30 citations · 48 across the 6 of their papers we have counts for
6 papers
Learning Cross-modality Information Bottleneck Representation for Heterogeneous Person Re-Identification
Haichao Shi, Mandi Luo, Xiao-Yu Zhang +1
Visible-Infrared person re-identification (VI-ReID) is an important and challenging task in intelligent video surveillance. Existing methods mainly focus on learning a shared featu…
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao, Mandi Luo, Junchi Yu +2
Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-sp…
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement
Ziming Yang, Jian Liang, Chaoyou Fu +2
Heterogeneous Face Recognition (HFR) aims to match faces across different domains (e.g., visible to near-infrared images), which has been widely applied in authentication and foren…
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Yuhe Ding, Xin Ma, Mandi Luo +2
Photo-to-caricature translation aims to synthesize the caricature as a rendered image exaggerating the features through sketching, pencil strokes, or other artistic drawings. Style…
Deep Audio-Visual Learning: A Survey
Hao Zhu, Mandi Luo, Rui Wang +2
Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfull…
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…