Search Results for author: Ying Wang

Found 43 papers, 8 papers with code

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism

no code implementations1 Dec 2021 Minghan Fu, Yanhua Duan, Zhaoping Cheng, Wenjian Qin, Ying Wang, Dong Liang, Zhanli Hu

The derived architecture is referred to as the Teacher-Student Consistency Network (TSC-Net), which consists of the teacher network and the student network with identical architecture.

Contrastive Learning Image Denoising +1

PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds

no code implementations28 Nov 2021 Jie Wang, Jianan Li, Lihe Ding, Ying Wang, Tingfa Xu

Fine-grained geometry, captured by aggregation of point features in local regions, is crucial for object recognition and scene understanding in point clouds.

3D Shape Classification graph construction +3

Perceptual Consistency in Video Segmentation

no code implementations24 Oct 2021 Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi, Xiaoyun Jiang, Fatih Porikli

More specifically, by measuring the perceptual consistency between the predicted segmentation and the available ground truth on a nearby frame and combining it with the segmentation confidence, we can accurately assess the classification correctness on each pixel.

Semantic Segmentation Video Segmentation +1

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

no code implementations15 Oct 2021 Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen

Through experiments we find that, without regression, the performance could be equally promising as long as we delicately design the network to suit the training objective.

Visual Object Tracking

On the Scheduling Policy for Multi-process WNCS under Edge Computing

no code implementations26 Sep 2021 Yifei Qiu, Shaohua Wu, Ying Wang

The monotonicity of the value function in MDP is characterized and then used to show the threshold structure properties of the optimal scheduling policy.

Edge-computing

A Semantic Indexing Structure for Image Retrieval

no code implementations14 Sep 2021 Ying Wang, Tingzhen Liu, Zepeng Bu, YuHui Huang, Lizhong Gao, Qiao Wang

In large-scale image retrieval, many indexing methods have been proposed to narrow down the searching scope of retrieval.

Image Retrieval Semantic Similarity +1

R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

no code implementations7 Jul 2021 Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng

It takes the remote AIoT processor with soft errors in the training loop such that the on-site computing errors can be learned with the application data on the server and the retrained models can be resilient to the soft errors.

HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition

no code implementations25 Jun 2021 Jianbo Liu, Ying Wang, Shiming Xiang, Chunhong Pan

Previous methods for skeleton-based gesture recognition mostly arrange the skeleton sequence into a pseudo picture or spatial-temporal graph and apply deep Convolutional Neural Network (CNN) or Graph Convolutional Network (GCN) for feature extraction.

Gesture Recognition Hierarchical structure

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation

1 code implementation CVPR 2021 Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli

We present a novel boundary-aware loss term for semantic segmentation using an inverse-transformation network, which efficiently learns the degree of parametric transformations between estimated and target boundaries.

Semantic Segmentation

Damage accumulation during high temperature fatigue of Ti/SiC$_f$ metal matrix composites under different stress amplitudes

no code implementations26 Feb 2021 Ying Wang, Xu Xu, Wenxia Zhao, Nan Li, Samuel A. McDonald, Yuan Chai, Michael Atkinson, Katherine J. Dobson, Stefan Michalik, Yingwei Fan, Philip J. Withers, Xiaorong Zhou, Timothy L. Burnett

The three-dimensional morphology of the crack and fibre fractures has been mapped by CT. During stable growth, matrix cracking dominates with the crack deflecting (by 50-100 $\mu$m in height) when bypassing bridging fibres.

Computed Tomography (CT) X-Ray Diffraction (XRD) Materials Science Applied Physics

Hero: On the Chaos When PATH Meets Modules

no code implementations24 Feb 2021 Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung, Na Meng, Hai Yu, Zhiliang Zhu

The results showed that \textsc{Hero} achieved a high detection rate of 98. 5\% on a DM issue benchmark and found 2, 422 new DM issues in 2, 356 popular Golang projects.

