Search Results for author: Yao Wang

Found 107 papers, 17 papers with code

Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation

no code implementations ECCV 2020 Zhipeng Fan, Jun Liu, Yao Wang

A novel model, called Adaptive Computationally Efficient (ACE) network, is proposed, which takes advantage of a Gaussian kernel based Gate Module to dynamically switch the computation between a light model and a heavy network for feature extraction.

3D Hand Pose Estimation

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

no code implementations22 Jan 2024 Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao, Yao Wang

This paper considers the problem of recovering a tensor with an underlying low-tubal-rank structure from a small number of corrupted linear measurements.

5G Edge Vision: Wearable Assistive Technology for People with Blindness and Low Vision

no code implementations23 Nov 2023 Tommy Azzino, Marco Mezzavilla, Sundeep Rangan, Yao Wang, John-Ross Rizzo

In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information.

Efficient Generalized Low-Rank Tensor Contextual Bandits

no code implementations3 Nov 2023 Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang

In this paper, we aim to build a novel bandits algorithm that is capable of fully harnessing the power of multi-dimensional data and the inherent non-linearity of reward functions to provide high-usable and accountable decision-making services.

Decision Making Multi-Armed Bandits

VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision

no code implementations31 Oct 2023 Yu Hao, Fan Yang, Hao Huang, Shuaihang Yuan, Sundeep Rangan, John-Ross Rizzo, Yao Wang, Yi Fang

By combining the prompt and input image, a large vision-language model (i. e., InstructBLIP) generates detailed and comprehensive descriptions of the environment and identifies potential risks in the environment by analyzing the environmental objects and scenes, relevant to the prompt.

Language Modelling Prompt Engineering +1

Lifting the Veil: Unlocking the Power of Depth in Q-learning

no code implementations27 Oct 2023 Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou

In this paper, we make fundamental contributions to the field of reinforcement learning by answering to the following three questions: Why does deep Q-learning perform so well?

Learning Theory Management +2

Distillation Improves Visual Place Recognition for Low-Quality Queries

no code implementations10 Oct 2023 Anbang Yang, Yao Wang, John-Ross Rizzo, Chen Feng

The shift to online computing for real-time visual localization often requires streaming query images/videos to a server for visual place recognition (VPR), where fast video transmission may result in reduced resolution or increased quantization.

Knowledge Distillation Quantization +2

Provable Tensor Completion with Graph Information

no code implementations4 Oct 2023 Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng

For the model, we establish a rigorous mathematical representation of the dynamic graph, based on which we derive a new tensor-oriented graph smoothness regularization.

Tensor Decomposition

Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters

no code implementations26 Mar 2023 Zhipeng Fan, Yao Wang

Furthermore, we introduce an inverted kinematic(IK) network to translate the estimated hand mesh to a biomechanically feasible set of joint rotation parameters, which is necessary for applications that leverage pose estimation for controlling robotic hands.

3D Hand Pose Estimation

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes

no code implementations21 Feb 2023 Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin

The novelties of our research are as follows: 1) From a methodological perspective, we present a novel and scalable approach for generating DTRs by combining distributed learning with Q-learning.

Learning Theory Medical Diagnosis +2

Dual-mode adaptive-SVD ghost imaging

no code implementations14 Feb 2023 Dajing Wang, Baolei Liu, Jiaqi Song, Yao Wang, Xuchen Shan, Fan Wang

In this paper, we present a dual-mode adaptive singular value decomposition ghost imaging (A-SVD GI), which can be easily switched between the modes of imaging and edge detection.

Edge Detection

Efficient Fraud Detection Using Deep Boosting Decision Trees

1 code implementation12 Feb 2023 Biao Xu, Yao Wang, Xiuwu Liao, Kaidong Wang

In this paper, we propose deep boosting decision trees (DBDT), a novel approach for fraud detection based on gradient boosting and neural networks.

