Yongsheng Dong

According to our database, Yongsheng Dong authored at least 62 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Refinement Co-supervision network for real-time semantic segmentation.

Yongsheng Dong, Kaiyuan Zhao, Lintao Zheng, Haotian Yang, Qing Liu, Yuanhua Pei

IET Comput. Vis., September, 2023

Adjacent Complementary Network for Salient Object Detection in Optical Remote Sensing Images.

Dawei Song, Yongsheng Dong, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2023

Multi-Pooling Context Network for Image Semantic Segmentation.

Qing Liu, Yongsheng Dong, Zhiqiang Jiang, Yuanhua Pei, Boshi Zheng, Lintao Zheng, Zhumu Fu

Remote. Sens., 2023

Multi-stage context refinement network for semantic segmentation.

Qing Liu, Yongsheng Dong, Xuelong Li

Neurocomputing, 2023

Object-aware bounding box regression for online multi-object tracking.

Hongli Li, Yongsheng Dong, Xuelong Li

Neurocomputing, 2023

Field-matching attention network for object detection.

Yongsheng Dong, Longchao Shen, Yuanhua Pei, Haotian Yang, Xuelong Li

Neurocomputing, 2023

One-Dimensional Feature Supervision Network for Object Detection.

Longchao Shen, Yongsheng Dong, Yuanhua Pei, Haotian Yang, Lintao Zheng, Jinwen Ma

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming.

Zhumu Fu, Haocong Wang, Fazhan Tao, Baofeng Ji, Yongsheng Dong, Shuzhong Song

IEEE Trans. Veh. Technol., 2022

Optimization Based Adaptive Cruise Control and Energy Management Strategy for Connected and Automated FCHEV.

Longlong Zhu, Fazhan Tao, Zhumu Fu, Nan Wang, Baofeng Ji, Yongsheng Dong

IEEE Trans. Intell. Transp. Syst., 2022

CartoonLossGAN: Learning Surface and Coloring of Images for Cartoonization.

Yongsheng Dong, Wei Tan, Dacheng Tao, Lintao Zheng, Xuelong Li

IEEE Trans. Image Process., 2022

Style Transformation-Based Spatial-Spectral Feature Learning for Unsupervised Change Detection.

Ganchao Liu, Yuan Yuan, Yuelin Zhang, Yongsheng Dong, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Relationship Preserving Sparse NMF for Hyperspectral Unmixing.

Xuelong Li, Xinxin Zhang, Yuan Yuan, Yongsheng Dong

IEEE Trans. Geosci. Remote. Sens., 2022

Context and Difference Enhancement Network for Change Detection.

Dawei Song, Yongsheng Dong, Xuelong Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Online association by continuous-discrete appearance similarity measurement for multi-object tracking.

Hongli Li, Yongsheng Dong, Xuelong Li

Neurocomputing, 2022

Machine-learning-based hybrid recognition approach for longitudinal driving behavior in noisy environment.

Haochen Sun, Zhumu Fu, Fazhan Tao, Yongsheng Dong, Baofeng Ji

Eng. Appl. Artif. Intell., 2022

2021

Hierarchical Edge Refinement Network for Saliency Detection.

Dawei Song, Yongsheng Dong, Xuelong Li

IEEE Trans. Image Process., 2021

Compact Interchannel Sampling Difference Descriptor for Color Texture Classification.

Yongsheng Dong, Mingxin Jin, Xuelong Li, Jinwen Ma, Zhonghua Liu, Lin Wang, Lintao Zheng

IEEE Trans. Circuits Syst. Video Technol., 2021

Robust hyperspectral unmixing based on dual views with adaptive weights.

Xinxin Zhang, Xuelong Li, Yongsheng Dong

Neurocomputing, 2021

2020

Hierarchical Feature Fusion Network for Salient Object Detection.

Xuelong Li, Dawei Song, Yongsheng Dong

IEEE Trans. Image Process., 2020

Meta Learning for Task-Driven Video Summarization.

Xuelong Li, Hongli Li, Yongsheng Dong

IEEE Trans. Ind. Electron., 2020

Learning blur invariant binary descriptor for face recognition.

Chen Zhao, Xuelong Li, Yongsheng Dong

Neurocomputing, 2020

Completed Extremely Nonnegative DMD for Color Texture Classification.

Mingxin Jin, Yongsheng Dong, Mingchuan Zhang, Qingtao Wu, Lintao Zheng, Bin Song, Lei Zhang, Lin Wang

IEEE Access, 2020

2019

Scene classification-oriented saliency detection via the modularized prescription.

Chunlei Yang, Jiexin Pu, Yongsheng Dong, Guo-Sen Xie, Yanna Si, Zhonghua Liu

Vis. Comput., 2019

Robust Subspace Clustering by Cauchy Loss Function.

Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2019

Multiscale Symmetric Dense Micro-Block Difference for Texture Classification.

Yongsheng Dong, Huangbin Wu, Xuelong Li, Chuanqi Zhou, Qingtao Wu

IEEE Trans. Circuits Syst. Video Technol., 2019

Stacked Fisher autoencoder for SAR change detection.

Ganchao Liu, Lingling Li, Licheng Jiao, Yongsheng Dong, Xuelong Li

Pattern Recognit., 2019

Convolutional Edge Constraint-Based U-Net for Salient Object Detection.

Le Han, Xuelong Li, Yongsheng Dong

IEEE Access, 2019

Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation.

Yongsheng Dong, Hongyan Zhang, Zhonghua Liu, Chunlei Yang, Guo-Sen Xie, Lintao Zheng, Lin Wang

IEEE Access, 2019

Locally Directional and Extremal Pattern for Texture Classification.

