1. C.-H. Yeh, H.-F. Yang, Y.-Y. Lin, W.-J. Huang, F.-H. Tsai, and L.-W. Kang, "Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement," Engineering Applications of Artificial Intelligence, Volume 131, May 2024.
  2. C.-H. Yeh, Z.-X. Zhan, and L.-W. Kang, "Two-stage deep image restoration network with application to single image shadow removal," Applied Soft Computing, Volume 167, Part A, December 2024, 112315.
  3. C.-H. Yeh, H.-F. Yang, M.-J. Chen, and L.-W. Kang, "Image Inpainting based on GAN-driven Structure-and Texture-aware Learning with Application to Object Removal," Applied Soft Computing, Volume 161, August 2024.
  4. C.-C. Hsu, L.-W. Kang, S.-Y. Chen, I.-S. Wang, C.-H. Hong, and C.-Y. Chang, "Deep Learning-based Vehicle Trajectory Prediction based on Generative Adversarial Network for Autonomous Driving Applications," Multimedia Tools and Applications, Volume 82, pages 10763–10780, 2023.
  5. Z.-Y. Deng, H.-H. Chiang, L.-W. Kang, and H.-C. Li, "A lightweight deep learning model for real-time face recognition," IET Image Processing, vol. 17, no. 13, pp. 3869–3883, Nov. 2023.
  6. C.-H. Yeh, C.-H. Lin, L.-W. Kang, C.-H. Huang, M.-H. Lin, C.-Y. Chang, and C.-C. Wang, "Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion," vol. 33, no. 11, pp. 6129-6143, Nov. 2022.
  7. C.-H. Yeh, C.-H. Lin, M.-H. Lin, L.-W. Kang, C.-H. Huang, and M.-J. Chen, “Deep learning-based compressed image artifacts reduction based on multi-scale image fusion,” Information Fusion (in press).
  8. C.-Y. Lin, Z. Tao, A.-S. Xu, L.-W. Kang, and F. Akhyar, “Sequential dual attention network for rain streak removal in a single image,” IEEE Trans. Image Process., vol. 29, pp. 9250-9265, 2020.
  9. C.-H. Yeh, C.-H. Huang, and L.-W. Kang, “Multi-scale deep residual learning-based single image haze removal via image decomposition,” IEEE Trans. Image Process., vol. 29, pp. 3153-3167, 2020.
  10. C.-H. Yeh, M.-H. Lin, P.-C. Chang, and L.-W. Kang, “Enhanced visual attention-guided deep neural networks for image classification,” IEEE Access, vol. 8, pp. 163447–163457, Sep. 2020.
  11. C.-Y. Lin, Li-Wei Kang, T.-Y. Huang, and M.-K. Chang, "A novel non-negative matrix factorization technique for decomposition of Chinese characters with application to secret sharing," EURASIP Journal on Advances in Signal Processing, Aug. 2019.
  12. C.-H. Yeh, W.-Y. Tseng, L.-W. Kang, C.-W. Lee, K. Muchtar, and M.-J. Chen, “Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability,” Journal of Visual Communication and Image Representation, vol. 55, pp. 342–351, Aug. 2018.
  13. L.-W. Kang, C.-Y. Tseng, C.-L. Jheng, M.-F. Weng, and C.-Y. Hsu, “Cluster-based saliency-guided content-aware image retargeting,” Journal of Electronic Science and Technology, vol. 15, no. 2, June 2017.
  14. C.-C. Hsu, L.-W. Kang, and C.-W. Lin, “Temporally coherent superresolution of textured video via dynamic texture synthesis,” IEEE Trans. on Image Processing, vol. 24, no. 3, pp. 919–931, March 2015.
  15. L.-W. Kang, C.-C. Hsu, B. Zhuang, C.-W. Lin, and C.-H. Yeh, “Learning-based joint super-resolution and deblocking for a highly compressed image,” IEEE Trans. on Multimedia, vol. 17, no. 7, pp. 921-934, July 2015.
  16. D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin, “Self-learning based image decomposition with applications to single image denoising,” IEEE Trans. on Multimedia, vol. 16, no. 1, pp. 83–93, Jan. 2014.
  17. C.-H. Yeh, C.-Y. Lin, K. Muchtar, and L.-W. Kang, “Real-time background modeling based on a multi-level texture description,” Information Sciences, vol. 269, pp. 106–127, June 2014.
  18. C.-H. Yeh, L.-W. Kang, Y.-W. Chiou, C.-W. Lin, and S.-J. Fan Jiang, “Self-learning-based post-processing for image/video deblocking via sparse representation,” Journal of Visual Communication and Image Representation, vol. 25, no. 5, pp. 891–903, July 2014.
  19. D.-Y. Chen, C.-C. Chen, and L.-W. Kang, “Visual depth guided color image rain streaks removal using sparse coding,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 24, no. 8, pp. 1430–1455, Aug. 2014.

