b'Jihua Zhu'

Effective multi-view registration of point sets based on student's t mixture model

Recently, Expectation-maximization (EM) algorithm has been introduced as...
12/13/2020 ∙ by Yanlin Ma, et al. ∙ 0 ∙ share

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Show and Speak: Directly Synthesize Spoken Description of Images

This paper proposes a new model, referred to as the show and speak (SAS)...
10/23/2020 ∙ by Xinsheng Wang, et al. ∙ 6 ∙ share

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Multi-view Hierarchical Clustering

This paper focuses on the multi-view clustering, which aims to promote c...
10/15/2020 ∙ by Qinghai Zheng, et al. ∙ 0 ∙ share

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Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics

Annotating histopathological images is a time-consuming andlabor-intensi...
08/21/2020 ∙ by Dou Xu, et al. ∙ 0 ∙ share

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Bidirectional Loss Function for Label Enhancement and Distribution Learning

Label distribution learning (LDL) is an interpretable and general learni...
07/07/2020 ∙ by Xinyuan Liu, et al. ∙ 10 ∙ share

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S2IGAN: Speech-to-Image Generation via Adversarial Learning

An estimated half of the world's languages do not have a written form, m...
05/14/2020 ∙ by Xinsheng Wang, et al. ∙ 0 ∙ share

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Robust Motion Averaging under MaximumCorrentropy Criterion

Recently, the motion averaging method has been introduced as an effectiv...
04/21/2020 ∙ by Jihua Zhu, et al. ∙ 0 ∙ share

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Consistent and Complementary Graph Regularized Multi-view Subspace Clustering

This study investigates the problem of multi-view clustering, where mult...
04/07/2020 ∙ by Qinghai Zheng, et al. ∙ 3 ∙ share

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Generalized Label Enhancement with Sample Correlations

Recently, label distribution learning (LDL) has drawn much attention in ...
04/07/2020 ∙ by Qinghai Zheng, et al. ∙ 0 ∙ share

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Registration of multi-view point sets under the perspective of expectation-maximization

Registration of multi-view point sets is a prerequisite for 3D model rec...
02/18/2020 ∙ by Jihua Zhu, et al. ∙ 9 ∙ share

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Domain segmentation and adjustment for generalized zero-shot learning

In the generalized zero-shot learning, synthesizing unseen data with gen...
02/01/2020 ∙ by Xinsheng Wang, et al. ∙ 0 ∙ share

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Visual Space Optimization for Zero-shot Learning

Zero-shot learning, which aims to recognize new categories that are not ...
06/30/2019 ∙ by Xinsheng Wang, et al. ∙ 0 ∙ share

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Constrained Bilinear Factorization Multi-view Subspace Clustering

Multi-view clustering is an important and fundamental problem. Many mult...
06/19/2019 ∙ by Qinghai Zheng, et al. ∙ 0 ∙ share

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Feature Concatenation Multi-view Subspace Clustering

Many multi-view clustering methods have been proposed with the popularit...
01/30/2019 ∙ by Qinghai Zheng, et al. ∙ 14 ∙ share

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Spatio-Temporal Road Scene Reconstruction using Superpixel MRF

Scene models construction based on image rendering is a hot topic in the...
11/24/2018 ∙ by Yaochen Li, et al. ∙ 0 ∙ share

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Deep Feature Aggregation with Heat Diffusion for Image Retrieval

Image-level feature descriptors obtained from convolutional neural netwo...
05/22/2018 ∙ by Shanmin Pang, et al. ∙ 0 ∙ share

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Image Retrieval using Heat Diffusion for Deep Feature Aggregation

Image-level feature descriptors obtained from convolutional neural netwo...
05/22/2018 ∙ by Shanmin Pang, et al. ∙ 0 ∙ share

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Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors

This paper proposes a global approach for the multi-view registration of...
04/21/2018 ∙ by Jihua Zhu, et al. ∙ 0 ∙ share

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Adaptive Co-weighting Deep Convolutional Features For Object Retrieval

Aggregating deep convolutional features into a global image vector has a...
03/20/2018 ∙ by Jiaxing Wang, et al. ∙ 0 ∙ share

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K-means clustering for efficient and robust registration of multi-view point sets

Efficiency and robustness are the important performance for the registra...
10/14/2017 ∙ by Zutao Jiang, et al. ∙ 0 ∙ share

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Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions

Recently, the low rank and sparse (LRS) matrix decomposition has been in...
09/25/2017 ∙ by Congcong Jin, et al. ∙ 0 ∙ share

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Simultaneous merging multiple grid maps using the robust motion averaging

Mapping in the GPS-denied environment is an important and challenging ta...
06/14/2017 ∙ by Zutao Jiang, et al. ∙ 0 ∙ share

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An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments

For the registration of partially overlapping point clouds, this paper p...
06/01/2017 ∙ by Congcong Jin, et al. ∙ 0 ∙ share

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Weighted Motion Averaging for the Registration of Multi-View Range Scans

Multi-view registration is a fundamental but challenging problem in 3D r...
02/21/2017 ∙ by Rui Guo, et al. ∙ 0 ∙ share

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Jihua Zhu

Featured Co-authors

Jun Wang

Jing Zhang

Lei Chen

Mark Hasegawa-Johnson

Badong Chen

Vicente Ordonez

Jie Hu

Zhongyu Li

Dapeng Chen

Odette Scharenborg

Jianru Xue

Effective multi-view registration of point sets based on student's t mixture model

Show and Speak: Directly Synthesize Spoken Description of Images

Multi-view Hierarchical Clustering

Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics

Bidirectional Loss Function for Label Enhancement and Distribution Learning

S2IGAN: Speech-to-Image Generation via Adversarial Learning

Robust Motion Averaging under MaximumCorrentropy Criterion

Consistent and Complementary Graph Regularized Multi-view Subspace Clustering

Generalized Label Enhancement with Sample Correlations

Registration of multi-view point sets under the perspective of expectation-maximization

Domain segmentation and adjustment for generalized zero-shot learning

Visual Space Optimization for Zero-shot Learning

Constrained Bilinear Factorization Multi-view Subspace Clustering

Feature Concatenation Multi-view Subspace Clustering

Spatio-Temporal Road Scene Reconstruction using Superpixel MRF

Deep Feature Aggregation with Heat Diffusion for Image Retrieval

Image Retrieval using Heat Diffusion for Deep Feature Aggregation

Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors

Adaptive Co-weighting Deep Convolutional Features For Object Retrieval

K-means clustering for efficient and robust registration of multi-view point sets

Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions

Simultaneous merging multiple grid maps using the robust motion averaging

An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments

Weighted Motion Averaging for the Registration of Multi-View Range Scans