Search Results for author: Qi Yang

Found 57 papers, 17 papers with code

Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment

no code implementations13 Jul 2024 Yujie Zhang, Qi Yang, Ziyu Shan, Yiling Xu

Recent years have witnessed the success of the deep learning-based technique in research of no-reference point cloud quality assessment (NR-PCQA).

Point Cloud Quality Assessment

Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy

no code implementations4 Jul 2024 Yujie Zhang, Qi Yang, Yiling Xu, Shan Liu

To bridge the gap, in this paper, we propose a perception-guided hybrid metric (PHM) that adaptively leverages two visual strategies with respect to distortion degree to predict point cloud quality: to measure visible difference in high-quality samples, PHM takes into account the masking effect and employs texture complexity as an effective compensatory factor for absolute difference; on the other hand, PHM leverages spectral graph theory to evaluate appearance degradation in low-quality samples.

Point Cloud Quality Assessment

Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI

no code implementations27 Mar 2024 Tian Yu, Yunhe Li, Michael E. Kim, Chenyu Gao, Qi Yang, Leon Y. Cai, Susane M. Resnick, Lori L. Beason-Held, Daniel C. Moyer, Kurt G. Schilling, Bennett A. Landman

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure.

Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment

no code implementations CVPR 2024 Ziyu Shan, Yujie Zhang, Qi Yang, Haichen Yang, Yiling Xu, Jenq-Neng Hwang, Xiaozhong Xu, Shan Liu

Furthermore, in the model fine-tuning stage, we propose a semantic-guided multi-view fusion module to effectively integrate the features of projected images from multiple perspectives.

Philosophy Point Cloud Quality Assessment

PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment

no code implementations15 Mar 2024 Ziyu Shan, Yujie Zhang, Qi Yang, Haichen Yang, Yiling Xu, Shan Liu

Furthermore, in the model fine-tuning stage, the learned content-aware features serve as a guide to fuse the point cloud quality features extracted from different perspectives.

Point Cloud Quality Assessment

Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation

1 code implementation CVPR 2024 Qi Yang, Xing Nie, Tong Li, Pengfei Gao, Ying Guo, Cheng Zhen, Pengfei Yan, Shiming Xiang

For the first time, our framework explores three types of bilateral entanglements within AVS: pixel entanglement, modality entanglement, and temporal entanglement.

Ziya2: Data-centric Learning is All LLMs Need

no code implementations6 Nov 2023 Ruyi Gan, Ziwei Wu, Renliang Sun, Junyu Lu, XiaoJun Wu, Dixiang Zhang, Kunhao Pan, Junqing He, Yuanhe Tian, Ping Yang, Qi Yang, Hao Wang, Jiaxing Zhang, Yan Song

Although many such issues are addressed along the line of research on LLMs, an important yet practical limitation is that many studies overly pursue enlarging model sizes without comprehensively analyzing and optimizing the use of pre-training data in their learning process, as well as appropriate organization and leveraging of such data in training LLMs under cost-effective settings.

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution

1 code implementation30 Sep 2023 Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman

We hypothesize that deformable convolution can be an exploratory alternative to combine all advantages from the previous operators, providing long-range dependency, adaptive spatial aggregation and computational efficiency as a foundation backbone.

Computational Efficiency Image Segmentation +2

SJTU-TMQA: A quality assessment database for static mesh with texture map

no code implementations27 Sep 2023 Bingyang Cui, Qi Yang, Kaifa Yang, Yiling Xu, Xiaozhong Xu, Shan Liu

However, little research has been done on the quality assessment of textured meshes, which hinders the development of quality-oriented applications, such as mesh compression and enhancement.

Diversity

Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization

1 code implementation17 Sep 2023 Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman

We further evaluate our method's capability to harmonize longitudinal positional variation on 1033 subjects from the Baltimore Longitudinal Study of Aging (BLSA) dataset, which contains longitudinal single abdominal slices, and confirmed that our method can harmonize the slice positional variance in terms of visceral fat area.

Computed Tomography (CT)

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration

1 code implementation8 Sep 2023 Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman

Subsequently, the model is finetuned with 45 T1w 3D volumes from Open Access Series Imaging Studies (OASIS) where both 133 whole brain classes and TICV/PFV labels are available.

Brain Segmentation Segmentation

GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity

no code implementations9 Aug 2023 Qi Yang, Joel Jung, Xiaozhong Xu, Shan Liu

A two-step patch cropping algorithm and a patch texture mapping module refine the size of 1-hop geodesic patches and build the relationship between the mesh geometry and color information, resulting in the generation of 1-hop textured geodesic patches.

TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations

no code implementations3 Aug 2023 Qi Yang, Joel Jung, Timon Deschamps, Xiaozhong Xu, Shan Liu

Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort them and degrade their quality.

TSMD: A Database for Static Color Mesh Quality Assessment Study

no code implementations3 Aug 2023 Qi Yang, Joel Jung, Haiqiang Wang, Xiaozhong Xu, Shan Liu

Static meshes with texture map are widely used in modern industrial and manufacturing sectors, attracting considerable attention in the mesh compression community due to its huge amount of data.

