionFace ParsingOmniVL-Guard Pro: A Tool-Augmented Agent for Omnibus Vision-Language Forensics
Existing vision-language forgery detection and grounding methods operate under a closed-world paradigm, assuming verification can be completed by the model alone. However, self-contained MLLMs are constrained by finite p…
Zero-shot GeneralizationReinforcement LearningFace DetectionEvidence-based Decision Modeling for Synthetic Face Detection with Uncertainty-driven Active Learning
With the rapid development of deep generative models, forged facial images are massively exploited for illegal activities. Although existing synthetic face detection methods have achieved significant progress, they suffe…
Active LearningFace DetectionPre-training Enables Extraordinary All-optical Image Denoising
Optical neural networks are emerging as powerful machine learning and information processing tools because of their potential advantages in speed and energy efficiency. The training methods of these physical models, howe…
Transfer LearningImage DenoisingFace Detection3D Human Face Reconstruction with 3DMM face model from RGB image
Nowadays as convolution neural networks demonstrate its powerful problem-solving ability in the area of image processing, efforts have been made to reconstruct detailed face shapes from 2D face images or videos. However,…
Face DetectionRethinking Low-Light Image Enhancement: A Log-Domain Intensity--Chromaticity Decoupling Perspective
Explicit reconstruction constraints derived from the decoupled representation are further imposed to suppress abnormal channel amplification and chromatic noise. Experiments on LOLv2-Real, MIT-Adobe FiveK, and LSRW show …
Low-Light Image EnhancementFace DetectionGPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment
The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content has never been more difficult to discern. We introduce the GPT-Image-…
Face DetectionComPrivDet: Efficient Privacy Object Detection in Compressed Domains Through Inference Reuse
As the Internet of Things (IoT) becomes deeply embedded in daily life, users are increasingly concerned about privacy leakage, especially from video data. Since frame-by-frame protection in large-scale video analytics (e…
License Plate DetectionObject DetectionFace DetectionHuman vs. NAO: A Computational-Behavioral Framework for Quantifying Social Orienting in Autism and Typical Development
Responding to one's name is among the earliest-emerging social orienting behaviors and is one of the most prominent aspects in the detection of Autism Spectrum Disorder (ASD). Typically developing children exhibit near-r…
Face DetectionWhen Visual Evidence is Ambiguous: Pareidolia as a Diagnostic Probe for Vision Models
When visual evidence is ambiguous, vision models must decide how to interpret face-like patterns. Face pareidolia, the perception of faces in non-face objects, provides a controlled probe of such decisions. We introduce …
Object DetectionFace DetectionLocally Adaptive Decay Surfaces for High-Speed Face and Landmark Detection with Event Cameras
Event cameras record luminance changes with microsecond resolution, but converting their sparse, asynchronous output into dense tensors that neural networks can exploit remains a core challenge. Conventional histograms o…
Face DetectionThrough BrokenEyes: How Eye Disorders Impact Face Detection?
Vision disorders significantly impact millions of lives, altering how visual information is processed and perceived. In this work, a computational framework was developed using the BrokenEyes system to simulate five comm…
Face DetectionEmotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding
Understanding human emotions from multimodal signals poses a significant challenge in affective computing and human-robot interaction. While multimodal large language models (MLLMs) have excelled in general vision-langua…
Emotion RecognitionFace Detection