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D-Index & Metrics

Computer Science

D-Index
50
Citations
11047
World Ranking
5582
National Ranking
337

Overview

Yi-Zhe Song is affiliated with the University of Surrey in the United Kingdom and has an extensive publication record primarily in the field of computer science. The scientist's research concentrates on computer vision and pattern recognition, with significant contributions also in artificial intelligence, computational mechanics, computer graphics and computer-aided design, and control and systems engineering.

The research outputs include numerous papers published in reputed venues. Some recent notable papers are:

  • "The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification", 2020, IEEE Transactions on Image Processing
  • "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Style-Based Global Appearance Flow for Virtual Try-On", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Yi-Zhe Song has collaborated frequently with several co-authors, including Tao Xiang, Aneeshan Sain, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, and Zhanyu Ma. The collaboration count with these co-authors ranges from 26 to 87 joint publications.

The scientist's publication venues reflect active involvement in both conference and journal research communities. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The thematic focus of Yi-Zhe Song's work centers around several main topics, including:

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

This profile highlights Yi-Zhe Song's role as a researcher with a diverse portfolio extending across multiple aspects of computer vision and machine learning, marked by a consistent output in both pioneering conferences and high-impact journals.

Best Publications

  • Learning to Generalize: Meta-Learning for Domain Generalization

    Da Li;Yongxin Yang;Yi-Zhe Song;Timothy M. Hospedales

  • Deeper, Broader and Artier Domain Generalization

    Da Li;Yongxin Yang;Yi-Zhe Song;Timothy M. Hospedales

  • Sketch Me That Shoe

    Qian Yu;Feng Liu;Yi-Zhe Song;Tao Xiang

  • Episodic Training for Domain Generalization

    Da Li;Jianshu Zhang;Yongxin Yang;Cong Liu

  • The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

    Dongliang Chang;Yifeng Ding;Jiyang Xie;Ayan Kumar Bhunia

  • Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches

    Ruoyi Du;Dongliang Chang;Ayan Kumar Bhunia;Jiyang Xie

  • Sketch-a-Net: A Deep Neural Network that Beats Humans

    Qian Yu;Yongxin Yang;Feng Liu;Yi-Zhe Song

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval

    Jifei Song;Qian Yu;Yi-Zhe Song;Tao Xiang

  • Generalizable Person Re-Identification by Domain-Invariant Mapping Network

    Jifei Song;Yongxin Yang;Yi-Zhe Song;Tao Xiang

  • Sketch-based image retrieval via Siamese convolutional neural network

    Yonggang Qi;Yi-Zhe Song;Honggang Zhang;Jun Liu

  • Sketch-a-Net that Beats Humans

    Qian Yu;Yongxin Yang;Yi-Zhe Song;Tao Xiang

  • Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer

    Zhihe Lu;Sen He;Xiatian Zhu;Li Zhang

  • Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval

    Sounak Dey;Pau Riba;Anjan Dutta;Josep Llados Llados

  • Text extraction from natural scene image: A survey

    Honggang Zhang;Kaili Zhao;Yi-Zhe Song;Jun Guo

  • Stochastic Classifiers for Unsupervised Domain Adaptation

    Zhihe Lu;Yongxin Yang;Xiatian Zhu;Cong Liu

  • A survey on heterogeneous face recognition

    Shuxin Ouyang;Timothy Hospedales;Yi-Zhe Song;Xueming Li

  • SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval

    Peng Xu;Yongye Huang;Tongtong Yuan;Kaiyue Pang

  • Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval

    Ayan Kumar Bhunia;Yongxin Yang;Timothy M. Hospedales;Tao Xiang

  • Your “Flamingo” is My “Bird”: Fine-Grained, or Not

    Dongliang Chang;Kaiyue Pang;Yixiao Zheng;Zhanyu Ma

  • Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling

    Zhanyu Ma;Yuping Lai;W. Bastiaan Kleijn;Yi-Zhe Song

  • Free-hand sketch recognition by multi-kernel feature learning

    Yi Li;Timothy M. Hospedales;Yi-Zhe Song;Shaogang Gong

Frequent Co-Authors

Timothy M. Hospedales
Timothy M. Hospedales University of Edinburgh
Yongxin Yang
Yongxin Yang Queen Mary University of London
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Liang Wang
Liang Wang Chinese Academy of Sciences
Shaogang Gong
Shaogang Gong Queen Mary University of London
Bodo Rosenhahn
Bodo Rosenhahn University of Hannover
Xiatian Zhu
Xiatian Zhu University of Surrey
Paul L. Rosin
Paul L. Rosin Cardiff University
Christopher R. Bowen
Christopher R. Bowen University of Bath

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