Fraud Detection Representation Learning

Learning Neural Volumetric Field for Point Cloud Geometry Compression

1 code implementation11 Dec 2022 Yueyu Hu, Yao Wang

The neural field representation of the point cloud includes the network parameters and all the latent codes, which are generated by using back-propagation over the network parameters and its input.

Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients

no code implementations12 Oct 2022 Sarmad Mehrdad, Farah E. Shamout, Yao Wang, S. Farokh Atashzar

This is infeasible for telehealth solutions and highlights a gap in deterioration prediction models that are based on minimal data, which can be recorded at a large scale in any clinic, nursing home, or even at the patient's home.

Time Series Time Series Analysis

Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance

no code implementations17 Sep 2022 Yu Hao, Haoyang Pei, Yixuan Lyu, Zhongzheng Yuan, John-Ross Rizzo, Yao Wang, Yi Fang

We further assess the impact of the distance of an object to the camera on the detection accuracy and show that higher spatial resolution enables a greater detection range.

Object object-detection +1

Learning to Predict on Octree for Scalable Point Cloud Geometry Coding

no code implementations6 Sep 2022 Yixiang Mao, Yueyu Hu, Yao Wang

Octree-based point cloud representation and compression have been adopted by the MPEG G-PCC standard.

Denoising

Improved Image Classification with Token Fusion

no code implementations19 Aug 2022 Keong Hun Choi, Jin Woo Kim, Yao Wang, Jong Eun Ha

In this paper, we propose a method using the fusion of CNN and transformer structure to improve image classification performance.

Classification Image Classification

Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision

no code implementations17 Aug 2022 Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, Yi Fang

These functions enable the system to suggest an initial navigation path, continuously update the path as the user moves, and offer timely recommendation about the correction of the user's path.

Object Object Localization

Gabor is Enough: Interpretable Deep Denoising with a Gabor Synthesis Dictionary Prior

1 code implementation23 Apr 2022 Nikola Janjušević, Amirhossein Khalilian-Gourtani, Yao Wang

Gabor-like filters have been observed in the early layers of CNN classifiers and even throughout low-level image processing networks.

Dictionary Learning Image Denoising

Feature Compression for Rate Constrained Object Detection on the Edge

no code implementations15 Apr 2022 Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang

In this work, we consider a "split computation" system to offload a part of the computation of the YOLO object detection model.

Feature Compression object-detection +1

FS6D: Few-Shot 6D Pose Estimation of Novel Objects

1 code implementation CVPR 2022 Yisheng He, Yao Wang, Haoqiang Fan, Jian Sun, Qifeng Chen

6D object pose estimation networks are limited in their capability to scale to large numbers of object instances due to the close-set assumption and their reliance on high-fidelity object CAD models.

6D Pose Estimation 6D Pose Estimation using RGB +1

Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis

no code implementations23 Mar 2022 Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang

These models hence are not optimized for dialog-level emotion detection, i. e. to predict the emotion category of a dialog as a whole.

Emotion Recognition

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices

no code implementations29 Jan 2022 Jiangjun Peng, Yao Wang, Hongying Zhang, Jianjun Wang, Deyu Meng

It is known that the decomposition in low-rank and sparse matrices (\textbf{L+S} for short) can be achieved by several Robust PCA techniques.

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

no code implementations25 Dec 2021 Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd Hudson, William Seiple, Yi Fang, Sundeep Rangan, Yao Wang, J. R. Rizzo

The vision evaluation is combined with a detailed full-stack wireless network simulation to determine the distribution of throughputs and delays with real navigation paths and ray-tracing from new high-resolution 3D models in an urban environment.

Edge-computing object-detection +1

DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning

1 code implementation18 Dec 2021 Haotian Li, Hongri Liu, Yao Wang, Guodong Xin, Yuliang Wei

Link prediction for knowledge graphs is the task aiming to complete missing facts by reasoning based on the existing knowledge.

