13 papers · 1 filter
DIME: Scaling Facial Representation Learning via Differential Masked Autoencoding
Hao Yu, Haoyu Chen, Hui Wei +3
Scaling up data and model capacity has driven substantial progress in visual representation learning. However, conventional pretext tasks exhibit diminishing returns on fine-graine…
How Private is Private? A Comparative Study for Face De-Identification
Hui Wei, Hao Yu, Hui Kuurila-Zhang +1
Face de-identification (FDeID) has emerged as a critical privacy-preserving technology, yet its evaluation remains fundamentally fragmented. Existing protocols rely on inconsistent…
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Hui Wei, Licai Sun, Guoying Zhao
Machines that understand humans should perceive the present and anticipate the future. Existing human-centric vision model are pretrained on human images, set the state of the art…
Face De-Identification: A Domain-Centric Survey from Capture to Processing
Hui Wei, Hao Yu, Guoying Zhao
Face de-identification (De-ID) aims to remove or conceal personally identifiable facial features in images or videos to prevent identity recognition while preserving utility for do…
FDeID-Toolbox: Face De-Identification Toolbox
Hui Wei, Hao Yu, Guoying Zhao
Face de-identification (FDeID) aims to remove personally identifiable information from facial images while preserving task-relevant utility attributes such as age, gender, and expr…
Learning Transferable Facial Emotion Representations from Large-Scale Semantically Rich Captions
Licai Sun, Xingxun Jiang, Haoyu Chen +7
Current facial emotion recognition systems are predominately trained to predict a fixed set of predefined categories or abstract dimensional values. This constrained form of superv…
Is Micro-expression Ethnic Leaning?
Huai-Qian Khor, Yante Li, Xingxun Jiang +1
How much does ethnicity play its part in emotional expression? Emotional expression and micro-expression research probe into understanding human psychological responses to emotiona…
Infused Suppression Of Magnification Artefacts For Micro-AU Detection
Huai-Qian Khor, Yante Li, Xingxun Jiang +1
Facial micro-expressions are spontaneous, brief and subtle facial motions that unveil the underlying, suppressed emotions. Detecting Action Units (AUs) in micro-expressions is cruc…
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric Guidance
Mengting Wei, Yante Li, Tuomas Varanka +2
In this study, we propose a method for video face reenactment that integrates a 3D face parametric model into a latent diffusion framework, aiming to improve shape consistency and…
Towards Consistent and Controllable Image Synthesis for Face Editing
Mengting Wei, Tuomas Varanka, Yante Li +3
Face editing methods, essential for tasks like virtual avatars, digital human synthesis and identity preservation, have traditionally been built upon GAN-based techniques, while re…
MagicFace: High-Fidelity Facial Expression Editing with Action-Unit Control
Mengting Wei, Tuomas Varanka, Xingxun Jiang +2
We address the problem of facial expression editing by controling the relative variation of facial action-unit (AU) from the same person. This enables us to edit this specific pers…
Towards Localized Fine-Grained Control for Facial Expression Generation
Tuomas Varanka, Huai-Qian Khor, Yante Li +4
Generative models have surged in popularity recently due to their ability to produce high-quality images and video. However, steering these models to produce images with specific a…
PFStorer: Personalized Face Restoration and Super-Resolution
Tuomas Varanka, Tapani Toivonen, Soumya Tripathy +2
Recent developments in face restoration have achieved remarkable results in producing high-quality and lifelike outputs. The stunning results however often fail to be faithful with…