no code implementations • 5 Sep 2012 • Benyuan Liu, Hongqi Fan, Zaiqi Lu, Qiang Fu
The performance such as NMSE and F-measure can be greatly improved due to the annealing technique.
no code implementations • 21 Nov 2012 • Benyuan Liu, Zhilin Zhang, Hongqi Fan, Qiang Fu
One typical correlation structure is the intra-block correlation in block sparse signals.
no code implementations • 20 Sep 2013 • Benyuan Liu, Hongqi Fan, Zaiqi Lu, Qiang Fu
Compressed Sensing based Terahertz imaging (CS-THz) is a computational imaging technique.
no code implementations • 22 Aug 2019 • Pengfei Zhang, Yu Cao, Benyuan Liu
We present a 3D Convolutional Neural Networks (CNNs) based single shot detector for spatial-temporal action detection tasks.
no code implementations • 26 Aug 2019 • Zhi Cao, Honggang Zhang, Yu Cao, Benyuan Liu
We are interested in the optimal scheduling of a collection of multi-component application jobs in an edge computing system that consists of geo-distributed edge computing nodes connected through a wide area network.
no code implementations • 29 Aug 2019 • Ning Zhang, Dechun Wang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu
The anchor mechanism is removed and lesions are formalized as single keypoints.
no code implementations • 5 Sep 2019 • Dechun Wang, Ning Zhang, Xinzi Sun, Pengfei Zhang, Chenxi Zhang, Yu Cao, Benyuan Liu
Though challenging, with the great advances in object detection techniques, automated polyp detection still demonstrates a great potential in reducing the false negative rate while maintaining a high precision.
no code implementations • 19 Nov 2019 • Qilei Chen, Xinzi Sun, Ning Zhang, Yu Cao, Benyuan Liu
We analyze the lesion-vs-image scale carefully and propose a large-size feature pyramid network (LFPN) to preserve more image details for mini lesion instance detection.
no code implementations • 26 Dec 2019 • Xinzi Sun, Pengfei Zhang, Dechun Wang, Yu Cao, Benyuan Liu
The model we design consists of an encoder to extract multi-scale semantic features and a decoder to expand the feature maps to a polyp segmentation map.
no code implementations • 29 Jan 2020 • Ning Zhang, Yu Cao, Benyuan Liu, Yan Luo
This classifier branch is equipped with Feature Aggregation and Local Magnification Layers to enhance the classifier branch.
no code implementations • 26 Mar 2020 • Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang
The first one is that our dataset is not fully labeled, i. e., only a subset of all lesion instances are marked.
no code implementations • 3 Apr 2020 • Alexander Ding, Qilei Chen, Yu Cao, Benyuan Liu
This paper builds upon the success of previous models and develops a novel architecture, which combines object segmentation and convolutional neural networks (CNN) to construct an effective classifier of ROP stages 1-3 based on neonatal retinal images.
no code implementations • 11 Jan 2021 • Xinzi Sun, Dechun Wang, Chenxi Zhang, Pengfei Zhang, Zinan Xiong, Yu Cao, Benyuan Liu, Xiaowei Liu, Shuijiao Chen
All these factors pose a significant challenge to effective polyp detection in a colonoscopy.
no code implementations • 5 Apr 2021 • Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Degang Wang
Financial markets are difficult to predict due to its complex systems dynamics.
no code implementations • 8 Apr 2021 • Jia Wang, Tong Sun, Benyuan Liu, Yu Cao, Hongwei Zhu
Financial markets are a complex dynamical system.
no code implementations • 19 Sep 2021 • Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu
Built on our recent proposed 3DRIMR (3D Reconstruction and Imaging via mmWave Radar), we introduce in this paper DeepPoint, a deep learning model that generates 3D objects in point cloud format that significantly outperforms the original 3DRIMR design.
no code implementations • 27 Jan 2022 • Jia Wang, Hongwei Zhu, Jiancheng Shen, Yu Cao, Benyuan Liu
It is a challenging task to predict financial markets.
no code implementations • 27 Jan 2022 • Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu
To improve the IVF success rate, we propose a knowledge-based decision support system that can provide medical advice on the treatment protocol and medication adjustment for each patient visit during IVF treatment cycle.
no code implementations • 21 Jul 2022 • Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu
Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation systems.