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Fangshi Wang
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2020 – today
- 2023
- [c15]Gangyi Hong, Fangshi Wang, Senmao Tian, Ming Lu, Jiaming Liu, Shunli Zhang:
HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation. ICIP 2023: 440-444 - [c14]Min Li, Fangshi Wang, Xiaojiang Liu, Heng Wang:
A Robust and Low-Complexity Estimation Scheme for Clock Skew Without Timestamp Exchange in Wireless Sensor Networks. VTC Fall 2023: 1-5 - 2022
- [c13]Qian Zhang, Ruiyang Quan, Siqin Qimuge, Rui Wei, Xin Zan, Fangshi Wang, Changchuan Chen, Qi Wei, Xinjun Liu, Fei Qiao:
On the Way from Lightweight to Powerful Intelligence: A Heterogeneous Multi-Robot Social System with IoT Devices. CASE 2022: 842-848 - [c12]Qian Zhang, Ruiyang Quan, Siqin Qimuge, Peimin Xia, Jiaheng Wang, Xin Zan, Fangshi Wang, Changchuan Chen, Qi Wei, Huichan Zhao, Xinjun Liu, Fei Qiao:
OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robot Collaboration System with Resource-constrained IoT Devices. IROS 2022: 2556-2563 - 2021
- [j5]Zhenyan Ji, Xiaojun Song, Xiaoxuan Guo, Fangshi Wang, José Enrique Armendáriz-Iñigo:
Real-time monocular depth estimation with adaptive receptive fields. J. Real Time Image Process. 18(4): 1369-1381 (2021) - 2020
- [j4]Yuxin Chen, Gaoqun Ma, Chunfeng Yuan, Bing Li, Hui Zhang, Fangshi Wang, Weiming Hu:
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition. Pattern Recognit. 103: 107321 (2020) - [j3]Wenjuan Li, Bing Li, Chunfeng Yuan, Yangxi Li, Haohao Wu, Weiming Hu, Fangshi Wang:
Anisotropic Convolution for Image Classification. IEEE Trans. Image Process. 29: 5584-5595 (2020) - [c11]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 2020: 3139-3145 - [c10]Dongjiang Li, Xuesong Shi, Qiwei Long, Shenghui Liu, Wei Yang, Fangshi Wang, Qi Wei, Fei Qiao:
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features. IROS 2020: 4958-4965 - [i2]Dongjiang Li, Xuesong Shi, Qiwei Long, Shenghui Liu, Wei Yang, Fangshi Wang, Qi Wei, Fei Qiao:
DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features. CoRR abs/2008.05416 (2020)
2010 – 2019
- 2019
- [i1]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. CoRR abs/1911.05603 (2019) - 2016
- [j2]Chunfeng Yuan, Baoxin Wu, Xi Li, Weiming Hu, Stephen J. Maybank, Fangshi Wang:
Fusing ℝ Features and Local Features with Context-Aware Kernels for Action Recognition. Int. J. Comput. Vis. 118(2): 151-171 (2016) - [j1]Weiming Hu, Xinmiao Ding, Bing Li, Jianchao Wang, Yan Gao, Fangshi Wang, Stephen J. Maybank:
Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition. IEEE Trans. Multim. 18(1): 76-89 (2016) - 2015
- [c9]Shuang Yang, Chunfeng Yuan, Baoxin Wu, Weiming Hu, Fangshi Wang:
Multi-feature max-margin hierarchical Bayesian model for action recognition. CVPR 2015: 1610-1618 - 2014
- [c8]Baoxin Wu, Shuang Yang, Chunfeng Yuan, Weiming Hu, Fangshi Wang:
Human Action Recognition Based on Oriented Motion Salient Regions. ACCV Workshops (1) 2014: 113-128
2000 – 2009
- 2008
- [c7]Fangshi Wang, Wei Lu, Jingen Liu, Mubarak Shah, De Xu:
Automatic video annotation with adaptive number of key words. ICPR 2008: 1-4 - 2007
- [c6]Bing Li, De Xu, Songhe Feng, Fangshi Wang:
Visual Perception Theory Guided Depth Motion Estimation. MMM (1) 2007: 198-206 - [c5]Fangshi Wang, De Xu, Wei Lu, Weixin Wu:
Automatic Video Annotation and Retrieval Based on Bayesian Inference. MMM (1) 2007: 279-288 - [p1]Fangshi Wang, De Xu, Hongli Xu, Wei Lu, Weixin Wu:
Application of Bayesian Inference to Automatic Semantic Annotation of Videos. Model-Based Reasoning in Science, Technology, and Medicine 2007: 447-466 - 2006
- [c4]Hongli Xu, De Xu, Fangshi Wang:
User-Centered Image Semantics Classification. ADMA 2006: 181-188 - [c3]Fangshi Wang, De Xu, Hongli Xu, Weixin Wu:
Construction of Semantic Network for Videos. ICICIC (2) 2006: 217-220 - [c2]Hongli Xu, Xu De, Fangshi Wang, Feifei Fan:
An Applicable Multiple-Level Classification Based on Image Semantic. ICICIC (3) 2006: 633-636 - [c1]Fangshi Wang, De Xu, Wei Lu, Hongli Xu:
Automatic Annotation and Retrieval for Videos. PSIVT 2006: 1030-1040
Coauthor Index
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