Search Results for author: Niannan Xue

Found 6 papers, 2 papers with code

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

84 code implementations CVPR 2019 Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou

One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that enhance discriminative power.

 Ranked #1 on Face Verification on IJB-C (training dataset metric)

Face Identification Face Recognition +1

Side Information for Face Completion: a Robust PCA Approach

no code implementations20 Jan 2018 Niannan Xue, Jiankang Deng, Shiyang Cheng, Yannis Panagakis, Stefanos Zafeiriou

Robust principal component analysis (RPCA) is a powerful method for learning low-rank feature representation of various visual data.

Face Recognition Facial Inpainting +1

UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition

no code implementations CVPR 2018 Jiankang Deng, Shiyang Cheng, Niannan Xue, Yuxiang Zhou, Stefanos Zafeiriou

We demonstrate that by attaching the completed UV to the fitted mesh and generating instances of arbitrary poses, we can increase pose variations for training deep face recognition/verification models, and minimise pose discrepancy during testing, which lead to better performance.

3D Face Alignment Face Alignment +4

Side Information in Robust Principal Component Analysis: Algorithms and Applications

no code implementations ICCV 2017 Niannan Xue, Yannis Panagakis, Stefanos Zafeiriou

Robust Principal Component Analysis (RPCA) aims at recovering a low-rank subspace from grossly corrupted high-dimensional (often visual) data and is a cornerstone in many machine learning and computer vision applications.

Facial Expression Recognition Image Denoising

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