Yongsheng Dong, Tianyu Wang, Chunlei Yang, Lintao Zheng, Bin Song, Lin Wang, Mingxin Jin

IEEE Access, 2019

2018

Multi-scale counting and difference representation for texture classification.

Yongsheng Dong, Jinwang Feng, Chunlei Yang, Xiaohong Wang, Lintao Zheng, Jiexin Pu

Vis. Comput., 2018

Patch Alignment Manifold Matting.

Xuelong Li, Kang Liu, Yongsheng Dong, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

SCE: A Manifold Regularized Set-Covering Method for Data Partitioning.

Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

Discriminative and Orthogonal Subspace Constraints-Based Nonnegative Matrix Factorization.

Xuelong Li, Guosheng Cui, Yongsheng Dong

ACM Trans. Intell. Syst. Technol., 2018

Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps.

Xuelong Li, Kang Liu, Yongsheng Dong

IEEE Trans. Cybern., 2018

Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection.

Chunlei Yang, Xiangluo Wang, Jiexin Pu, Guo-Sen Xie, Zhonghua Liu, Yongsheng Dong, Lingfei Liang

J. Vis. Commun. Image Represent., 2018

Structure preserving unsupervised feature selection.

Quanmao Lu, Xuelong Li, Yongsheng Dong

Neurocomputing, 2018

Subspace clustering guided convex nonnegative matrix factorization.

Guosheng Cui, Xuelong Li, Yongsheng Dong

Neurocomputing, 2018

Jumping and Refined Local Pattern for Texture Classification.

Tianyu Wang, Yongsheng Dong, Chunlei Yang, Lin Wang, Lingfei Liang, Lintao Zheng, Jiexin Pu

IEEE Access, 2018

SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection.

Le Han, Xuelong Li, Yongsheng Dong

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Shortest Paths in HSI Space for Color Texture Classification.

Mingxin Jin, Yongsheng Dong, Lintao Zheng, Lingfei Liang, Tianyu Wang, Hongyan Zhang

Proceedings of the Intelligence Science II, 2018

2017

Salient object detection in complex scenes via D-S evidence theory based region classification.

Chunlei Yang, Jiexin Pu, Yongsheng Dong, Zhonghua Liu, Lingfei Liang, Xiaohong Wang

Vis. Comput., 2017

Refined-Graph Regularization-Based Nonnegative Matrix Factorization.

Xuelong Li, Guosheng Cui, Yongsheng Dong

ACM Trans. Intell. Syst. Technol., 2017

Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering.

Xuelong Li, Guosheng Cui, Yongsheng Dong

IEEE Trans. Cybern., 2017

Extended Locality-Constrained Linear Self-Coding for Saliency Detection.

Chunlei Yang, Jiexin Pu, Guo-Sen Xie, Yongsheng Dong, Zhonghua Liu

IEEE Signal Process. Lett., 2017

Multiscale Sampling Based Texture Image Classification.

Yongsheng Dong, Jinwang Feng, Lingfei Liang, Lintao Zheng, Qingtao Wu

IEEE Signal Process. Lett., 2017

Structural difference histogram representation for texture image classification.

Jinwang Feng, Xinliang Liu, Yongsheng Dong, Lingfei Liang, Jiexin Pu

IET Image Process., 2017

2016

Gestalt Principle Based Change Detection and Background Reconstruction.

Shi Qiu, Yongsheng Dong, Xiaoqiang Lu, Ming Du

Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Subspace Clustering by Capped l_1 l 1 Norm.

Quanmao Lu, Xuelong Li, Yongsheng Dong, Dacheng Tao

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Nonnegative Multiresolution Representation-Based Texture Image Classification.

Yongsheng Dong, Dacheng Tao, Xuelong Li

ACM Trans. Intell. Syst. Technol., 2015

Texture Classification and Retrieval Using Shearlets and Linear Regression.

Yongsheng Dong, Dacheng Tao, Xuelong Li, Jinwen Ma, Jiexin Pu

IEEE Trans. Cybern., 2015

Object recognition based on Gabor wavelet and SVM.

Lei Zhang, Jiexin Pu, Yongsheng Dong, Jinwang Feng, Yang Zhang

Proceedings of the IEEE International Conference on Information and Automation, 2015

Dominant-completed local binary pattern for texture classification.

Jinwang Feng, Yongsheng Dong, Lingfei Liang, Jiexin Pu

Proceedings of the IEEE International Conference on Information and Automation, 2015

How to represent scenes for classification?

Jianhua Shi, Xuelong Li, Yongsheng Dong

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

Superpixel fats for fast foreground extraction.

Kang Liu, Xuelong Li, Yongsheng Dong

Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014

Local estimation empirical mode decomposition and its application in image fusion.

Lingfei Liang, Yongsheng Dong, Jiexin Pu

Proceedings of the IEEE International Conference on Information and Automation, 2014

2013

Feature extraction through contourlet subband clustering for texture classification.

Yongsheng Dong, Jinwen Ma

Neurocomputing, 2013

2012

Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures.

Yongsheng Dong, Jinwen Ma

IEEE Trans. Image Process., 2012

An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence.

Yongsheng Dong, Jinwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Statistical Contourlet Subband Characterization for Texture Image Retrieval.

Yongsheng Dong, Jinwen Ma

Proceedings of the Intelligent Computing Theories and Applications, 2012

2011

Wavelet-Based Image Texture Classification Using Local Energy Histograms.

Yongsheng Dong, Jinwen Ma

IEEE Signal Process. Lett., 2011

Contourlet-Based Texture Classification with Product Bernoulli Distributions.

Yongsheng Dong, Jinwen Ma

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Texture Classification Based on Contourlet Subband Clustering.

Yongsheng Dong, Jinwen Ma

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011