Software Engineering

Electroabsorption in gated GaAs nanophotonic waveguides

no code implementations11 Feb 2021 Ying Wang, Ravitej Uppu, Xiaoyan Zhou, Camille Papon, Sven Scholz, Andreas D. Wieck, Arne Ludwig, Peter Lodahl, Leonardo Midolo

We report on the analysis of electroabsorption in thin GaAs/Al$_{0. 3}$Ga$_{0. 7}$As nanophotonic waveguides with an embedded $p$-$i$-$n$ junction.

Optics Materials Science Quantum Physics

SWA Object Detection

2 code implementations23 Dec 2020 Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf

In this technique report, we systematically investigate the effects of applying SWA to object detection as well as instance segmentation.

Instance Segmentation Object Detection +1

Characterizing and Detecting Freezing of Gait using Multi-modal Physiological Signals

no code implementations26 Sep 2020 Ying Wang, Floris Beuving, Jorik Nonnekes, Mike X Cohen, Xi Long, Ronald M Aarts, Richard Van Wezel

Features significantly associated with freezing episodes were ranked and used for the freezing detection.

VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data

no code implementations14 Sep 2020 Yifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke, Jing Hua, Zichun Zhong

A multi-stream convolutional neural network is proposed to learn the 3D volume and 2D MIP features respectively and then explore their inter-dependencies in a joint volume-composition embedding space by unprojecting the MIP features into 3D volume embedding space.

VarifocalNet: An IoU-aware Dense Object Detector

2 code implementations CVPR 2021 Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf

In this paper, we propose to learn an Iou-aware Classification Score (IACS) as a joint representation of object presence confidence and localization accuracy.

Classification General Classification

Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet

1 code implementation29 Jun 2020 Chuang Zhu, Ke Mei, Ting Peng, Yihao Luo, Jun Liu, Ying Wang, Mulan Jin

The automatic and objective medical diagnostic model can be valuable to achieve early cancer detection, and thus reducing the mortality rate.

Bayesian Bits: Unifying Quantization and Pruning

no code implementations NeurIPS 2020 Mart van Baalen, Christos Louizos, Markus Nagel, Rana Ali Amjad, Ying Wang, Tijmen Blankevoort, Max Welling

We introduce Bayesian Bits, a practical method for joint mixed precision quantization and pruning through gradient based optimization.

Quantization

Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware

no code implementations ICLR 2020 Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang

With the proliferation of specialized neural network processors that operate on low-precision integers, the performance of Deep Neural Network inference becomes increasingly dependent on the result of quantization.

Object Detection Quantization

Combining GHOST and Casper

5 code implementations6 Mar 2020 Vitalik Buterin, Diego Hernandez, Thor Kamphefner, Khiem Pham, Zhi Qiao, Danny Ryan, Juhyeok Sin, Ying Wang, Yan X Zhang

We present "Gasper," a proof-of-stake-based consensus protocol, which is an idealized version of the proposed Ethereum 2. 0 beacon chain.

Cryptography and Security 68W15

An Iterative Heuristic Method to Determine Radial Topology for Distribution System Restoration

no code implementations11 Dec 2019 Jiayu Liu, Qiqi Zhang, Jiaxu Li, Ying Wang

The case studies indicate that the proposed method can determine radial topology in a few seconds and ensure the restoration capacity.

LiDAR Iris for Loop-Closure Detection

no code implementations9 Dec 2019 Ying Wang, Zezhou Sun, Cheng-Zhong Xu, Sanjay Sarma, Jian Yang, Hui Kong

In this paper, a global descriptor for a LiDAR point cloud, called LiDAR Iris, is proposed for fast and accurate loop-closure detection.

Loop Closure Detection

Breast Anatomy Enriched Tumor Saliency Estimation

no code implementations23 Oct 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Then we refine the layers by integrating a non-semantic breast anatomy model to solve the problems of incomplete mammary layers.

