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Papers Face Alignment

“Face Alignment” 태그가 달린 논문 313편 · 필터 해제

Faceptor: A Generalist Model for Face Perception

2024-03-14 · Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang 외

With the comprehensive research conducted on various face analysis tasks, there is a growing interest among researchers to develop a unified approach to face perception. Existing methods mainly discuss unified representa…

Age EstimationAttributeDecoderFace Alignment+3

Face Swap via Diffusion Model

2024-03-02 · Feifei Wang

This technical report presents a diffusion model based framework for face swapping between two portrait images. The basic framework consists of three components, i.e., IP-Adapter, ControlNet, and Stable Diffusion's inpai…

Face AlignmentFace DetectionFace SwappingFacial Inpainting+1

Fiducial Focus Augmentation for Facial Landmark Detection

2024-02-23 · Purbayan Kar, Vishal Chudasama, Naoyuki Onoe, Pankaj Wasnik 외

Deep learning methods have led to significant improvements in the performance on the facial landmark detection (FLD) task. However, detecting landmarks in challenging settings, such as head pose changes, exaggerated expr…

Face AlignmentFacial Landmark DetectionImage Augmentation

A survey and classification of face alignment methods based on face models

2023-11-06 · Jagmohan Meher, Hector Allende-Cid, Torbjörn E. M. Nordling

A face model is a mathematical representation of the distinct features of a human face. Traditionally, face models were built using a set of fiducial points or landmarks, each point ideally located on a facial feature, i…

Face AlignmentFace Model

Toward High Quality Facial Representation Learning

2023-09-07 · Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi 외

Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre-training methods to boost the face anal…

Contrastive LearningDecoderFace AlignmentFace Parsing+1

3D Face Alignment Through Fusion of Head Pose Information and Features

2023-08-25 · Jaehyun So, Youngjoon Han

The ability of humans to infer head poses from face shapes, and vice versa, indicates a strong correlation between the two. Accordingly, recent studies on face alignment have employed head pose information to predict fac…

3D Face AlignmentFace AlignmentKnowledge DistillationRobust Face Alignment

Facial Landmark Detection Evaluation on MOBIO Database

2023-07-06 · Na Zhang

MOBIO is a bi-modal database that was captured almost exclusively on mobile phones. It aims to improve research into deploying biometric techniques to mobile devices. Research has been shown that face and speaker recogni…

3D Face ReconstructionFace AlignmentFace RecognitionFace Reconstruction+2

STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection

2023-06-05 · CVPR 2023 1 · Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang 외

Recently, deep learning-based facial landmark detection has achieved significant improvement. However, the semantic ambiguity problem degrades detection performance. Specifically, the semantic ambiguity causes inconsiste…

Face AlignmentFacial Landmark Detection

Mask Attack Detection Using Vascular-weighted Motion-robust rPPG Signals

2023-05-25 · Chenglin Yao, Jianfeng Ren, Ruibin Bai, Heshan Du 외

Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) signals, rPPG-based face anti-spoofing metho…

Face AlignmentFace Anti-SpoofingFace Recognition

DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment

2023-05-19 · CVPR 2023 1 · Heyuan Li, Bo wang, Yu Cheng, Mohan Kankanhalli 외

Sensitivity to severe occlusion and large view angles limits the usage scenarios of the existing monocular 3D dense face alignment methods. The state-of-the-art 3DMM-based method, directly regresses the model's coefficie…

3D Face ReconstructionFace AlignmentHead Pose Estimation

ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling

2023-04-19 · ICCV 2023 1 · Kai Yang, Hong Shang, Tianyang Shi, Xinghan Chen 외

The research fields of parametric face model and 3D face reconstruction have been extensively studied. However, a critical question remains unanswered: how to tailor the face model for specific reconstruction settings. W…

3D Face ReconstructionFace AlignmentFace ModelFace Reconstruction+1

Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models

2023-04-02 · CVPR 2023 1 · Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz 외

Cascaded computation, whereby predictions are recurrently refined over several stages, has been a persistent theme throughout the development of landmark detection models. In this work, we show that the recently proposed…

Face Alignment

Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild

2023-03-19 · Yufeng Yin, Minh Tran, Di Chang, Xinrui Wang 외

Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising. This paper…

Action Unit DetectionFace AlignmentFacial Action Unit DetectionSuper-Resolution

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild

2023-03-14 · Jiyong Moon, Seongsik Park

One of the key issues in facial expression recognition in the wild (FER-W) is that curating large-scale labeled facial images is challenging due to the inherent complexity and ambiguity of facial images. Therefore, in th…

Face AlignmentFacial Expression RecognitionFacial Expression Recognition (FER)

FreeEnricher: Enriching Face Landmarks without Additional Cost

2022-12-19 · Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang 외

Recent years have witnessed significant growth of face alignment. Though dense facial landmark is highly demanded in various scenarios, e.g., cosmetic medicine and facial beautification, most works only consider sparse f…

Face Alignment

Improving Depression estimation from facial videos with face alignment, training optimization and scheduling

2022-12-13 · Manuel Lage Cañellas, Constantino Álvarez Casado, Le Nguyen, Miguel Bordallo López

Deep learning models have shown promising results in recognizing depressive states using video-based facial expressions. While successful models typically leverage using 3D-CNNs or video distillation techniques, the diff…

Data AugmentationFace AlignmentScheduling

Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos

2022-11-30 · Jianwei Li, Zitong Yu, Jingang Shi

Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements. In the real-world long-term h…

Face AlignmentOptical Flow Estimation

FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection

2022-11-11 · Jing Yang, Jie Shen, Yiming Lin, Yordan Hristov 외

Due to its importance in facial behaviour analysis, facial action unit (AU) detection has attracted increasing attention from the research community. Leveraging the online knowledge distillation framework, we propose the…

Action Unit DetectionFace AlignmentFacial Action Unit DetectionKnowledge Distillation

A Comparative Analysis of the Face Recognition Methods in Video Surveillance Scenarios

2022-11-05 · Eker Onur, Bal Murat

Facial recognition is fundamental for a wide variety of security systems operating in real-time applications. In video surveillance based face recognition, face images are typically captured over multiple frames in uncon…

Face AlignmentFace DetectionFace Recognition

Shape Preserving Facial Landmarks with Graph Attention Networks

2022-10-13 · Andrés Prados-Torreblanca, José M. Buenaposada, Luis Baumela

Top-performing landmark estimation algorithms are based on exploiting the excellent ability of large convolutional neural networks (CNNs) to represent local appearance. However, it is well known that they can only learn …

Face AlignmentFacial Landmark DetectionGraph AttentionHead Pose Estimation+1
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