Search Results for author: Qi Yang

Found 35 papers, 12 papers with code

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.

Point Cloud Quality Assessment Quantization

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

Evaluating Point Cloud Quality via Transformational Complexity

no code implementations10 Oct 2022 Yujie Zhang, Qi Yang, Yifei Zhou, Xiaozhong Xu, Le Yang, Yiling Xu

Full-reference point cloud quality assessment (FR-PCQA) aims to infer the quality of distorted point clouds with available references.

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 +2

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)

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

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

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 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.


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 reinforcement-learning +1

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

Cannot find the paper you are looking for? You can Submit a new open access paper.