Saliency Prediction

Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach

2 code implementations3 Jul 2019 Dawen Xu, Ying Wang, Kaijie Tu, Cheng Liu, Bingsheng He, Lei Zhang

Generative neural network is a new category of neural networks and it has been widely utilized in applications such as content generation, unsupervised learning, segmentation and pose estimation.

Pose Estimation

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

1 code implementation24 Jun 2019 Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao

In this paper, we construct an efficient two-stage PWML semantic segmentation network based on the characteristics of the lesion, called refined segmentation R-CNN (RS RCNN).

Lesion Segmentation

Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling

no code implementations18 Jun 2019 Fei Xu, Yingtao Zhang, Min Xian, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues.

Saliency Prediction

Inpatient2Vec: Medical Representation Learning for Inpatients

no code implementations18 Apr 2019 Ying Wang, Xiao Xu, Tao Jin, Xiang Li, Guotong Xie, Jian-Min Wang

In addition, for unordered medical activity set, existing medical RL methods utilize a simple pooling strategy, which would result in indistinguishable contributions among the activities for learning.

Representation Learning Semantic Similarity +1

A Hybrid Framework for Tumor Saliency Estimation

no code implementations27 Jun 2018 Fei Xu, Min Xian, Yingtao Zhang, Kuan Huang, H. D. Cheng, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality.

Saliency Prediction Tumor Segmentation

BUSIS: A Benchmark for Breast Ultrasound Image Segmentation

1 code implementation9 Jan 2018 Min Xian, Yingtao Zhang, H. D. Cheng, Fei Xu, Kuan Huang, Boyu Zhang, Jianrui Ding, Chunping Ning, Ying Wang

Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems.

Tumor Segmentation

Review. Machine learning techniques for traffic sign detection

no code implementations12 Dec 2017 Rinat Mukhometzianov, Ying Wang

An automatic road sign detection system localizes road signs from within images captured by an on-board camera of a vehicle, and support the driver to properly ride the vehicle.

Traffic Sign Detection

Restricting Greed in Training of Generative Adversarial Network

no code implementations28 Nov 2017 Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao

Generative adversarial network (GAN) has gotten wide re-search interest in the field of deep learning.

10,000+ Times Accelerated Robust Subset Selection (ARSS)

no code implementations12 Sep 2014 Feiyun Zhu, Bin Fan, Xinliang Zhu, Ying Wang, Shiming Xiang, Chunhong Pan

Subset selection from massive data with noised information is increasingly popular for various applications.

Ranked #6 on Named Entity Recognition on SciERC (using extra training data)

Action Recognition Collaborative Filtering +16

Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity

no code implementations2 Sep 2014 Feiyun Zhu, Ying Wang, Bin Fan, Gaofeng Meng, Chunhong Pan

Based on this observation, we exploit a learning-based sparsity method to simultaneously learn the HU results and a sparse guidance map.

Hyperspectral Unmixing

Structured Sparse Method for Hyperspectral Unmixing

no code implementations19 Mar 2014 Feiyun Zhu, Ying Wang, Shiming Xiang, Bin Fan, Chunhong Pan

With this constraint, our method can learn a compact space, where highly similar pixels are grouped to share correlated sparse representations.

Hyperspectral Unmixing

Spectral Unmixing via Data-guided Sparsity

no code implementations13 Mar 2014 Feiyun Zhu, Ying Wang, Bin Fan, Gaofeng Meng, Shiming Xiang, Chunhong Pan

Hyperspectral unmixing, the process of estimating a common set of spectral bases and their corresponding composite percentages at each pixel, is an important task for hyperspectral analysis, visualization and understanding.

Hyperspectral Unmixing

Robust Hyperspectral Unmixing with Correntropy based Metric

no code implementations31 May 2013 Ying Wang, Chunhong Pan, Shiming Xiang, Feiyun Zhu

In addition, with sparsity constraints, our model can naturally generate sparse abundances.

Hyperspectral Unmixing

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