Knowledge Graphs Link Prediction +2

An original model for multi-target learning of logical rules for knowledge graph reasoning

2 code implementations12 Dec 2021 Yuliang Wei, Haotian Li, Guodong Xin, Yao Wang, Bailing Wang

In this paper, we study the problem of learning logical rules for reasoning on knowledge graphs for completing missing factual triplets.

Knowledge Graphs

Scanpath Prediction on Information Visualisations

no code implementations4 Dec 2021 Yao Wang, Mihai Bâce, Andreas Bulling

We propose Unified Model of Saliency and Scanpaths (UMSS) -- a model that learns to predict visual saliency and scanpaths (i. e. sequences of eye fixations) on information visualisations.

Saliency Prediction Scanpath prediction

CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing

1 code implementation2 Dec 2021 Nikola Janjušević, Amirhossein Khalilian-Gourtani, Yao Wang

In this work, we propose an unrolled convolutional dictionary learning network (CDLNet) and demonstrate its competitive denoising and joint denoising and demosaicing (JDD) performance both in low and high parameter count regimes.

Demosaicking Denoising +1

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels

1 code implementation29 Nov 2021 Jack Langerman, Ziming Qiu, Gábor Sörös, Dávid Sebők, Yao Wang, Howard Huang

One of the key criticisms of deep learning is that large amounts of expensive and difficult-to-acquire training data are required in order to train models with high performance and good generalization capabilities.

Domain Adaptation Image-to-Image Translation +1

Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU Nets

no code implementations28 Nov 2021 Shao-Bo Lin, Yao Wang, Ding-Xuan Zhou

In this paper, we study the generalization performance of global minima for implementing empirical risk minimization (ERM) on over-parameterized deep ReLU nets.

Nyström Regularization for Time Series Forecasting

no code implementations13 Nov 2021 Zirui Sun, Mingwei Dai, Yao Wang, Shao-Bo Lin

This paper focuses on learning rate analysis of Nystr\"{o}m regularization with sequential sub-sampling for $\tau$-mixing time series.

Time Series Time Series Forecasting

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration

no code implementations24 Sep 2021 Chenhao Wang, Qianxin Yi, Xiuwu Liao, Yao Wang

Frequent Directions, as a deterministic matrix sketching technique, has been proposed for tackling low-rank approximation problems.

Computational Efficiency

Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation

1 code implementation13 Sep 2021 Yang Zhang, Yao Wang, Zhi Han, Xi'ai Chen, Yandong Tang

Accordingly, a novel formulation for tensor completion and an effective optimization algorithm, called as tensor completion by parallel weighted matrix factorization via tensor train (TWMac-TT), is proposed.

Blocking

Effective Streaming Low-tubal-rank Tensor Approximation via Frequent Directions

no code implementations23 Aug 2021 Qianxin Yi, Chenhao Wang, Kaidong Wang, Yao Wang

Low-tubal-rank tensor approximation has been proposed to analyze large-scale and multi-dimensional data.

End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation

no code implementations5 Aug 2021 Haojie Liu, Ming Lu, Zhiqi Chen, Xun Cao, Zhan Ma, Yao Wang

We further design a one-to-many decoder pipeline to generate multiple predictions from the CSTR, including vector-based resampling, adaptive kernel-based resampling, compensation mode selection maps and texture enhancements, and combines them adaptively to achieve more accurate inter prediction.

Motion Compensation MS-SSIM +3

Double-Dot Network for Antipodal Grasp Detection

no code implementations3 Aug 2021 Yao Wang, Yangtao Zheng, Boyang Gao, Di Huang

This paper proposes a new deep learning approach to antipodal grasp detection, named Double-Dot Network (DD-Net).

object-detection Object Detection

Universal Consistency of Deep Convolutional Neural Networks

no code implementations23 Jun 2021 Shao-Bo Lin, Kaidong Wang, Yao Wang, Ding-Xuan Zhou

Compared with avid research activities of deep convolutional neural networks (DCNNs) in practice, the study of theoretical behaviors of DCNNs lags heavily behind.

