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20142023
most citedResidual Attention Network for Image Classification

313 citations · 1k across the 44 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 11 cited

FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

Keqiang Sun, Wayne Wu, Tinghao Liu +5

Recently, facial landmark detection algorithms have achieved remarkable performance on static images. However, these algorithms are neither accurate nor stable in motion-blurred vi…

cs.CV2019★ 4 cited

TRB: A Novel Triplet Representation for Understanding 2D Human Body

Haodong Duan, KwanYee Lin, Sheng Jin +3

Human pose and shape are two important components of 2D human body. However, how to efficiently represent both of them in images is still an open question. In this paper, we propos…

cs.CV2019★ 21 cited

A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension

Yue Liao, Si Liu, Guanbin Li +4

Referring expression comprehension aims to localize the object instance described by a natural language expression. Current referring expression methods have achieved good performa…

cs.CV2019★ 4 cited

Disentangling Content and Style via Unsupervised Geometry Distillation

Wayne Wu, Kaidi Cao, Cheng Li +2

It is challenging to disentangle an object into two orthogonal spaces of content and style since each can influence the visual observation differently and unpredictably. It is rare…

cs.CV2019★ 10 cited

TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation

Wayne Wu, Kaidi Cao, Cheng Li +2

Unsupervised image-to-image translation aims at learning a mapping between two visual domains. However, learning a translation across large geometry variations always ends up with…

cs.CV2019★ 43 cited

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

Xipeng Chen, Kwan-Yee Lin, Wentao Liu +3

Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architec…