Papers Face Alignment
“Face Alignment” 태그가 달린 논문 313편 · 필터 해제
BIDO: A Biometric Identity Online Authentication Framework
Security systems demand continuous, cryptograph- ically robust identity verification without requiring subjects to carry physical tokens, smart cards, or dedicated hardware authenticators. This paper presents BIDO (Biome…
Face AlignmentA cross-modal network for facial expression recognition
Deep neural networks enriched with structural information have been widely employed for facial expression recognition tasks. However, these methods often depend on hierarchical information rather than face property to fi…
Facial Expression RecognitionFace AlignmentVideoPulse: Neonatal heart rate and peripheral capillary oxygen saturation (SpO2) estimation from contact free video
Remote photoplethysmography (rPPG) enables contact free monitoring of vital signs and is especially valuable for neonates, since conventional methods often require sustained skin contact with adhesive probes that can irr…
SpO2 estimationFace AlignmentBackdoor Attacks on Deep Learning Face Detection
Face Recognition Systems that operate in unconstrained environments capture images under varying conditions,such as inconsistent lighting, or diverse face poses. These challenges require including a Face Detection module…
Face RecognitionFace AlignmentFace DetectionFace2VoiceSync: Lightweight Face-Voice Consistency for Text-Driven Talking Face Generation
Recent studies in speech-driven talking face generation achieve promising results, but their reliance on fixed-driven speech limits further applications (e.g., face-voice mismatch). Thus, we extend the task to a more cha…
Talking Face GenerationFace AlignmentTowards Large-Scale Pose-Invariant Face Recognition Using Face Defrontalization
Face recognition under extreme head poses is a challenging task. Ideally, a face recognition system should perform well across different head poses, which is known as pose-invariant face recognition. To achieve pose inva…
Face AlignmentFace RecognitionRobust Face RecognitionHonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
Face restoration has achieved remarkable advancements through the years of development. However, ensuring that restored facial images exhibit high fidelity, preserve authentic features, and avoid introducing artifacts or…
Face AlignmentMultimodal Emotion Coupling via Speech-to-Facial and Bodily Gestures in Dyadic Interaction
Human emotional expression emerges through coordinated vocal, facial, and gestural signals. While speech face alignment is well established, the broader dynamics linking emotionally expressive speech to regional facial a…
Face AlignmentSocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
Social simulation is transforming traditional social science research by modeling human behavior through interactions between virtual individuals and their environments. With recent advances in large language models (LLM…
DiversityFace AlignmentMitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Despite the similar structures of human faces, existing face alignment methods cannot learn unified knowledge from multiple datasets with different landmark annotations. The limited training samples in a single dataset c…
Face AlignmentLearning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model
Training a generic 3D face reconstruction model in a self-supervised manner using large-scale, in-the-wild 2D face image datasets enhances robustness to varying lighting conditions and occlusions while allowing the m…
3D Face ReconstructionFace AlignmentFace ReconstructionImpact of Face Alignment on Face Image Quality
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition, and facial attribute classification, al…
AttributeFace AlignmentFace DetectionFace Image Quality+5Precise Facial Landmark Detection by Dynamic Semantic Aggregation Transformer
At present, deep neural network methods have played a dominant role in face alignment field. However, they generally use predefined network structures to predict landmarks, which tends to learn general features and leads…
Face AlignmentFacial Landmark DetectionRestorerID: Towards Tuning-Free Face Restoration with ID Preservation
Blind face restoration has made great progress in producing high-quality and lifelike images. Yet it remains challenging to preserve the ID information especially when the degradation is heavy. Current reference-guided f…
Blind Face RestorationFace AlignmentARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
Aiming to enhance Face Recognition (FR) on Low-Quality (LQ) inputs, recent studies suggest incorporating synthetic LQ samples into training. Although promising, the quality factors that are considered in these works are …
Data AugmentationFace AlignmentFace RecognitionOn the power of data augmentation for head pose estimation
Deep learning has been impressively successful in the last decade in predicting human head poses from monocular images. However, for in-the-wild inputs the research community relies predominantly on a single training set…
Data AugmentationFace AlignmentHead Pose EstimationPose EstimationRobust 3D Face Alignment with Multi-Path Neural Architecture Search
3D face alignment is a very challenging and fundamental problem in computer vision. Existing deep learning-based methods manually design different networks to regress either parameters of a 3D face model or 3D positions …
3D Face AlignmentFace AlignmentFace ModelNeural Architecture SearchCSANet: Channel Spatial Attention Network for Robust 3D Face Alignment and Reconstruction
Our project proposes an end-to-end 3D face alignment and reconstruction network. The backbone of our model is built by Bottle-Neck structure via Depth-wise Separable Convolution. We integrate Coordinate Attention mechani…
3D Face AlignmentFace AlignmentFaceLift: Semi-supervised 3D Facial Landmark Localization
3D facial landmark localization has proven to be of particular use for applications, such as face tracking, 3D face modeling, and image-based 3D face reconstruction. In the supervised learning case, such methods usually …
3D Face Reconstruction3D Facial Landmark LocalizationFace AlignmentFace ReconstructionAI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
Face Image Quality Assessment (FIQA) techniques have seen steady improvements over recent years, but their performance still deteriorates if the input face samples are not properly aligned. This alignment sensitivity com…
Face AlignmentFace Image QualityFace Image Quality AssessmentFace Recognition+2