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Xiangyang Xue

Xiangyang Xue

D-Index & Metrics

Computer Science

D-Index
65
Citations
18480
World Ranking
2440
National Ranking
330

Overview

Xiangyang Xue is affiliated with Fudan University in China and specializes in computer science with an emphasis on computer vision and pattern recognition. Their research spans a variety of subfields including artificial intelligence, computational mechanics, aerospace engineering, and radiology, nuclear medicine and imaging.

The main topics covered in their work include:

  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning

Some of the frequent co-authors who collaborated with Xiangyang Xue are:

  • Yanwei Fu
  • Xuelin Qian
  • Bin Li
  • Jian Pu
  • Yinda Zhang

The scientist has published extensively in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Intelligent Vehicles
  • Machine Learning

Recent publications by Xiangyang Xue feature a range of topics primarily in visualization, deep learning, and 3D model generation. Notable papers include:

  • "Metaverse: Perspectives from graphics, interactions and visualization," 2022, Visual Informatics
  • "Deep learning for detecting corona virus disease 2019 (COVID-19) on high-resolution computed tomography: a pilot study," 2020, Annals of Translational Medicine
  • "Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging," 2020, IEEE Journal of Biomedical and Health Informatics

Best Publications

  • Arbitrary-Oriented Scene Text Detection via Rotation Proposals

    Jianqi Ma;Weiyuan Shao;Hao Ye;Li Wang

  • DSOD: Learning Deeply Supervised Object Detectors from Scratch

    Zhiqiang Shen;Zhuang Liu;Jianguo Li;Yu-Gang Jiang

  • Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach

    Xingyi Zhou;Qixing Huang;Xiao Sun;Xiangyang Xue

  • ExFuse: Enhancing Feature Fusion for Semantic Segmentation

    Zhenli Zhang;Xiangyu Zhang;Chao Peng;Xiangyang Xue

  • BERT-ATTACK: Adversarial Attack Against BERT Using BERT

    Linyang Li;Ruotian Ma;Qipeng Guo;Xiangyang Xue

  • Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification

    Zuxuan Wu;Xi Wang;Yu-Gang Jiang;Hao Ye

  • Pose-Normalized Image Generation for Person Re-identification

    Xuelin Qian;Yanwei Fu;Tao Xiang;Wenxuan Wang

  • Can movies and books collaborate?: cross-domain collaborative filtering for sparsity reduction

    Bin Li;Qiang Yang;Xiangyang Xue

  • Multi-Level Semantic Feature Augmentation for One-Shot Learning

    Zitian Chen;Yanwei Fu;Yinda Zhang;Yu-Gang Jiang

  • Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks

    Yu-Gang Jiang;Zuxuan Wu;Jun Wang;Xiangyang Xue

  • Transfer learning for collaborative filtering via a rating-matrix generative model

    Bin Li;Qiang Yang;Xiangyang Xue

  • Multi-scale Deep Learning Architectures for Person Re-identification

    Xuelin Qian;Yanwei Fu;Yu-Gang Jiang;Tao Xiang

  • Trajectory-Based modeling of human actions with motion reference points

    Yu-Gang Jiang;Qi Dai;Xiangyang Xue;Wei Liu

  • Multiple Granularity Descriptors for Fine-Grained Categorization

    Dequan Wang;Zhiqiang Shen;Jie Shao;Wei Zhang

  • Star-Transformer

    Qipeng Guo;Xipeng Qiu;Pengfei Liu;Yunfan Shao

  • Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification

    Zuxuan Wu;Yu-Gang Jiang;Xi Wang;Hao Ye

  • Localized audio watermarking technique robust against time-scale modification

    Wei Li;Xiangyang Xue;Peizhong Lu

  • Model-based deep hand pose estimation

    Xingyi Zhou;Qingfu Wan;Wei Zhang;Xiangyang Xue

  • Recent Advances in Zero-Shot Recognition: Toward Data-Efficient Understanding of Visual Content

    Yanwei Fu;Tao Xiang;Yu-Gang Jiang;Xiangyang Xue

  • Addressing cold start in recommender systems: a semi-supervised co-training algorithm

    Mi Zhang;Jie Tang;Xuchen Zhang;Xiangyang Xue

Frequent Co-Authors

Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Yanwei Fu
Yanwei Fu Fudan University
Jianping Fan
Jianping Fan University of North Carolina at Charlotte
Yap-Peng Tan
Yap-Peng Tan Nanyang Technological University
Zuxuan Wu
Zuxuan Wu Fudan University
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Xipeng Qiu
Xipeng Qiu Fudan University
Juyang Weng
Juyang Weng Michigan State University
Yinda Zhang
Yinda Zhang Google (United States)
Zheng Zhang
Zheng Zhang New York University Shanghai

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