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2020 – today
- 2025
[j17]Zhengli Li, Liantao Wang, Xueqing Wu:
Artificial intelligence based virtual gaming experience for sports training and simulation of human motion trajectory capture. Entertain. Comput. 52: 100828 (2025)- 2023
- [j16]Qingrui Liu, Liantao Wang
, Qinxu Wang, Jinxia Zhang:
Instance-dimension dual contrastive learning of visual representations. Mach. Vis. Appl. 34(5): 89 (2023) - [j15]Jingzheng Deng, Jinxia Zhang, Zewen Hu, Liantao Wang, Jiacheng Jiang, Xinchao Zhu, Xinyi Chen, Yin Yuan, Chao Wang:
RGB-D salient object ranking based on depth stack and truth stack for complex indoor scenes. Pattern Recognit. 137: 109251 (2023) - 2022
- [j14]Liantao Wang, Qingrui Liu:
Discriminant distance template matching for image recognition. Mach. Vis. Appl. 33(6): 91 (2022) - 2021
- [j13]Kang Yin, Liantao Wang, Jinxia Zhang:
ST-CSNN: a novel method for vehicle counting. Mach. Vis. Appl. 32(5): 108 (2021)
2010 – 2019
- 2019
- [j12]Liantao Wang, Tingwei Wang, Xuelei Hu:
Logistic Regression Region Weighting for Weakly Supervised Object Localization. IEEE Access 7: 118411-118421 (2019) - [j11]Liantao Wang, Qingwu Li, Jianfeng Lu:
Weakly supervised segment annotation via expectation kernel density estimation. IET Comput. Vis. 13(4): 435-441 (2019) - [j10]Liantao Wang, Dong Deng, Chunlei Chen:
Feature Voting for Object Localization via Density Ratio Estimation. KSII Trans. Internet Inf. Syst. 13(12): 6009-6027 (2019) - [j9]Liantao Wang, Qingwu Li, Yan Zhou:
Multiple-Instance Discriminant Analysis for Weakly Supervised Segment Annotation. IEEE Trans. Image Process. 28(11): 5716-5728 (2019) - 2018
- [j8]Liantao Wang, Qingwu Li, Jianfeng Lu, Qiong Wang:
Non-concept density estimation via kernel regression for concept ranking in weakly labelled data. IET Comput. Vis. 12(1): 104-109 (2018) - [j7]Tingwei Wang, Chuancai Liu, Liantao Wang:
Action recognition by Latent Duration Model. Neurocomputing 273: 111-119 (2018) - [j6]Tingwei Wang, Chuancai Liu, Liantao Wang, Bingxian Ma, Xingjian Gu:
Evolution modeling with multi-scale smoothing for action recognition. J. Vis. Commun. Image Represent. 55: 778-788 (2018) - [c5]Liantao Wang, Yan Liu, Jianfeng Lu:
A Least Squares Approach to Region Selection. ICONIP (5) 2018: 348-358 - [i2]Liantao Wang, Qingwu Li, Jianfeng Lu:
Weakly supervised segment annotation via expectation kernel density estimation. CoRR abs/1812.06228 (2018) - 2017
- [j5]Liantao Wang, Jianfeng Lu, Xiangyu Li, Zhan Huan, Jiuzhen Liang, Shuyue Chen:
Learning arbitrary-shape object detector from bounding-box annotation by searching region-graph. Pattern Recognit. Lett. 87: 171-176 (2017) - [j4]Liantao Wang, Deyu Meng, Xuelei Hu, Jianfeng Lu, Ji Zhao:
Instance Annotation via Optimal BoW for Weakly Supervised Object Localization. IEEE Trans. Cybern. 47(5): 1313-1324 (2017) - 2016
- [j3]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. IEEE Trans. Image Process. 25(3): 1084-1094 (2016) - [c4]Zhan Huan, Li Chen, Liantao Wang, CaiYan Wan:
Soil Moisture Content Detection Based on Sensor Networks. BigCom 2016: 157-171 - 2015
- [j2]Liantao Wang, Xuelei Hu, Bo Yuan, Jianfeng Lu:
Active learning via query synthesis and nearest neighbour search. Neurocomputing 147: 426-434 (2015) - 2014
- [j1]Yanting Lu, Liantao Wang, Jianfeng Lu, Jingyu Yang, Chunhua Shen:
Multiple kernel clustering based on centered kernel alignment. Pattern Recognit. 47(11): 3656-3664 (2014) - [c3]Liantao Wang, Ji Zhao, Xuelei Hu, Jianfeng Lu:
Weakly supervised object localization via maximal entropy random walk. ICIP 2014: 1614-1617 - [i1]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. CoRR abs/1407.5245 (2014) - 2012
- [c2]Yanting Lu, Jianfeng Lu, Liantao Wang, Jing-Yu Yang:
Constructing Class Hierarchy via Adaptive Kernel Learning. CCPR 2012: 72-79 - [c1]Xuelei Hu, Liantao Wang, Bo Yuan:
Querying representative points from a pool based on synthesized queries. IJCNN 2012: 1-6
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