September 21, 2019

Publication

Journal Publications/Book Chapters:

  • [1] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, "Reference based Face Super-resolution," in IEEE Access. doi: 10.1109/ACCESS.2019.2934078. 2019. [pdf]
  • [2] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, “Photo-Realistic Image Super-Resolution via Variational Autoencoders”, submitted to IEEE Transaction on Circuits and Systems for Video Technology.
  • [3] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, “Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks”, Revised version submitted to IEEE Transaction on Pattern Analysis and Machine Intelligence.
  • [4] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, “Facial Attributes based Face Super-Resolution via Hybrid model of Deep learning and Random Forests”, Revised version submitted to IEEE Transaction on Image Processing. [code] [pdf]
  • [5] Wan-Chi Siu, Xue-Fei Yang, Li-Wen Wang, Jun-Jie Huang, and Zhi-Song Liu, “Introduction to Random Tree and Random Forests for fast signal processing and object classification”, Learning Approaches in Signal Processing (Editors: W.C. Siu, L.P. Chau, L. Wang and T. Tan), Chapter 2, pp.2-52, Pan Stanford Series on Digital Signal Processing Series, Vol.2, December 2018.
  • [6] Wan-Chi Siu, Zhi-Song Liu, Jun-Jie Huang and Kwok-Wai Hung, “Learning Approaches for Super-Resolution Imaging”, Learning Approaches in Signal Processing (Editors: W.C. Siu, L.P. Chau, L. Wang and T. Tan), Chapter 8, pp.259-328, Pan Stanford Series on Digital Signal Processing Series, Vol.2, December 2018.

Conference Papers:

  • [7] Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li and Wan-Chi Siu, “Image Super-Resolution via Attention based Back Projection Network”, Proceedings, ICCV Workshops (IEEE/CVF Conference on Computer Vision Workshops), Oct. 2019, Seoul, Korea. [code] [pdf]
  • [8] Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li and Wan-Chi Siu, “Hierarchical Back Projection Network for Image Super-Resolution”, Proceedings, CVPR Workshops (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops), pp. 0-0, 16-20 June 2019, Long Beach, CA, USA. [code] [pdf]
  • [9] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, “Joint Back Projection and Residual Networks for Efficient Image Super-Resolution,” Proceedings, pp. 1054-1060, APSIPA Annual Summit and Conference (APSIPA-ASC’2018), Hawaii USA, November 2018. [pdf]
  • [10] Zhi-Song Liu and Wan-Chi Siu, “Cascaded random forests for fast image super-resolution,” Proceedings, pp. 2531-2535, IEEE International Conference on Image Processing (ICIP’2018), Athens, Greece, October 2018. [pdf]
  • [11] Zhi-Song Liu, Wan-Chi Siu and Yui-Lam Chan, “Fast image super-resolution via Randomized Multi-split Forests,” Proceedings, pp.1-4., IEEE International Conference on Symposium on Circuits and Systems (ISCAS’2017), Baltimore, USA, May 2017. [pdf]
  • [12] Zhi-Song Liu, Wan-Chi Siu and Jun-Jie Huang, “Image super-resolution via weighted random forest,” Proceedings, IEEE International Conference on Industrial Technology (ICIT’17), pp.1019-1023, Toronto Canada, March 2017. [pdf]
  • [13] Zhi-Song Liu, Wan-Chi Siu and Jun-Jie Huang, "Image super-resolution via hybrid NEDI and wavelet-based scheme", Proceedings, pp.1131-1136, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA'2015), Hong Kong, December 2015. [pdf]
  • [14] Yu-Zhu Zhang, Wan-Chi Siu, Zhi-Song Liu and Ngai-Fong Law, “Learning via decision trees approach for video super-resolution”, Proceedings, pp.558-562., IEEE International Conference on Computational Science and Computational Intelligence (CSCI’17), Las Vegas, USA. January 2017. [pdf]
  • [15] Jianrui Cai, Shuhang Gu, Radu Timofte, et al., “NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results”, Proceedings, CVPR Workshops (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops), pp. 0-0, 16-20 June 2019, Long Beach, CA, USA [pdf]
  • [16] Shuhang Gu, Martin Danelljan Radu Timofte, et al., “AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results”, Proceedings, ICCV Workshops (IEEE/CVF Conference on Computer Vision Workshops), pp. 0-0, 27 Oct. – 2 Nov. 2019, Seoul, Korean