PDWN: Pyramid Deformable Warping Network for Video Interpolation

no code implementations4 Apr 2021 Zhiqi Chen, Ran Wang, Haojie Liu, Yao Wang

At the finest scale, the two warped frames are adaptively blended to generate the middle frame.

Optical Flow Estimation

CDLNet: Robust and Interpretable Denoising Through Deep Convolutional Dictionary Learning

1 code implementation5 Mar 2021 Nikola Janjušević, Amirhossein Khalilian-Gourtani, Yao Wang

In addition, we leverage the model's interpretable construction to propose an augmentation of the network's thresholds that enables state-of-the-art blind denoising performance and near-perfect generalization on noise-levels unseen during training.

Dictionary Learning Grayscale Image Denoising +1

The distance between the weights of the neural network is meaningful

no code implementations31 Jan 2021 Liqun Yang, Yijun Yang, Yao Wang, Zhenyu Yang, Wei Zeng

In the application of neural networks, we need to select a suitable model based on the problem complexity and the dataset scale.

Motion Adaptive Pose Estimation From Compressed Videos

no code implementations ICCV 2021 Zhipeng Fan, Jun Liu, Yao Wang

A novel model, called Motion Adaptive Pose Net is proposed to exploit the compressed streams to efficiently decode pose sequences from videos.

Motion Compensation Pose Estimation

Incoherent transport in a classical spin liquid

no code implementations29 Dec 2020 Yao Wang, Yuan Wan

The finite zero temperature limits of the diffusion constants are then naturally understood as a result of the finite mean free path of the normal modes due to the effective disorder.

Strongly Correlated Electrons Statistical Mechanics

Marcus' electron transfer rate revisited via a Rice-Ramsperger-Kassel-Marcus analogue: A unified formalism for linear and nonlinear solvation scenarios

no code implementations10 Oct 2020 Yao Wang, Yu Su, Rui-Xue Xu, Xiao Zheng, YiJing Yan

In this work, on the basis of the thermodynamic solvation potentials analysis, we reexamine Marcus' formula with respect to the Rice-Ramsperger-Kassel-Marcus (RRKM) theory.

Chemical Physics

Kernel-based L_2-Boosting with Structure Constraints

no code implementations16 Sep 2020 Yao Wang, Xin Guo, Shao-Bo Lin

Numerically, we carry out a series of simulations to show the promising performance of KReBooT in terms of its good generalization, near over-fitting resistance and structure constraints.

Theoretical formulations on thermodynamics of quantum impurity systems

no code implementations27 Aug 2020 Hong Gong, Yao Wang, Hou-Dao Zhang, Rui-Xue Xu, Xiao Zheng, YiJing Yan

In this work, we put forward the theoretical foundation toward thermodynamics of quantum impurity systems measurable in experiments.

Quantum Physics Statistical Mechanics

Neural Video Coding using Multiscale Motion Compensation and Spatiotemporal Context Model

no code implementations9 Jul 2020 Haojie Liu, Ming Lu, Zhan Ma, Fan Wang, Zhihuang Xie, Xun Cao, Yao Wang

Over the past two decades, traditional block-based video coding has made remarkable progress and spawned a series of well-known standards such as MPEG-4, H. 264/AVC and H. 265/HEVC.

Motion Compensation MS-SSIM +2

Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal Control

1 code implementation27 Feb 2020 Junjia Liu, Huimin Zhang, Zhuang Fu, Yao Wang

By extending the idea of Markov Chain to the dimension of space-time, this truly decentralized coordination mechanism replaces the graph attention method and realizes the decoupling of the road network, which is more scalable and more in line with practice.

Graph Attention Multi-agent Reinforcement Learning

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples

no code implementations12 Oct 2019 Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang

We propose an optimization model for constructing a preference model from such valued examples by maximizing the credible consistency among reference alternatives.

