Professor Yi-Zhe Song


Professor of Computer Vision and Machine Learning; Programme Lead of MSc in Artificial Intelligence
Bsc (Bath), Msc (Cantab), PhD (Bath), FHEA, SMIEEE
+44 (0)1483 684823
27 BA 00

Biography

My publications

Highlights

For full publication list please refer to Google Scholar, and CSRankings.

2021

  • Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, SketchAA: Abstract Representation for Abstract Sketches, ICCV’21
  • Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song, SketchLattice: Latticed Representation for Sketch Manipulation, ICCV’21
  • Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song, Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation, ICCV’21
  • Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song, Towards the Unseen: Iterative Text Recognition by Distilling from Errors, ICCV’21
  • Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song, Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition, ICCV’21
  • Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang, Disentangled Lifespan Face Synthesis, ICCV’21
  • Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang, Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer, ICCV’21
  • Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo, Your “Flamingo” is My “Bird”: Fine-Grained, or Not, CVPR 2021 Oral
  • Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting, CVPR 2021
  • Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Cloud2Curve: Generation and Vectorization of Parametric Sketches, CVPR 2021
  • Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song, StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval, CVPR 2021
  • Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song, PQA: Perceptual Question Answering, CVPR 2021
  • Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang, Context-Aware Layout to Image Generation with Enhanced Object Appearance, CVPR 2021
  • Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song, More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch-Based Image Retrieval, CVPR 2021
  • Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song, MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition, CVPR 2021

2020

  • Ling Luo, Yulia Gryaditskaya, Yongxin Yang, Tao Xiang, Yi-Zhe Song, Towards 3D VR-Sketch to 3D Shape Retrieval, 3DV 2020 (Oral)
  • Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song, Deep Sketch-Based Modelling: Tips and Tricks, 3DV 2020
  • Guoyao Su, Yonggang Qi, Kaiyue Pang , Jie Yang, Yi-Zhe Song, SketchHealer: A Graph-to-Sequence Network for Recreating Partial Human Sketches, BMVC 2020 (Oral)
  • Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song, Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval, BMVC 2020 (Oral).
  • Ayan Kumar Bhunia*, Ayan Das*, Umar Riaz Muhammad*, Yongxin Yang, Timothy M. Hospedalis, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song . Pixelor: A Competitive Sketching AI Agent. So you think you can beat me? SIGGRAPH Asia 2020.
  • Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, BézierSketch: A generative model for scalable vector sketches, ECCV 2020
  • Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Si Wei, Lirong Dai, A Tree-Structured Decoder for Image-to-Markup Generation, ICML 2020
  • Kaiyue Pang, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Solving Mixed-modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval, CVPR 2020
  • Ayan Kumar Bhunia, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval, CVPR 2020 (Oral)
  • Z. Lu, Y. Yang, X. Zhu, C. Liu, Y. Song and T. Xiang, "Stochastic Classifiers for Unsupervised Domain Adaptation", CVPR 2020
  • Yu, Qian, Song, Jifei, Song, Yi-Zhe, Xiang, Tao and Hospedales, Timothy M. (2020) Fine-Grained Instance-Level Sketch-Based Image Retrieval, International Journal of Computer Vision.
  • Dongliang Chang, Yifeng Ding, Jiyang Xie, Ayan Kumar Bhunia, Xiaoxu Li, Zhanyu Ma, Ming Wu, Jun Guo, Yi-Zhe Song, The Devil is in the Channels: Mutual-Channel Loss for Fine-grained Image Classification, IEEE Transactions on Image Processing
  • Conghui Hu, Da Li, Yongxin Yang, Timothy M. Hospedales, Yi-Zhe Song, Sketch-a-Segmenter: Sketch-Based Photo Segmenter Generation. IEEE Transactions on Image Processing
  • Yue Zhong, Yonggang Qi, Yulia Gryaditskaya, Honggang Zhang and Yi-Zhe Song,Towards Practical Sketch-based 3D ShapeGeneration: The Role of Professional Sketches IEEE Transactions on Circuits and Systems for Video Technology.
  • Yu, Deng, Li, Lei, Zheng, Youyi, Lau, Manfred, Song, Yi-Zhe, Tai, Chiew-Lan and Fu, Hongbo (2020) SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence IEEE Transactions on Circuits and Systems for Video Technology.
  • Xu, Peng, Liu, Kun, Xiang, Tao, Hospedales, Timothy M., Ma, Zhanyu, Guo, Jun and Song, Yi-Zhe (2020) Fine-Grained Instance-Level Sketch-Based Video Retrieval IEEE Transactions on Circuits and Systems for Video Technology.
  • Xu, Peng, Song, Zeyu, Yin, Qiyue, Song, Yi-Zhe and Wang, Liang (2020) Deep Self-Supervised Representation Learning for Free-Hand Sketch IEEE Transactions on Circuits and Systems for Video Technology.
  • Jianjun Lei, Yuxin Song, Bo Peng, Zhanyu Ma, Ling Shao, Yi-Zhe Song, Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval, IEEE Transactions on Circuits and Systems for Video Technology
  • Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song and Liang Wang, On Learning Semantic Representations for Large-Scale Abstract Sketches, IEEE Transactions on Circuits and Systems for Video Technology
  • Jianshu Zhang, Jun Du, Yongxin Yang, Yi-Zhe Song, Lirong Dai, SRD: A Tree Structure Based Decoder for Online Handwritten Mathematical Expression Recognition, IEEE Transactions on Multimedia

2019

  • Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy Hospedales, Episodic Training for Domain Generalization, International Conference on Computer Vision (ICCV 2019, Oral)
  • Umar Riaz Muhammad, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song, Goal-Driven Sequential Data Abstraction, International Conference on Computer Vision (ICCV 2019)
  • Kaiyue Pang, Ke Li, Yongxin Yang, Timothy  Hospedales, Tao Xiang, Yi-Zhe Song, Generalising Fine-Grained Sketch-Based Image Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 
  • Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao  Xiang, Timothy  Hospedales, Generalizable Person Re-identification by Domain-Invariant Mapping Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)
  • Sounak Dey, Pau Riba, Anjan Dutta, Josep Llados, Yi-Zhe Song, Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019, Oral)
  • K. Li, K. Pang, Y. Song, T. Xiang, T. M. Hospedales, H. Zhang, Towards A Deep Universal Sketch Perceptual Grouper, IEEE Transactions on Image Processing IEEE Transactions on Image Processing
  • Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo, Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling, IEEE Transactions on Neural Networks Learning Systems
  • Yonggang Qi, Yi-Zhe Song, Sketch Fewer to Recognize More by Learning A Co-regularized Sparse Representation, IEEE Transactions on Circuits and Systems for Video Technology

2018

2017

2016

2015

2014

2013