  1. C.-H. Yeh, D. Chiu, L.-W. Kang, C.-C. Hsu, and C. Lo, "Generative Adversarial Networks-based Face Hallucination with Identity-Preserving," Proc. IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2021.
  2. G.-X. Zeng, Y.-H. Hou, P.-C. Su, and L.-W. Kang, "Scene Text-Line Extraction with Fully Convolutional Network and Refined Proposals," Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020.Proc.
  3. L.-W. Kang, C.-C. Hsu, I.-S. Wang, T.-L. Liu, S.-Y. Chen, and C.-Y. Chang, "Vehicle trajectory prediction based on social generative adversarial network for self-driving car applications," Proc. International Symposium on Computer, Consumer and Control (IS3C), 2020.
  4. L.-W. Kang, C. Lo, and C.-H. Yeh, "Deep Learning-based Moiré Pattern Removal from a Single Image: A Survey and Comparative Study," Proc. IEEE International Conference on Consumer Electronics-Taiwan, Sept. 2020.
  5. C.-C. Hsu, L.-W. Kang, C.-Y. Lee, J.-Y. Lee, Z.-X. Zhang, and S.-M. Wu, "Popularity prediction of social media based on multi-modal feature mining," Proc. ACM Multimedia, 2019.
  6. L.-W. Kang, I.-S. Wang, K.-L. Chou, S.-Y. Chen, and C.-Y. Chang, "Image-based real-time fire detection using deep learning with data augmentation for vision-based surveillance applications," Proc. IEEE International Conference on Advanced Video and Signal Based Surveillance, Sept. 2019.
  7. M.-H. Lin, C.-H. Yeh, C.-H. Lin, C.-H. Huang, and L.-W. Kang, "Deep multi-scale residual learning-based blocking artifacts reduction for compressed images," Proc. IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019.
  8. C.-H. Yeh, C.-H. Huang, L.-W. Kang, and M.-H. Lin, "Single image dehazing via deep learning-based image restoration," Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Nov. 2018.
  9. C.-Y. Hsu, L.-W. Kang, H.-Y. Lin, R.-H. Fu, C.-Y. Lin, M.-F. Weng, and D.-Y. Chen, "Depth-based feature extraction-guided automatic identification tracking of steel products for smart manufacturing in steel 4.0," Proc. IEEE International Conference on Applied System Invention (ICASI), 2018.
  10. C.-Y. Hsu, C.-M. Chang, L.-W. Kang, R.-H. Fu, D.-Y. Chen, and M.-F. Weng
  11. L.-W. Kang, Y.-T. Chen, W.-C. Jhong, and C.-Y. Hsu, "Deep learning-based identification of steel products," Proc.
  12. L.-W. Kang, K.-L. Chou, and R.-H. Fu, "Deep Learning-based weather image recognition," Proc. International Symposium on Computer, Consumer and Control (IS3C), 2018.
  13. L.-W. Kang, T.-Z. Feng, and R.-H. Fu, "Inception network-based weather image classification with pre-filtering process," Proc. International Computer Symposium, 2018.

名稱 開始日期 結束日期 委託單位 編號 參與身份別
基於跨領域深度學習之影像品質回復及其應用之研究 (3/3) 2024/08/01 2025/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於跨領域深度學習之影像品質回復及其應用之研究 (2/3) 2023/08/01 2024/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於跨領域深度學習之影像品質回復及其應用之研究 (1/3) 2022/08/01 2023/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(3/3) 2021/08/01 2022/12/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(2/3) 2020/08/01 2021/07/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(1/3) 2019/08/01 2020/07/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(3/3) 2018/08/01 2019/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(2/3) 2017/08/01 2018/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(1/3) 2016/08/01 2017/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人

  1. L.-W. Kang, C.-M. Yu, C.-Y. Lin, and C.-H. Yeh, Image and video restoration and enhancement via sparse representation. In Biometrics: Concepts, Methodologies, Tools, and Applications, 2017.