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Highly Cited Papers

Automatic single-image-based rain streaks removal via image decomposition

Kang, L. W., Lin, C. W., & Fu, Y. H.

IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1742–1755, Apr. 2012

Google citations: 1028

Distributed compressive video sensing

Kang, L. W., & Lu, C. S.

Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, pp. 1169-1172, Apr. 2009

Google citations: 312

Self-learning based image decomposition with applications to single image denoising

Huang, D. A., Kang, L. W., Wang, Y. C. F., & Lin, C. W.

IEEE Transactions on Multimedia, vol. 16, no. 1, Jan. 2014

Google citations: 287

Visual depth guided image rain streaks removal using sparse coding

Chen, D. Y., Chen, C. C., & Kang, L. W.

IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 8, pp. 1430-1455, 2014

Google citations: 214

Lightweight deep neural network for joint learning of underwater object detection and color conversion

Yeh, C. H., Lin, C. H., Kang, L. W., Huang, C. H., Lin, M. H., Chang, C. Y., & Wang, C. C.

IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, pp. 6129–6143, Nov. 2022

Google citations: 210

Context-aware single image rain removal

Huang, D. A., Kang, L. W., Yang, M. C., Lin, C. W., & Wang, Y. C. F.

Proc. IEEE Int. Conf. on Multimedia and Expo, Melbourne, Australia, July 2012

Google citations: 148

Multi-scale deep residual learning-based single image haze removal via image decomposition

Yeh, C. H., Huang, C. H., & Kang, L. W.

IEEE Transactions on Image Processing, vol. 29, 2020

Google citations: 146

2025

Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture

Chen, S. Y., Wu, Y. C., Kuo, Y. M., Zhang, R. H., Cheng, T. Y., Chen, Y. C., Chu, P. Y., Kang, L. W., & Lin, C.

Smart Agricultural Technology, vol. 11, 2025

Robust hyperspectral image pansharpening via sparse spatial-spectral representation

Lee, C. M., Lin, Y. F., Kang, L. W., & Hsu, C. C.

Proc. IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, Aug. 2025

HyFusion: Enhanced reception field transformer for hyperspectral image fusion

Lee, C. M., Lin, Y. F., Ho, Y. H., Kang, L. W., & Hsu, C. C.

Proc. IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, Aug. 2025

Evaluation on video super-resolution via self-supervision-guided generative adversarial network with image denoising

Chen, B. A., & Kang, L. W.

Proc. International Workshop on Advanced Imaging Technology, vol. 13510, pp. 275-279, 2025

Robust hyperspectral image panshapring via sparse spatial-spectral representation

Lee, C. M., Lin, Y. F., Kang, L. W., & Hsu, C. C.

arXiv:2501.07953, Jan. 2025

HyFusion: Enhanced reception field transformer for hyperspectral image fusion

Lee, C. M., Lin, Y. F., Ho, Y. H., Kang, L. W., & Hsu, C. C.

arXiv:2501.04665, Jan. 2025

2024

Two-stage deep image restoration network with application to single image shadow removal

Yeh, C. H., Zhan, Z. X., & Kang, L. W.

Applied Soft Computing, vol. 167, Part A, Dec. 2024

Image inpainting based on GAN-driven structure-and texture-aware learning with application to object removal

Yeh, C. H., Yang, H. F., Chen, M. J., & Kang, L. W.

Applied Soft Computing, vol. 161, 2024

Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement

Yeh, C. H., Yang, H. F., Lin, Y. Y., Huang, W. J., Tsai, F. H., & Kang, L. W.

Engineering Applications of Artificial Intelligence, vol. 131, May 2024

Transformer-based inverse halftoning with attention mechanism for halftone image reconstruction

Lee, W. H., Huang, P. T., & Kang, L. W.

Proc. IEEE GCCE, 2024

PADU-Net: Parallel attention-based dual U-Net for retinal vessel segmentation

Hu, J. H., Kang, L. W., & Chang, P. C.

Proc. IEEE GCCE, 2024

2023

A lightweight deep learning model for real-time face recognition

Deng, Z. Y., Chiang, H. H., Kang, L. W., & Li, H. C.

