Search Results for author: Yu Guan

Found 34 papers, 20 papers with code

Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction

1 code implementation3 Oct 2023 Yu Guan, Bohui Shen, Xinchong Shi, Xiangsong Zhang, Bingxuan Li, Qiegen Liu

Perceptual analysis and quantitative evaluations illustrate that the invertible network for PET AC outperforms other existing AC models, which demonstrates the potential of the proposed method and the feasibility of achieving brain PET AC without CT.

Computed Tomography (CT)

Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction

1 code implementation2 Sep 2023 Yu Guan, Chuanming Yu, Shiyu Lu, Zhuoxu Cui, Dong Liang, Qiegen Liu

In this study, leveraging a combination of the properties of k-space data and the diffusion process, our novel scheme focuses on mining the multi-frequency prior with different strategies to pre-serve fine texture details in the reconstructed image.

MRI Reconstruction TAR

ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition

1 code implementation22 May 2023 Shuai Shao, Yu Guan, Bing Zhai, Paolo Missier, Thomas Ploetz

Specifically, with the introduction of three conceptual layers--Sampling Layer, Data Augmentation Layer, and Resilient Layer -- we develop three "boosters" -- R-Frame, Mix-up, and C-Drop -- to enrich the per-epoch training data by dense-sampling, synthesizing, and simulating, respectively.

Data Augmentation Human Activity Recognition

Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition

no code implementations23 Dec 2022 Shuai Shao, Yu Guan, Xin Guan, Paolo Missier, Thomas Ploetz

What remains a major challenge though is the sporadic activity recognition (SAR) problem, where activities of interest tend to be non periodic, and occur less frequently when compared with the often large amount of irrelevant background activities.

Human Activity Recognition Time Series Analysis

Universal Generative Modeling in Dual-domain for Dynamic MR Imaging

no code implementations15 Dec 2022 Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu

Therefore, by taking advantage of the uni-fied framework, we proposed a k-space and image Du-al-Domain collaborative Universal Generative Model (DD-UGM) which combines the score-based prior with low-rank regularization penalty to reconstruct highly under-sampled measurements.

Image Reconstruction

Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition

no code implementations19 Aug 2022 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He

In this paper, we study the problem of one-shot skeleton-based action recognition, which poses unique challenges in learning transferable representation from base classes to novel classes, particularly for fine-grained actions.

Action Recognition Meta-Learning +1

Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics

1 code implementation19 Jul 2022 Mike Diessner, Joseph O'Connor, Andrew Wynn, Sylvain Laizet, Yu Guan, Kevin Wilson, Richard D. Whalley

To illustrate how these findings can be used to inform a Bayesian optimization setup tailored to a specific problem, two simulations in the area of computational fluid dynamics are optimized, giving evidence that suitable solutions can be found in a small number of evaluations of the objective function for complex, real problems.

Action Quality Assessment with Temporal Parsing Transformer

1 code implementation19 Jul 2022 Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang

Action Quality Assessment(AQA) is important for action understanding and resolving the task poses unique challenges due to subtle visual differences.

Action Quality Assessment Action Understanding +2

K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction

1 code implementation21 Mar 2022 Zongjiang Tu, Chen Jiang, Yu Guan, Shanshan Wang, Jijun Liu, Qiegen Liu, Dong Liang

Decreasing magnetic resonance (MR) image acquisition times can potentially make MR examinations more accessible.

MRI Reconstruction

Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition

1 code implementation15 Feb 2022 Jie Su, Zhenyu Wen, Tao Lin, Yu Guan

To address this issue, in this work, we proposed a Behaviour Pattern Disentanglement (BPD) framework, which can disentangle the behavior patterns from the irrelevant noises such as personal styles or environmental noises, etc.

Disentanglement Human Activity Recognition

Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing

1 code implementation19 Nov 2021 Bing Zhai, Yu Guan, Michael Catt, Thomas Ploetz

Experimental results demonstrate important evidence that three-stage sleep can be reliably classified by fusing cardiac/movement sensing modalities, which may potentially become a practical tool to conduct large-scale sleep stage assessment studies or long-term self-tracking on sleep.

Open-Ended Question Answering

LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition

no code implementations1 Nov 2021 Tailin Chen, Shidong Wang, Desen Zhou, Yu Guan

We devise our model into a pure factorised architecture which can alternately perform spatial feature aggregation and temporal feature aggregation.

Action Recognition Skeleton Based Action Recognition

MRI Reconstruction Using Deep Energy-Based Model

1 code implementation7 Sep 2021 Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang

In contrast to other generative models for reconstruction, the proposed method utilizes deep energy-based information as the image prior in reconstruction to improve the quality of image.

Image Generation MRI Reconstruction

Semi-Supervised Crowd Counting from Unlabeled Data

no code implementations31 Aug 2021 Haoran Duan, Fan Wan, Rui Sun, Zeyu Wang, Varun Ojha, Yu Guan, Hubert P. H. Shum, Bingzhang Hu, Yang Long

Our method achieved competitive performance in semi-supervised learning approaches on these crowd counting datasets.

