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20162023
most citedRevisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

43 citations · 52 across the 7 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 1 cited

CariMe: Unpaired Caricature Generation with Multiple Exaggerations

Zheng Gu, Chuanqi Dong, Jing Huo +2

Caricature generation aims to translate real photos into caricatures with artistic styles and shape exaggerations while maintaining the identity of the subject. Different from the…

cs.CV2020★ 2 cited

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition

Wen Ji, Kelei He, Jing Huo +2

Caricature attributes provide distinctive facial features to help research in Psychology and Neuroscience. However, unlike the facial photo attribute datasets that have a quantity…

cs.CV2020

Manifold Alignment for Semantically Aligned Style Transfer

Jing Huo, Shiyin Jin, Wenbin Li +4

Most existing style transfer methods follow the assumption that styles can be represented with global statistics (e.g., Gram matrices or covariance matrices), and thus address the…

eess.IV2020

MetricUNet: Synergistic Image- and Voxel-Level Learning for Precise CT Prostate Segmentation via Online Sampling

Kelei He, Chunfeng Lian, Ehsan Adeli +5

Fully convolutional networks (FCNs), including UNet and VNet, are widely-used network architectures for semantic segmentation in recent studies. However, conventional FCN is typica…

cs.CV2020★ 2 cited

Asymmetric Distribution Measure for Few-shot Learning

Wenbin Li, Lei Wang, Jing Huo +3

The core idea of metric-based few-shot image classification is to directly measure the relations between query images and support classes to learn transferable feature embeddings.…

cs.CV2020

MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration

Haodi Hou, Jing Huo, Jing Wu +2

Given an input face photo, the goal of caricature generation is to produce stylized, exaggerated caricatures that share the same identity as the photo. It requires simultaneous sty…