4 citations · 12 across the 6 of their papers we have counts for
5 papers · 1 filter
KeyPoint Relative Position Encoding for Face Recognition
Minchul Kim, Yiyang Su, Feng Liu +2
In this paper, we address the challenge of making ViT models more robust to unseen affine transformations. Such robustness becomes useful in various recognition tasks such as face…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
Feng Liu, Minchul Kim, ZiAng Gu +2
Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition…
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain +1
Generating synthetic datasets for training face recognition models is challenging because dataset generation entails more than creating high fidelity images. It involves generating…
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Feng Liu, Minchul Kim, Anil Jain +1
Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained train…