Xin Geng

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Compact Learning for Multi-Label Classification

Multi-label classification (MLC) studies the problem where each instance...
09/18/2020 ∙ by Jiaqi Lv, et al. ∙ 5 ∙ share

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Provably Consistent Partial-Label Learning

Partial-label learning (PLL) is a multi-class classification problem, wh...
07/17/2020 ∙ by Lei Feng, et al. ∙ 5 ∙ share

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Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation

Facial attributes (e.g., age and attractiveness) estimation performance ...
07/03/2020 ∙ by Bin-Bin Gao, et al. ∙ 0 ∙ share

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Progressive Identification of True Labels for Partial-Label Learning

Partial-label learning is one of the important weakly supervised learnin...
02/19/2020 ∙ by Jiaqi Lv, et al. ∙ 0 ∙ share

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A Context-and-Spatial Aware Network for Multi-Person Pose Estimation

Multi-person pose estimation is a fundamental yet challenging task in co...
05/14/2019 ∙ by Dongdong Yu, et al. ∙ 0 ∙ share

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Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information

Multi-person pose estimation is an important but challenging problem in ...
05/09/2019 ∙ by Kai Su, et al. ∙ 0 ∙ share

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Multi-Label Learning with Label Enhancement

Multi-label learning deals with training instances associated with multi...
06/26/2017 ∙ by Ruifeng Shao, et al. ∙ 0 ∙ share

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Deep Label Distribution Learning with Label Ambiguity

Convolutional Neural Networks (ConvNets) have achieved excellent recogni...
11/06/2016 ∙ by Bin-Bin Gao, et al. ∙ 0 ∙ share

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Xin Geng

Featured Co-authors

Masashi Sugiyama

Gang Niu

Ning Xu

Jianxin Wu

Bo Han

Bo An

Changhu Wang

Lei Feng

Miao Xu

Hong-Yu Zhou

Bin-Bin Gao

Compact Learning for Multi-Label Classification

Provably Consistent Partial-Label Learning

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation

Progressive Identification of True Labels for Partial-Label Learning

A Context-and-Spatial Aware Network for Multi-Person Pose Estimation

Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information

Multi-Label Learning with Label Enhancement

Deep Label Distribution Learning with Label Ambiguity