Publication
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2,783

909 Words
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6 minutes

[Google Scholar] [Github]  [Researchgate] [Linkedin]

Journal Paper & Book Chapter:

  • Qiuliang Ye, Li-Wen Wang, Daniel P.K. Lun, “SiPRNet: End-to-End Learning for Single-Shot Phase Retrieval,” accepted by Optical Express, 2022. [pdf]
  • Li-Wen Wang, Zhi-Song Liu, Wan-Chi Siu and Daniel P.K. Lun, “Lightening Network for Low-light Image Enhancement,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 7984-7996, doi: 10.1109/TIP.2020.3008396, 2020. [pdf] [code] [BibTex]
  • 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, W.-C. Siu, L.-P. Chau, L. Wang and T. Tan, eds., pp. 27-76: Pan Stanford Series on Digital Signal Processing, 2018. [google book]
  • A Sekuboyina, ME Husseini, A Bayat, et al. (Li-Wen Wang), “VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-Detector CT Images,” Medical Image Analysis, vol. 73, p. 102166, ISSN 1361-8415, doi: https://doi.org/10.1016/j.media.2021.102166, 2021. [pdf]

Conference & Workshop Paper:

  • Li-Wen Wang, Wan-Chi Siu, Xue-Fei Yang, Zhi-Song Liu, and Daniel Pak-Kong Lun, “Highly Reliable Vehicle Detection through CNN with Attention Mechanism”, accepted by IEEE International Conference on Consumer Electronics (ICCE), 2022, Las Vegas, USA & Digital. [pdf] [ppt] (video)
  • Li-Wen Wang, Du Li, Wan-Chi Siu, and Daniel Pak-Kong Lun, “Robust Lane Detection through Automatic Trajectory Analysis with Deep Learning and Big Data Environment,” accepted by International Workshop on Advanced Image Technology (IWAIT), 2022, Hong Kong. [abstract] [pdf] [ppt]
  • Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, “Variational AutoEncoder for Reference based Image Super-Resolution,” accepted by the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021. [pdf]
  • Zixun HUANG, Li-Wen Wang, Sunetra Banerjee, DE YANG, Timothy Tin-Yan Lee, Juan Lyu, Frank Hung Fat LEUNG, STEVE LING, and Yongping Zheng, “Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise,” accepted by the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020. [pdf]
  • Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li and Daniel P.K. Lun, “Deep Relighting Networks for Image Light Source Manipulation,” Proceedings,  European Conference on Computer Vision Workshops (ECCVW), pp. 550-567. Springer, Cham, 2020.  (paper with the best PSNR results in the 2020 Relighting Challenge) [pdf] [code] [ppt] [BibTex] (video)
  • Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu, Li-Wen Wang and Daniel P.K. Lun, “DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting,” Proceedings, European Conference on Computer Vision Workshops (ECCVW), Springer, Cham,  pp. 5-22, 2020. [pdf] [code] (video)
  • Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li and Daniel P.K. Lun, “Video Lightening with Dedicated CNN Architecture,” accepted by International Conference on Pattern Recognition (ICPR), 2020. [ppt] (video)
  • Li-Wen Wang, Zhi-Song Liu, Wan-Chi Siu and Daniel P.K. Lun, “Deep Lightening Network for Low-light Image Enhancement,” Proceedings, IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, doi: 10.1109/ISCAS45731.2020.9180751.2020, Sevilla. [pdf]
  • Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, and Yui-Lam Chan, “Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder,” Proceedings, the IEEE Conference on Computer Vision Workshops, pp. 1788-1797, doi: 10.1109/CVPRW50498.2020.00229, 2020, Seattle, WA, USA. [pdf] [code]
  • Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, and Wan-Chi Siu, “Image Super-Resolution via Attention based Back Projection Network,” Proceedings, the IEEE Conference on Computer Vision Workshops (ICCVW), pp. 3517-3525, doi: 10.1109/ICCVW.2019.00436, 2019, Seoul, Korea. [pdf] [code]
  • Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, and Wan-Chi Siu, “Hierarchical Back Projection Network for Image Super-Resolution,” Proceedings, the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 2041-2050, doi: 10.1109/CVPRW.2019.00256, 2019, California, United States. [pdf] [code]
  • Li-Wen Wang, Xue-Fei Yang and Wan-Chi Siu, “Learning Approach with Random Forests on Vehicle Detection,” Proceedings, the IEEE International Conference on Digital Signal Processing (DSP), pp. 1-5, doi: 10.1109/ICDSP.2018.8631871, 2018, Shanghai. [pdf] [ppt] [revised ppt]
  • Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, et al. (Li-Wen Wang), “AIM 2020 Challenge on Image Extreme Inpainting,” accepted by the European Conference on Computer Vision Workshops (ECCVW), 2020. [pdf]
  • Pengxu Wei, Hannan Lu, Radu Timofte, et al. (Li-Wen Wang), “AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results,” accepted by the European Conference on Computer Vision Workshops (ECCVW), 2020. [pdf]
  • Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, et al. (Li-Wen Wang), “AIM 2020: Scene Relighting and Illumination Estimation Challenge,” accepted by the European Conference on Computer Vision Workshops (ECCVW), 2020. [pdf]
  • Jianrui Cai, Shuhang Gu, Radu Timofte, et al. (Li-Wen Wang), “NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results,” Proceedings, the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 2211-2223, doi: 10.1109/CVPRW.2019.00274, 2019, Long Beach, CA, USA. [pdf]
  • Shuhang Gu, Martin Danelljan Radu Timofte, et al. (Li-Wen Wang) , “AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results,” Proceedings, the IEEE Conference on Computer Vision Workshops (ICCVW), pp. 3556-3564, doi: 10.1109/ICCVW.2019.00440, 2019, Seoul, Korea (South). [pdf]