Search Results for author: Liping Zhang

Found 17 papers, 2 papers with code

Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook

no code implementations5 Nov 2023 Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai

Point cloud classification is the basis of point cloud analysis, and many deep learning-based methods have been widely used in this task.

3D Point Cloud Classification Autonomous Driving +2

$k$-$t$ CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image Reconstruction

no code implementations17 Oct 2023 Liping Zhang, Weitian Chen

Cardiac magnetic resonance imaging (CMR) has been widely used in clinical practice for the medical diagnosis of cardiac diseases.

Medical Diagnosis MRI Reconstruction

CartiMorph: a framework for automated knee articular cartilage morphometrics

1 code implementation3 Aug 2023 Yongcheng Yao, Junru Zhong, Liping Zhang, Sheheryar Khan, Weitian Chen

We compared our FCL measurements with those from a previous study and found that our measurements deviated less from the ground truths.

Image Registration Segmentation

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction

no code implementations20 Jun 2023 Liping Zhang, Xiaobo Li, Weitian Chen

The image enhancement module learns a coil-combined image prior to suppress noise-like artifacts, while the k-space restoration module explores multi-coil k-space correlations to recover high-frequency details.

Image Enhancement MRI Reconstruction

An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition

no code implementations19 Jun 2023 Liping Zhang, Di wu, Xin Luo

Then, based on the idea of stacking ensemble, long short-term memory is employed as an error correction module to forecast the components separately, and the forecast results are treated as new features to be fed into extreme gradient boosting for the second-step forecasting.

Feature Engineering Load Forecasting +2

A Tensor-BTD-based Modulation for Massive Unsourced Random Access

no code implementations5 Dec 2021 Zhenting Luan, Yuchi Wu, Shansuo Liang, Liping Zhang, Wei Han, Bo Bai

In this letter, we propose a novel tensor-based modulation scheme for massive unsourced random access.

Tensor Decomposition

Learning Continuous Face Representation with Explicit Functions

no code implementations25 Oct 2021 Liping Zhang, Weijun Li, Linjun Sun, Lina Yu, Xin Ning, Xiaoli Dong, Jian Xu, Hong Qin

First, we propose an explicit model (EmFace) for human face representation in the form of a finite sum of mathematical terms, where each term is an analytic function element.

Denoising Image Restoration

Monolithic Integrated Multiband Acoustic Devices on Heterogeneous Substrate for Sub-6 GHz RF-FEMs

no code implementations20 Oct 2021 Shibin Zhang, Hongyan Zhou, Pengcheng Zheng, Jinbo Wu, Liping Zhang, Zhongxu Li, Kai Huang, Xin Ou, Xi Wang

Monolithic integration of multiband (1. 4~ 6. 0 GHz) RF acoustic devices were successfully demonstrated within the same process flow by using the lithium niobate (LN) thin film on silicon carbide (LNOSiC) substrate.

Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images

no code implementations21 Jun 2021 Liping Zhang, Simon Chun-Ho Yu

Accurate liver and lesion segmentation from computed tomography (CT) images are highly demanded in clinical practice for assisting the diagnosis and assessment of hepatic tumor disease.

Computed Tomography (CT) Lesion Detection +4

A Convergent Semi-Proximal Alternating Direction Method of Multipliers for Recovering Internet Traffics from Link Measurements

no code implementations5 Feb 2021 Zhenyu Ming, Liping Zhang, Hao Wu, Yanwei Xu, Mayank Bakshi, Bo Bai, Gong Zhang

Our model can be divided into a series of subproblems, which only relate to the traffics in a certain individual time interval.

Optimization and Control

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

no code implementations3 Aug 2020 Liping Zhang, Weijun Li, Lina Yu, Xiaoli Dong, Linjun Sun, Xin Ning, Jian Xu, Hong Qin

The GmNet is then designed using Gaussian functions as neurons, with parameters that correspond to each of the parameters of GmFace in order to transform the problem of GmFace parameter solving into a network optimization problem of GmNet.

Face Model

A Local Descriptor with Physiological Characteristic for Finger Vein Recognition

no code implementations16 Apr 2020 Liping Zhang, Weijun Li, Xin Ning

In this work, we propose a finger vein-specific local feature descriptors based physiological characteristic of finger vein patterns, i. e., histogram of oriented physiological Gabor responses (HOPGR), for finger vein recognition.

Finger Vein Recognition

Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder

no code implementations26 Mar 2019 Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai

In fact, this objective term guides the encoder towards the "best encoder" of the decoder to enhance the expressiveness.

Text Generation

The Liver Tumor Segmentation Benchmark (LiTS)

6 code implementations13 Jan 2019 Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivantik, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Gruen, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yu, Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern Menze

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018.

Benchmarking Computed Tomography (CT) +3

Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network

no code implementations3 Sep 2018 Liping Zhang, Zongqing Lu, Qingmin Liao

With the motivation of various convolutional neural network(CNN) structures succeeded in single image super-resolution(SISR) task, an end-to-end convolutional neural network is proposed to reconstruct the high resolution(HR) optical flow field from initial LR optical flow with the guidence of the first frame used in optical flow estimation.

Image Super-Resolution Optical Flow Estimation

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