Fangshi Wang

According to our database, Fangshi Wang authored at least 21 papers between 2006 and 2023.

Collaborative distances:

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

2023

A Robust and Low-Complexity Estimation Scheme for Clock Skew Without Timestamp Exchange in Wireless Sensor Networks.

Min Li, Fangshi Wang, Xiaojiang Liu, Heng Wang

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation.

Gangyi Hong, Fangshi Wang, Senmao Tian, Ming Lu, Jiaming Liu, Shunli Zhang

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robot Collaboration System with Resource-constrained IoT Devices.

Qian Zhang, Ruiyang Quan, Siqin Qimuge, Peimin Xia, Jiaheng Wang, Xin Zan, Fangshi Wang, Changchuan Chen, Qi Wei, Huichan Zhao, Xinjun Liu, Fei Qiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

On the Way from Lightweight to Powerful Intelligence: A Heterogeneous Multi-Robot Social System with IoT Devices.

Qian Zhang, Ruiyang Quan, Siqin Qimuge, Rui Wei, Xin Zan, Fangshi Wang, Changchuan Chen, Qi Wei, Xinjun Liu, Fei Qiao

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Real-time monocular depth estimation with adaptive receptive fields.

Zhenyan Ji, Xiaojun Song, Xiaoxuan Guo, Fangshi Wang, José Enrique Armendáriz-Iñigo

J. Real Time Image Process., 2021

2020

Anisotropic Convolution for Image Classification.

Wenjuan Li, Bing Li, Chunfeng Yuan, Yangxi Li, Haohao Wu, Weiming Hu, Fangshi Wang

IEEE Trans. Image Process., 2020

Graph convolutional network with structure pooling and joint-wise channel attention for action recognition.

Yuxin Chen, Gaoqun Ma, Chunfeng Yuan, Bing Li, Hui Zhang, Fangshi Wang, Weiming Hu

Pattern Recognit., 2020

DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features.

Dongjiang Li, Xuesong Shi, Qiwei Long, Shenghui Liu, Wei Yang, Fangshi Wang, Qi Wei, Fei Qiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM.

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2016

Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition.

Weiming Hu, Xinmiao Ding, Bing Li, Jianchao Wang, Yan Gao, Fangshi Wang, Stephen J. Maybank

IEEE Trans. Multim., 2016

Fusing ℝ Features and Local Features with Context-Aware Kernels for Action Recognition.

Chunfeng Yuan, Baoxin Wu, Xi Li, Weiming Hu, Stephen J. Maybank, Fangshi Wang

Int. J. Comput. Vis., 2016

2015

Multi-feature max-margin hierarchical Bayesian model for action recognition.

Shuang Yang, Chunfeng Yuan, Baoxin Wu, Weiming Hu, Fangshi Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Human Action Recognition Based on Oriented Motion Salient Regions.

Baoxin Wu, Shuang Yang, Chunfeng Yuan, Weiming Hu, Fangshi Wang

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2008

Automatic video annotation with adaptive number of key words.

Fangshi Wang, Wei Lu, Jingen Liu, Mubarak Shah, De Xu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Application of Bayesian Inference to Automatic Semantic Annotation of Videos.

Fangshi Wang, De Xu, Hongli Xu, Wei Lu, Weixin Wu

Proceedings of the Model-Based Reasoning in Science, Technology, and Medicine, 2007

Automatic Video Annotation and Retrieval Based on Bayesian Inference.

Fangshi Wang, De Xu, Wei Lu, Weixin Wu

Proceedings of the Advances in Multimedia Modeling, 2007

Visual Perception Theory Guided Depth Motion Estimation.

Bing Li, De Xu, Songhe Feng, Fangshi Wang

Proceedings of the Advances in Multimedia Modeling, 2007

2006

Automatic Annotation and Retrieval for Videos.

Fangshi Wang, De Xu, Wei Lu, Hongli Xu

Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006

An Applicable Multiple-Level Classification Based on Image Semantic.

Hongli Xu, Xu De, Fangshi Wang, Feifei Fan

Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

Construction of Semantic Network for Videos.

Fangshi Wang, De Xu, Hongli Xu, Weixin Wu

Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

User-Centered Image Semantics Classification.

Hongli Xu, De Xu, Fangshi Wang

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006