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D-Index & Metrics

Computer Science

D-Index
57
Citations
16841
World Ranking
3770
National Ranking
501

Overview

Yanwei Fu is affiliated with Fudan University in China and has contributed extensively to the field of computer science, with a primary focus on computer vision and related areas. Their body of work spans various subfields including computer vision and pattern recognition, artificial intelligence, computational mechanics, radiology, nuclear medicine and imaging, and computer graphics and computer-aided design.

Their research encompasses a range of topics, featuring prominently in areas such as:

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

Yanwei Fu has published in several notable venues, reflecting the breadth of their research output. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing

A selection of recent papers reflects the diversity of research topics and collaboration:

  • "Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers," 2020, arXiv (Cornell University)
  • "Learning a Few-shot Embedding Model with Contrastive Learning," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "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)

The scientist has worked collaboratively with several frequent co-authors, including:

  • Xiangyang Xue
  • Xuelin Qian
  • Chenjie Cao
  • Chengming Xu
  • Yu-Gang Jiang

Best Publications

  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

    Sixiao Zheng;Jiachen Lu;Hengshuang Zhao;Xiatian Zhu

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

    Yang He;Yang He;Guoliang Kang;Xuanyi Dong;Yanwei Fu

  • Transductive Multi-View Zero-Shot Learning

    Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Shaogang Gong

  • Pose-Normalized Image Generation for Person Re-identification

    Xuelin Qian;Yanwei Fu;Tao Xiang;Wenxuan Wang

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

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

  • Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

    Jinlong Peng;Changan Wang;Fangbin Wan;Yang Wu

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

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

  • Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

    Chuming Lin;Chengming Xu;Donghao Luo;Yabiao Wang

  • Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation

    Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Zhenyong Fu

  • Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

    Chao Wen;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • Image Deformation Meta-Networks for One-Shot Learning

    Zitian Chen;Yanwei Fu;Yu-Xiong Wang;Lin Ma

  • Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding

    Unknown

  • Multi-View Video Summarization

    Yanwei Fu;Yanwen Guo;Yanshu Zhu;Feng Liu

  • Instance Credibility Inference for Few-Shot Learning

    Yikai Wang;Chengming Xu;Chen Liu;Li Zhang

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

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

  • Learning Multimodal Latent Attributes

    Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Shaogang Gong

  • Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks

    Yang He;Xuanyi Dong;Guoliang Kang;Yanwei Fu

  • Learning a Few-shot Embedding Model with Contrastive Learning

    Chen Liu;Yanwei Fu;Chengming Xu;Siqian Yang

  • Deep learning for video classification and captioning

    Zuxuan Wu;Ting Yao;Yanwei Fu;Yu-Gang Jiang

  • Attribute learning for understanding unstructured social activity

    Yanwei Fu;Timothy M. Hospedales;Tao Xiang;Shaogang Gong

  • Semi-supervised Vocabulary-Informed Learning

    Yanwei Fu;Leonid Sigal

  • Recent Advances in Zero-shot Recognition

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

Frequent Co-Authors

Xiangyang Xue
Xiangyang Xue Fudan University
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Leonid Sigal
Leonid Sigal University of British Columbia
Shaogang Gong
Shaogang Gong Queen Mary University of London
Yinda Zhang
Yinda Zhang Google (United States)
Timothy M. Hospedales
Timothy M. Hospedales University of Edinburgh
Feiyue Huang
Feiyue Huang Tencent (China)
Yizhou Wang
Yizhou Wang Peking University
Wei Liu
Wei Liu Tencent (China)
Jianfeng Feng
Jianfeng Feng Fudan University

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