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20152026
most citedWasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

29 citations · 86 across the 9 of their papers we have counts for

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Showing 2019 · cs.CVShow all

5 papers · 2 filters

cs.CV2019★ 16 cited

HAMBox: Delving into Online High-quality Anchors Mining for Detecting Outer Faces

Yang Liu, Xu Tang, Xiang Wu +3

Current face detectors utilize anchors to frame a multi-task learning problem which combines classification and bounding box regression. Effective anchor design and anchor matching…

cs.CV2019

M2FPA: A Multi-Yaw Multi-Pitch High-Quality Database and Benchmark for Facial Pose Analysis

Peipei Li, Xiang Wu, Yibo Hu +2

Facial images in surveillance or mobile scenarios often have large view-point variations in terms of pitch and yaw angles. These jointly occurred angle variations make face recogni…

cs.CV2019★ 3 cited

UVA: A Universal Variational Framework for Continuous Age Analysis

Peipei Li, Huaibo Huang, Yibo Hu +3

Conventional methods for facial age analysis tend to utilize accurate age labels in a supervised way. However, existing age datasets lies in a limited range of ages, leading to a l…

cs.CV2019

High Fidelity Face Manipulation with Extreme Poses and Expressions

Chaoyou Fu, Yibo Hu, Xiang Wu +3

Face manipulation has shown remarkable advances with the flourish of Generative Adversarial Networks. However, due to the difficulties of controlling structures and textures, it is…

cs.CV2019

Dual Variational Generation for Low-Shot Heterogeneous Face Recognition

Chaoyou Fu, Xiang Wu, Yibo Hu +2

Heterogeneous Face Recognition (HFR) is a challenging issue because of the large domain discrepancy and a lack of heterogeneous data. This paper considers HFR as a dual generation…