Liantao Wang

According to our database, Liantao Wang authored at least 22 papers between 2012 and 2025.

Collaborative distances:

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

2025

Artificial intelligence based virtual gaming experience for sports training and simulation of human motion trajectory capture.

Zhengli Li, Liantao Wang, Xueqing Wu

Entertain. Comput., 2025

2023

Instance-dimension dual contrastive learning of visual representations.

Qingrui Liu, Liantao Wang, Qinxu Wang, Jinxia Zhang

Mach. Vis. Appl., September, 2023

RGB-D salient object ranking based on depth stack and truth stack for complex indoor scenes.

Jingzheng Deng, Jinxia Zhang, Zewen Hu, Liantao Wang, Jiacheng Jiang, Xinchao Zhu, Xinyi Chen, Yin Yuan, Chao Wang

Pattern Recognit., May, 2023

2022

Discriminant distance template matching for image recognition.

Liantao Wang, Qingrui Liu

Mach. Vis. Appl., 2022

2021

ST-CSNN: a novel method for vehicle counting.

Kang Yin, Liantao Wang, Jinxia Zhang

Mach. Vis. Appl., 2021

2019

Multiple-Instance Discriminant Analysis for Weakly Supervised Segment Annotation.

Liantao Wang, Qingwu Li, Yan Zhou

IEEE Trans. Image Process., 2019

Feature Voting for Object Localization via Density Ratio Estimation.

Liantao Wang, Dong Deng, Chunlei Chen

KSII Trans. Internet Inf. Syst., 2019

Weakly supervised segment annotation via expectation kernel density estimation.

Liantao Wang, Qingwu Li, Jianfeng Lu

IET Comput. Vis., 2019

Logistic Regression Region Weighting for Weakly Supervised Object Localization.

Liantao Wang, Tingwei Wang, Xuelei Hu

IEEE Access, 2019

2018

Evolution modeling with multi-scale smoothing for action recognition.

Tingwei Wang, Chuancai Liu, Liantao Wang, Bingxian Ma, Xingjian Gu

J. Vis. Commun. Image Represent., 2018

Action recognition by Latent Duration Model.

Tingwei Wang, Chuancai Liu, Liantao Wang

Neurocomputing, 2018

Non-concept density estimation via kernel regression for concept ranking in weakly labelled data.

Liantao Wang, Qingwu Li, Jianfeng Lu, Qiong Wang

IET Comput. Vis., 2018

A Least Squares Approach to Region Selection.

Liantao Wang, Yan Liu, Jianfeng Lu

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Instance Annotation via Optimal BoW for Weakly Supervised Object Localization.

Liantao Wang, Deyu Meng, Xuelei Hu, Jianfeng Lu, Ji Zhao

IEEE Trans. Cybern., 2017

Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph.

Liantao Wang, Jianfeng Lu, Xiangyu Li, Zhan Huan, Jiuzhen Liang, Shuyue Chen

Pattern Recognit. Lett., 2017

2016

Feature and Region Selection for Visual Learning.

Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre

IEEE Trans. Image Process., 2016

Soil Moisture Content Detection Based on Sensor Networks.

Zhan Huan, Li Chen, Liantao Wang, CaiYan Wan

Proceedings of the Big Data Computing and Communications - Second International Conference, 2016

2015

Active learning via query synthesis and nearest neighbour search.

Liantao Wang, Xuelei Hu, Bo Yuan, Jianfeng Lu

Neurocomputing, 2015

2014

Multiple kernel clustering based on centered kernel alignment.

Yanting Lu, Liantao Wang, Jianfeng Lu, Jingyu Yang, Chunhua Shen

Pattern Recognit., 2014

Weakly supervised object localization via maximal entropy random walk.

Liantao Wang, Ji Zhao, Xuelei Hu, Jianfeng Lu

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2012

Querying representative points from a pool based on synthesized queries.

Xuelei Hu, Liantao Wang, Bo Yuan

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Constructing Class Hierarchy via Adaptive Kernel Learning.

Yanting Lu, Jianfeng Lu, Liantao Wang, Jing-Yu Yang

Proceedings of the Pattern Recognition - Chinese Conference, 2012