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20152021
most citedRGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

59 citations · 180 across the 16 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CL2019★ 7 cited

Rule-Guided Compositional Representation Learning on Knowledge Graphs

Guanglin Niu, Yongfei Zhang, Bo Li +4

Representation learning on a knowledge graph (KG) is to embed entities and relations of a KG into low-dimensional continuous vector spaces. Early KG embedding methods only pay atte…

cs.CV2019

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

Yue Liao, Si Liu, Fei Wang +3

We propose a single-stage Human-Object Interaction (HOI) detection method that has outperformed all existing methods on HICO-DET dataset at 37 fps on a single Titan XP GPU. It is t…

cs.CV2019

AdversarialNAS: Adversarial Neural Architecture Search for GANs

Chen Gao, Yunpeng Chen, Si Liu +2

Neural Architecture Search (NAS) that aims to automate the procedure of architecture design has achieved promising results in many computer vision fields. In this paper, we propose…

cs.CV2019★ 59 cited

RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

Guan'an Wang, Tianzhu Zhang, Jian Cheng +3

RGB-Infrared (IR) person re-identification is an important and challenging task due to large cross-modality variations between RGB and IR images. Most conventional approaches aim t…

cs.CV2019

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

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

Wentao Jiang, Si Liu, Chen Gao +4

In this paper, we address the makeup transfer task, which aims to transfer the makeup from a reference image to a source image. Existing methods have achieved promising progress in…