activity
20172020
most citedAnti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification

10 citations · 16 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV20201 cited

Lets Play Music: Audio-driven Performance Video Generation

Hao Zhu, Yi Li, Feixia Zhu +2

We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music aud…

cs.CV2020

Cosmetic-Aware Makeup Cleanser

Yi Li, Huaibo Huang, Junchi Yu +2

Face verification aims at determining whether a pair of face images belongs to the same identity. Recent studies have revealed the negative impact of facial makeup on the verificat…

cs.CV2020

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

Jie Cao, Huaibo Huang, Yi Li +2

The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models. Existing approaches can use a unified model…

cs.CV2019

Exploiting Style and Attention in Real-World Super-Resolution

Xin Ma, Yi Li, Huaibo Huang +2

Real-world image super-resolution (SR) is a challenging image translation problem. Low-resolution (LR) images are often generated by various unknown transformations rather than by…

cs.CV2019

Cross-Spectral Face Hallucination via Disentangling Independent Factors

Boyan Duan, Chaoyou Fu, Yi Li +2

The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR). Although recent methods have attempted to fill the…

cs.CV20195 cited

Biphasic Learning of GANs for High-Resolution Image-to-Image Translation

Jie Cao, Huaibo Huang, Yi Li +3

Despite that the performance of image-to-image translation has been significantly improved by recent progress in generative models, current methods still suffer from severe degrada…