Welcome

Fayao Liu

Email: liu_fayao{AT}i2r.a-star.edu.sg

Google scholar page: [link]

I am looking for motivated PhD students/interns to work on self-supervised learning, point cloud recognition, 3D generative models etc. Scholarships are available [link]. We also have open positions for post-doctoral researchers.

Drop me an email if you are interested.

Bio

I am now working as a research scientist at Institute for Infocomm Research (I2R), Agency for Science, Technology & Research (A*STAR), Singapore.

I obtained my PhD degree from School of Computer Science, University of Adelaide, in Dec 2015, under the supervision of Prof. Chunhua Shen.

Research Interests

Machine Learning: Representation learning, Few-shot learning, Unsupervised learning, Deep generative models, etc.

Applications: Computer vision, Medical image analysis, etc.

Academic Service

I am serving as reviewers for top-tier conferences and journals including CVPR, ICCV, TPAMI, TNNLS, TIP, etc.

Selected Publications

For a full publication list, please refer to my Google scholar page: [link]

  • F. Liu, C. Shen, G. Lin, I. Reid. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015. [pdf]. [code].

  • F. Liu, C. Shen, G. Lin. Deep Convolutional Neural Fields for Depth Estimation from a Single Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. [pdf].

  • F. Liu, G. Lin, C. Shen. CRF Learning with CNN Features for Image Segmentation. Pattern Recognition (PR), 2015. [pdf].

  • F. Liu, L. Zhou, C. Shen, J. Yin. Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification. IEEE Journal of Biomedical and Health Informatics, 2014. [pdf].

  • F. Liu, C. Shen, I. Reid, A. Hengel. Online Unsupervised Feature Learning for Visual Tracking. Image and Vision Computing (IVC), 2016. [pdf].

  • G. Lin, F. Liu, C. Shen, J. Wu, H. Shen. Structured Learning of Binary Codes with Column Generation. International Journal of Computer Vision (IJCV), 2016. [pdf].

  • C. Shen, J. Kim, F. Liu, L. Wang, A. Hengel. Efficient Dual Approach to Distance Metric Learning. IEEE Transactions on Neural Network and Learning System (TNNLS), 2014. [pdf].

  • F. Liu, R. Qiao, C. Shen, L. Luo. Designing ensemble learning algorithms using kernel methods. International Journal of Machine Intelligence and Sensory Signal Processing, 2017. [pdf].

  • F. Liu, G. Lin, C. Shen. Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss. IEEE Transactions on Image Processing (TIP), 2017. [pdf].

  • F. Liu, G. Lin, R. Qiao, C. Shen. Structured learning of tree potentials in CRF for image segmentation. IEEE Transactions on Neural Network and Learning System (TNNLS), 2018. [pdf]

  • G. Lin, F. Liu*, A. Milan, C. Shen, I. Reid. RefineNet: Multi-Path Refinement Networks for Dense Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (* indicates corresponding author)

  • C. Zhang, G. Lin, F. Liu, R. Yao, C. Shen. CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. [pdf]

  • Z. Liu, G. Lin, S. Yang, F. Liu, W. Lin, W. Goh. Towards Robust Curve Text Detection with Conditional Spatial Expansion. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019. [pdf]

  • C. Zhang, G. Lin, F. Liu, J. Guo, Q. Wu, R. Yao. Pyramid Graph Networks with Connection Attentions for Region-Based One-Shot Semantic Segmentation. International Conference on Computer Vision (ICCV), 2019. [pdf]

  • H. Luo, G. Lin, Zichuan Liu, F. Liu, Z. Tang, Y. Yao. SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering. International Conference on Computer Vision (ICCV), 2019. [pdf]

  • F. He, F. Liu*, R. Yao, G. Lin. Local Fusion Networks with Chained Residual Pooling for Video Action Recognition. Image and Vision Computing (IVC), 2019. (* indicates corresponding author)

  • W. Liu, C. Zhang, G. Lin, F. Liu. CRNet: Cross-Reference Networks for Few-Shot Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.