Neural Image Compression via Non-Local Attention Optimization and Improved Context Modeling

1 code implementation11 Oct 2019 Tong Chen, Haojie Liu, Zhan Ma, Qiu Shen, Xun Cao, Yao Wang

This paper proposes a novel Non-Local Attention optmization and Improved Context modeling-based image compression (NLAIC) algorithm, which is built on top of the deep nerual network (DNN)-based variational auto-encoder (VAE) structure.

Image Compression MS-SSIM +1

Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection

no code implementations17 Sep 2019 Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang

Robust Principal Component Analysis (RPCA) performs low-rank and sparse decomposition and accomplishes such a task when the background is stationary and the foreground is dynamic and relatively small.

Moving Object Detection object-detection

Deep Plug-and-play Prior for Low-rank Tensor Completion

no code implementations11 May 2019 Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael Ng

By integrating deterministic low-rankness prior to the data-driven deep prior, we suggest a novel regularized tensor completion model for multi-dimensional image completion.

Denoising

Non-local Attention Optimized Deep Image Compression

no code implementations22 Apr 2019 Haojie Liu, Tong Chen, Peiyao Guo, Qiu Shen, Xun Cao, Yao Wang, Zhan Ma

This paper proposes a novel Non-Local Attention Optimized Deep Image Compression (NLAIC) framework, which is built on top of the popular variational auto-encoder (VAE) structure.

Image Compression MS-SSIM +1

TrackNet: Simultaneous Object Detection and Tracking and Its Application in Traffic Video Analysis

no code implementations4 Feb 2019 Chenge Li, Gregory Dobler, Xin Feng, Yao Wang

We propose a novel network structure named trackNet that can directly detect a 3D tube enclosing a moving object in a video segment by extending the faster R-CNN framework.

Object object-detection +3

Very Long Term Field of View Prediction for 360-degree Video Streaming

1 code implementation4 Feb 2019 Chenge Li, Weixi Zhang, Yong liu, Yao Wang

In this work, we treat the FoV prediction as a sequence learning problem, and propose to predict the target user's future FoV not only based on the user's own past FoV center trajectory but also other users' future FoV locations.

Deep Generative Learning via Variational Gradient Flow

1 code implementation24 Jan 2019 Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang

We propose a general framework to learn deep generative models via \textbf{V}ariational \textbf{Gr}adient Fl\textbf{ow} (VGrow) on probability spaces.

Binary Classification

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing

no code implementations18 Sep 2018 Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung

The 3-D total variation (3DTV) is a powerful regularization term, which encodes the local smoothness prior structure underlying a hyper-spectral image (HSI), for general HSI processing tasks.

Image Denoising

Integrated Server for Measurement-Device-Independent Quantum Key Distribution Network

no code implementations26 Aug 2018 Ci-Yu Wang, Jun Gao, Zhi-Qiang Jiao, Lu-Feng Qiao, Ruo-Jing Ren, Zhen Feng, Yuan Chen, Zeng-Quan Yan, Yao Wang, Hao Tang, Xian-Min Jin

Quantum key distribution (QKD), harnessing quantum physics and optoelectronics, may promise unconditionally secure information exchange in theory.

Quantum Physics

MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features

no code implementations27 Jun 2018 Shervin Minaee, Yao Wang, Alp Aygar, Sohae Chung, Xiuyuan Wang, Yvonne W. Lui, Els Fieremans, Steven Flanagan, Joseph Rath

Unlike most of previous works, which use hand-crafted features extracted from different parts of brain for MTBI classification, we employ feature learning algorithms to learn more discriminative representation for this task.

Multispectral Image Intrinsic Decomposition via Subspace Constraint

no code implementations CVPR 2018 Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao

In this paper, a new Multispectral Image Intrinsic Decomposition model (MIID) is presented to decompose the shading and reflectance from a single multispectral image.