Diversity

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-relevance Degradation Description

no code implementations4 Jul 2023 Yipeng Liu, Qi Yang, Yujie Zhang, Yiling Xu, Le Yang, Xiaozhong Xu, Shan Liu

Second, to reduce the significant domain discrepancy, we establish an intermediate domain, the description domain, based on insights from subjective experiments, by considering the domain relevance among samples located in the perception domain and learning a structured latent space.

Point Cloud Quality Assessment regression

Cascade Subspace Clustering for Outlier Detection

no code implementations23 Jun 2023 Qi Yang, Hao Zhu

A suitable Markov Chain can be defined on the self-representation and it allows us to recognize the difference between inliers and outliers.

Clustering Outlier Detection

Multi-Contrast Computed Tomography Atlas of Healthy Pancreas

no code implementations2 Jun 2023 Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman

Briefly, DEEDs affine and non-rigid registration are performed to transfer patient abdominal volumes to a fixed high-resolution atlas template.

Anatomy Computed Tomography (CT)

Reduced Reference Quality Assessment for Point Cloud Compression

no code implementations3 Jan 2023 Yipeng Liu, Qi Yang, Yiling Xu

Specifically, we use the attribute and geometry quantization steps of different compression methods (i. e., V-PCC, G-PCC and AVS) to infer the point cloud quality, assuming that the point clouds have no other distortions before compression.

Attribute Point Cloud Quality Assessment +1

Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training

1 code implementation30 Nov 2022 Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman

The proposed pipeline is effective and robust in extracting muscle groups on 2D single slice CT thigh images. The container is available for public use at https://github. com/MASILab/DA_CT_muscle_seg

Anatomy Computed Tomography (CT) +1

GPA-Net:No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network

no code implementations29 Oct 2022 Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu

To extract effective features for PCQA, we propose a new graph convolution kernel, i. e., GPAConv, which attentively captures the perturbation of structure and texture.

Philosophy Point Cloud Quality Assessment

Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation

1 code implementation16 Oct 2022 Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman

We evaluate our proposed approach on multi-organ segmentation with both non-contrast CT (NCCT) datasets and the MICCAI 2015 BTCV Challenge contrast-enhance CT (CECT) datasets.

Computed Tomography (CT) Contrastive Learning +1

TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment

1 code implementation10 Oct 2022 Yujie Zhang, Qi Yang, Yifei Zhou, Xiaozhong Xu, Le Yang, Yiling Xu

The goal of objective point cloud quality assessment (PCQA) research is to develop quantitative metrics that measure point cloud quality in a perceptually consistent manner.

Point Cloud Quality Assessment

Point Cloud Quality Assessment using 3D Saliency Maps

no code implementations30 Sep 2022 Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Jun Sun, Shan Liu

Considering the importance of saliency detection in quality assessment, we propose an effective full-reference PCQA metric which makes the first attempt to utilize the saliency information to facilitate quality prediction, called point cloud quality assessment using 3D saliency maps (PQSM).

Point Cloud Quality Assessment Saliency Detection

UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation

1 code implementation28 Sep 2022 Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang

Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional representation learning capabilities in computer vision and medical image analysis.

Brain Segmentation Image Segmentation +3

Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models

1 code implementation28 Sep 2022 Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, LeonY. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman

External experiments on 20 subjects from the Baltimore Longitudinal Study of Aging (BLSA) dataset that contains longitudinal single abdominal slices validate that our method can harmonize the slice positional variance in terms of muscle and visceral fat area.

Computed Tomography (CT)

Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation

no code implementations28 Sep 2022 Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman

Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships.

Computed Tomography (CT) Segmentation

Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling

no code implementations31 Aug 2022 Wei Zhou, Qi Yang, Qiuping Jiang, Guangtao Zhai, Weisi Lin

Objective quality assessment of 3D point clouds is essential for the development of immersive multimedia systems in real-world applications.

Personality-Driven Social Multimedia Content Recommendation

no code implementations25 Jul 2022 Qi Yang, Sergey Nikolenko, Alfred Huang, Aleksandr Farseev

In order to run organic and paid social media marketing efficiently, it is necessary to understand the audience, tailoring the content to fit their interests and online behaviours, which is impossible to do manually at a large scale.

Marketing Recommendation Systems

Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation

no code implementations12 May 2022 Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, J. Jeffrey Carr, Yuankai Huo, Bennett A. Landman

In this paper, we propose a novel unsupervised approach that leverages pairwise contrast-enhanced CT (CECT) context to compute non-contrast segmentation without ground-truth label.

Organ Segmentation Pseudo Label +1

Characterizing Renal Structures with 3D Block Aggregate Transformers

no code implementations4 Mar 2022 Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman

Efficiently quantifying renal structures can provide distinct spatial context and facilitate biomarker discovery for kidney morphology.