Crowd Counting

Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition

1 code implementation10 Aug 2021 Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding

The task of skeleton-based action recognition remains a core challenge in human-centred scene understanding due to the multiple granularities and large variation in human motion.

Action Classification Action Recognition +2

Discriminative Latent Semantic Graph for Video Captioning

1 code implementation8 Aug 2021 Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang song, Maurice Pagnucco, Yu Guan

Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video.

Decoder Object +3

New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition

1 code implementation26 Jan 2021 Shuyu Dong, Bin Gao, Yu Guan, François Glineur

We propose new Riemannian preconditioned algorithms for low-rank tensor completion via the polyadic decomposition of a tensor.

Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization

no code implementations11 Nov 2020 Shidong Wang, Yi Ren, Gerard Parr, Yu Guan, Ling Shao

In this article, we propose a novel invariant deep compressible covariance pooling (IDCCP) to solve nuisance variations in aerial scene categorization.

Image Categorization

Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model

5 code implementations27 Sep 2020 Zhuonan He, Yikun Zhang, Yu Guan, Shanzhou Niu, Yi Zhang, Yang Chen, Qiegen Liu

Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications.

Designing Compact Features for Remote Stroke Rehabilitation Monitoring using Wearable Accelerometers

no code implementations17 Sep 2020 Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet Eyre

Stroke is known as a major global health problem, and for stroke survivors it is key to monitor the recovery levels.

Alternating minimization algorithms for graph regularized tensor completion

1 code implementation28 Aug 2020 Yu Guan, Shuyu Dong, Bin Gao, P. -A. Absil, François Glineur

The usage of graph regularization entails benefits in the learning accuracy of LRTC, but at the same time, induces coupling graph Laplacian terms that hinder the optimization of the tensor completion model.

Query Twice: Dual Mixture Attention Meta Learning for Video Summarization

no code implementations19 Aug 2020 Junyan Wang, Yang Bai, Yang Long, Bingzhang Hu, Zhenhua Chai, Yu Guan, Xiaolin Wei

Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax function.

Meta-Learning Video Summarization

SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting

no code implementations9 Aug 2020 Haoran Duan, Shidong Wang, Yu Guan

To obtain the appropriate crowd representation, in this work we proposed SOFA-Net(Second-Order and First-order Attention Network): second-order statistics were extracted to retain selectivity of the channel-wise spatial information for dense heads while first-order statistics, which can enhance the feature discrimination for the heads' areas, were used as complementary information.

Crowd Counting

Fatigue Assessment using ECG and Actigraphy Sensors

1 code implementation6 Aug 2020 Yang Bai, Yu Guan, Wan-Fai Ng

For deep learning solution, we used state-of-the-art self-attention model, based on which we further proposed a consistency self-attention (CSA) mechanism for fatigue assessment.

Decision Making Feature Engineering +1

Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs

1 code implementation29 Jun 2020 Yulong Gu, Yu Guan, Paolo Missier

Many systems have been developed in recent years to mine logical rules from large-scale Knowledge Graphs (KGs), on the grounds that representing regularities as rules enables both the interpretable inference of new facts, and the explanation of known facts.

Inductive knowledge graph completion Knowledge Graphs

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

no code implementations11 Oct 2019 Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer Rana, Lizhe Wang, Maciej Koutny, Rajiv Ranjan

Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML techniques unlock complete potentials of IoT with intelligence, and IoT applications increasingly feed data collected by sensors into ML models, thereby employing results to improve their business processes and services.

BIG-bench Machine Learning

Dual-reference Age Synthesis

no code implementations7 Aug 2019 Yuan Zhou, Bingzhang Hu, and Jun He, Yu Guan, Ling Shao

Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image.

Generative Adversarial Network

Order Matters: Shuffling Sequence Generation for Video Prediction

1 code implementation20 Jul 2019 Junyan Wang, Bingzhang Hu, Yang Long, Yu Guan

Predicting future frames in natural video sequences is a new challenge that is receiving increasing attention in the computer vision community.

Video Generation Video Prediction

Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers

no code implementations21 Feb 2019 Yan Gao, Yang Long, Yu Guan, Anna Basu, Jessica Baggaley, Thomas Ploetz

We demonstrate the effectiveness of our approach in a study with 34 newborns (21 typically developing infants and 13 PS infants with abnormal movements).

Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach

1 code implementation26 Nov 2018 BingZhang Hu, Yu Guan, Yan Gao, Yang Long, Nicholas Lane, Thomas Ploetz

Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades.

Gait Identification Gait Recognition +1

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

no code implementations28 Mar 2017 Yu Guan, Thomas Ploetz

We demonstrate, both formally and empirically, that Ensembles of deep LSTM learners outperform the individual LSTM networks.

Human Activity Recognition

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