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors

3 code implementations20 Mar 2018 Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang

In this paper, we propose a novel video rain streak removal approach FastDeRain, which fully considers the discriminative characteristics of rain streaks and the clean video in the gradient domain.

Multispectral Image Intrinsic Decomposition via Low Rank Constraint

no code implementations24 Feb 2018 Qian Huang, Weixin Zhu, Yang Zhao, Linsen Chen, Yao Wang, Tao Yue, Xun Cao

In this paper, a Low Rank Multispectral Image Intrinsic Decomposition model (LRIID) is presented to decompose the shading and reflectance from a single multispectral image.

A Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI

no code implementations8 Feb 2018 Shervin Minaee, Yao Wang, Anna Choromanska, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W. Lui

Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1. 7 million people annually in US.

Pixel-wise object tracking

no code implementations20 Nov 2017 Yilin Song, Chenge Li, Yao Wang

In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background.

Object Segmentation +2

Identifying Mild Traumatic Brain Injury Patients From MR Images Using Bag of Visual Words

no code implementations18 Oct 2017 Shervin Minaee, Siyun Wang, Yao Wang, Sohae Chung, Xiuyuan Wang, Els Fieremans, Steven Flanagan, Joseph Rath, Yvonne W. Lui

Mild traumatic brain injury (mTBI) is a growing public health problem with an estimated incidence of one million people annually in US.

feature selection

Tensor RPCA by Bayesian CP Factorization With Complex Noise

no code implementations ICCV 2017 Qiong Luo, Zhi Han, Xi'ai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang

In this paper, we propose a tensor RPCA model based on CP decomposition and model data noise by Mixture of Gaussians (MoG).

valid

Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

no code implementations8 Jul 2017 Yao Wang, Jiangjun Peng, Qian Zhao, Deyu Meng, Yee Leung, Xi-Le Zhao

In this paper, we present a novel tensor-based HSI restoration approach by fully identifying the intrinsic structures of the clean HSI part and the mixed noise part respectively.

Image Restoration Tensor Decomposition

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning

no code implementations20 Jun 2017 Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu

Specifically, the underlying loss being minimized by the traditional AdaBoost is the exponential loss, which is proved to be very sensitive to random noise/outliers.

Text Extraction From Texture Images Using Masked Signal Decomposition

no code implementations11 Jun 2017 Shervin Minaee, Yao Wang

Text extraction is an important problem in image processing with applications from optical character recognition to autonomous driving.

Autonomous Driving Optical Character Recognition +2

Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution

no code implementations19 May 2017 Jen-wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa

In high-frequency ultrasound images of lymph nodes, the intensity distribution of lymph node parenchyma and fat varies spatially because of acoustic attenuation and focusing effects.

A General Model for Robust Tensor Factorization with Unknown Noise

no code implementations18 May 2017 Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang

We provide two versions of the algorithm with different tensor factorization operations, i. e., CP factorization and Tucker factorization.

Multi Resolution LSTM For Long Term Prediction In Neural Activity Video

no code implementations8 May 2017 Yilin Song, Jonathan Viventi, Yao Wang

Epileptic seizures are caused by abnormal, overly syn- chronized, electrical activity in the brain.

Video Prediction

An ADMM Approach to Masked Signal Decomposition Using Subspace Representation

no code implementations25 Apr 2017 Shervin Minaee, Yao Wang

Signal decomposition is a classical problem in signal processing, which aims to separate an observed signal into two or more components each with its own property.

Subspace Learning in The Presence of Sparse Structured Outliers and Noise

no code implementations14 Mar 2017 Shervin Minaee, Yao Wang

Subspace learning is an important problem, which has many applications in image and video processing.

Clustering Image Segmentation +2

Image Segmentation Using Overlapping Group Sparsity

no code implementations23 Nov 2016 Shervin Minaee, Yao Wang

Sparse decomposition has been widely used for different applications, such as source separation, image classification and image denoising.