No-Reference Point Cloud Quality Assessment via Domain Adaptation

1 code implementation CVPR 2022 Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun

We present a novel no-reference quality assessment metric, the image transferred point cloud quality assessment (IT-PCQA), for 3D point clouds.

Domain Adaptation Point Cloud Quality Assessment

Sampling Before Training: Rethinking the Effect of Edges in the Process of Training Graph Neural Networks

no code implementations29 Sep 2021 Hengyuan Ma, Qi Yang, Bowen Sun, Long Shun, Junkui Li, Jianfeng Feng

Graph neural networks (GNN) demonstrate excellent performance on many graph-based tasks; however, they also impose a heavy computational burden when trained on a large-scale graph.

Active Reinforcement Learning over MDPs

no code implementations5 Aug 2021 Qi Yang, Peng Yang, Ke Tang

This paper proposes a framework of Active Reinforcement Learning (ARL) over MDPs to improve generalization efficiency in a limited resource by instance selection.

reinforcement-learning Reinforcement Learning (RL)

Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling

no code implementations20 Jun 2021 Qi Yang, Aleksandr Farseev, Andrey Filchenkov

We have also found that the selection of a machine learning approach is of crucial importance when choosing social network data sources and that people tend to reveal multiple facets of their personality in different social media avenues.

Decision Making

Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation

no code implementations3 Jun 2021 Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Leon Y. Cai, Lucas W. Remedios, Bennett A. Landman, Yuankai Huo

Medical image segmentation, or computing voxelwise semantic masks, is a fundamental yet challenging task to compute a voxel-level semantic mask.

Contrastive Learning Decoder +5

MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy

1 code implementation4 Mar 2021 Qi Yang, Yujie Zhang, Siheng Chen, Yiling Xu, Jun Sun, Zhan Ma

In this paper, we propose a new distortion quantification method for point clouds, the multiscale potential energy discrepancy (MPED).

Point cloud reconstruction

SoMin.ai: Personality-Driven Content Generation Platform

no code implementations30 Nov 2020 Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo

Guided by the MBTI personality type, automatically derived from a user social network content, SoMin. ai generates new social media content based on the preferences of other users with a similar personality type aiming at enhancing the user experience on social networking venues as well diversifying the efforts of marketers when crafting new content for digital marketing campaigns.

Marketing

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

1 code implementation23 Nov 2020 Xuhong Wang, Ding Lyu, Mengjian Li, Yang Xia, Qi Yang, Xinwen Wang, Xinguang Wang, Ping Cui, Yupu Yang, Bowen Sun, Zhenyu Guo

Limited by the time complexity of querying k-hop neighbors in a graph database, most graph algorithms cannot be deployed online and execute millisecond-level inference.

Fraud Detection Graph Embedding

Inferring Point Cloud Quality via Graph Similarity

1 code implementation31 May 2020 Qi Yang, Zhan Ma, Yiling Xu, Zhu Li, Jun Sun

We propose the GraphSIM -- an objective metric to accurately predict the subjective quality of point cloud with superimposed geometry and color impairments.

Graph Similarity

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance

no code implementations5 Feb 2020 Qi Yang, Aleksandr Farseev, Andrey Filchenkov

Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks.

BIG-bench Machine Learning

Parallel Exploration via Negatively Correlated Search

no code implementations16 Oct 2019 Peng Yang, Qi Yang, Ke Tang, Xin Yao

Empirical results show that the significant advantages of NCS over the compared state-of-the-art methods can be highly owed to the effective parallel exploration ability.

Atari Games Diversity +2

A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection

no code implementations25 Feb 2018 Kun Hu, Zhe Li, Ying Liu, Luyin Cheng, Qi Yang, Yan Li

In the first prediction part, we focus on predicting the downward trend, which is an earlier stage of the customer lifecycle compared to churn.

Causal Inference Management +1

Single image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction

no code implementations18 Mar 2017 Qi Yang, Yanzhu Zhang, Tiebiao Zhao, YangQuan Chen

Image super-resolution using self-optimizing mask via fractional-order gradient interpolation and reconstruction aims to recover detailed information from low-resolution images and reconstruct them into high-resolution images.

Image Super-Resolution

Fractional Calculus In Image Processing: A Review

no code implementations10 Aug 2016 Qi Yang, Dali Chen, Tiebiao Zhao, YangQuan Chen

Over the last decade, it has been demonstrated that many systems in science and engineering can be modeled more accurately by fractional-order than integer-order derivatives, and many methods are developed to solve the problem of fractional systems.

Edge Detection Image Compression +6

Practical Algorithms for Learning Near-Isometric Linear Embeddings

no code implementations1 Jan 2016 Jerry Luo, Kayla Shapiro, Hao-Jun Michael Shi, Qi Yang, Kan Zhu

Motivated by non-negative matrix factorization, we reformulate our problem into a Frobenius norm minimization problem, which is solved by the Alternating Direction Method of Multipliers (ADMM) and develop an algorithm, FroMax.

Dimensionality Reduction

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