Clustering Image Classification +5

Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction

no code implementations15 Nov 2016 Yilin Song, Jonathan Viventi, Yao Wang

Recog- nizing that there exist multiple activity pattern clusters, we have further explored to train an ensemble of LSTM mod- els so that each model can specialize in modeling certain neural activities, without explicitly clustering the training data.

Activity Prediction Clustering +1

Image Decomposition Using a Robust Regression Approach

no code implementations13 Sep 2016 Shervin Minaee, Yao Wang

This paper considers how to separate text and/or graphics from smooth background in screen content and mixed content images and proposes an algorithm to perform this segmentation task.

Clustering Foreground Segmentation +3

Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition

no code implementations8 Jul 2016 Shervin Minaee, Yao Wang

This paper considers how to separate text and/or graphics from smooth background in screen content and mixed document images and proposes two approaches to perform this segmentation task.

Image Segmentation Medical Image Segmentation +3

Palmprint Recognition Using Deep Scattering Convolutional Network

no code implementations30 Mar 2016 Shervin Minaee, Yao Wang

Many algorithms have been proposed for palmprint recognition in the past, majority of them being based on features extracted from the transform domain.

Translation

Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization

no code implementations7 Feb 2016 Shervin Minaee, Yao Wang

Sparse decomposition has been widely used for different applications, such as source separation, image classification, image denoising and more.

Clustering Image Classification +4

Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization

no code implementations23 Jan 2016 Shiying He, Haiwei Zhou, Yao Wang, Wenfei Cao, Zhi Han

In this paper, we propose a novel approach to hyperspectral image super-resolution by modeling the global spatial-and-spectral correlation and local smoothness properties over hyperspectral images.

Hyperspectral Image Super-Resolution Image Super-Resolution

Divide and Conquer Local Average Regression

no code implementations23 Jan 2016 Xiangyu Chang, Shao-Bo Lin, Yao Wang

After theoretically analyzing the pros and cons, we find that although the divide and conquer local average regression can reach the optimal learning rate, the restric- tion to the number of data blocks is a bit strong, which makes it only feasible for small number of data blocks.

regression

A Novel Sparsity Measure for Tensor Recovery

no code implementations ICCV 2015 Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu

In this paper, we propose a new sparsity regularizer for measuring the low-rank structure underneath a tensor.

Fingerprint Recognition Using Translation Invariant Scattering Network

no code implementations11 Sep 2015 Shervin Minaee, Yao Wang

Different features and algorithms have been used for fingerprint recognition in the past.

Template Matching Translation

Shrinkage degree in $L_2$-re-scale boosting for regression

no code implementations17 May 2015 Lin Xu, Shao-Bo Lin, Yao Wang, Zongben Xu

Re-scale boosting (RBoosting) is a variant of boosting which can essentially improve the generalization performance of boosting learning.

regression

Re-scale boosting for regression and classification

no code implementations6 May 2015 Shaobo Lin, Yao Wang, Lin Xu

Boosting is a learning scheme that combines weak prediction rules to produce a strong composite estimator, with the underlying intuition that one can obtain accurate prediction rules by combining "rough" ones.

Classification General Classification +1

Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements

no code implementations6 Mar 2015 Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu

In this paper, we propose a novel tensor-based robust PCA (TenRPCA) approach for BSCM by decomposing video frames into backgrounds with spatial-temporal correlations and foregrounds with spatio-temporal continuity in a tensor framework.

Screen Content Image Segmentation Using Least Absolute Deviation Fitting

no code implementations15 Jan 2015 Shervin Minaee, Yao Wang

The proposed method is designed based on the assumption that the background part of the image is smoothly varying and can be represented by a linear combination of a few smoothly varying basis functions, while the foreground text and graphics create sharp discontinuity and cannot be modeled by this smooth representation.

Clustering Foreground Segmentation +4

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