IET Image Processing, vol. 17, no. 13, pp. 3869-3883, Nov. 2023

Deep learning-based vehicle trajectory prediction based on generative adversarial network for autonomous driving applications

Hsu, C. C., Kang, L. W., Chen, S. Y., Wang, I. S., Hong, C. H., & Chang, C. Y.

Multimedia Tools and Applications, vol. 82, pp. 10763–10780, 2023

Learning single image rain streak removal based on deep attention mechanism

Huang, K. H., & Kang, L. W.

Proc. APSIPA ASC, 2023

AnimeTransGAN: Animation image super-resolution transformer via deep generative adversarial network

Peng, C. D., & Kang, L. W.

Proc. IEEE GCCE, 2023

Single underwater image restoration via unsupervised generative adversarial network and contrastive learning

Sung, Y. H., Kang, L. W., & Yeh, C. H.

Proc. IEEE ICCE-TW, 2023

Integration of robotic vision and automatic tool changer based on sequential motion primitive for performing assembly tasks

Deng, Z. Y., Kang, L. W., Chiang, H. H., & Li, H. C.

Proc. IFAC World Congress, 2023

2022

Lightweight deep neural network for joint learning of underwater object detection and color conversion

Yeh, C. H., Lin, C. H., Kang, L. W., Huang, C. H., Lin, M. H., Chang, C. Y., & Wang, C. C.

IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, pp. 6129–6143, Nov. 2022

Cross domain deep learning for noise removal from LDCT images

Tsai, H. X., & Kang, L. W.

Proc. IEEE ICCE-TW, 2022

Unsupervised cross domain learning for noise removal from a single image

Tsai, H. X., & Kang, L. W.

Proc. IEEE IST, 2022

2021

Deep learning-based compressed image artifacts reduction based on multi-scale image fusion

Yeh, C. H., Lin, C. H., Lin, M. H., Kang, L. W., Huang, C. H., & Chen, M. J.

Information Fusion, 2021

Generative adversarial networks-based face hallucination with identity-preserving

Yeh, C. H., Chiu, D., Kang, L. W., Hsu, C. C., & Lo, C.

Proc. IEEE ICCE-TW, 2021

2020

Sequential dual attention network for rain streak removal in a single image

Lin, C. Y., Tao, Z., Xu, A. S., Kang, L. W., & Akhyar, F.

IEEE Transactions on Image Processing, vol. 29, pp. 9250-9265, 2020

Multi-scale deep residual learning-based single image haze removal via image decomposition

Yeh, C. H., Huang, C. H., & Kang, L. W.

IEEE Transactions on Image Processing, vol. 29, 2020

Enhanced visual attention-guided deep neural networks for image classification

Yeh, C. H., Lin, M. H., Chang, P. C., & Kang, L. W.

IEEE Access, vol. 8, pp. 163447–163457, 2020

Scene text-line extraction with fully convolutional network and refined proposals

Zeng, G. X., Hou, Y. H., Su, P. C., & Kang, L. W.

Proc. APSIPA ASC, 2020 (Best Paper Award)

Vehicle trajectory prediction based on social generative adversarial network for self-driving car applications

Kang, L. W., Hsu, C. C., Wang, I. S., Liu, T. L., Chen, S. Y., & Chang, C. Y.

Proc. IEEE IS3C, 2020

Deep learning-based moiré pattern removal from a single image: A survey and comparative study

Kang, L. W., Lo, C., & Yeh, C. H.

Proc. IEEE ICCE-TW, 2020

Older Publications (Selection)

Popularity prediction of social media based on multi-modal feature mining

Hsu, C. C., Kang, L. W., Lee, C. Y., Lee, J. Y., Zhang, Z. X., & Wu, S. M.

Proc. ACM MM, 2019 (Best Performance Award)

A novel non-negative matrix factorization technique for decomposition of Chinese characters with application to secret sharing

Lin, C. Y., Kang, L. W., Huang, T. Y., & Chang, M. K.

EURASIP Journal on Advances in Signal Processing, Aug. 2019

Context-aware single image rain removal

De-An Huang, L.-W. Kang, Min-Chun Yang, Chia-Wen Lin, and Yu-Chiang Frank Wang,

IEEE International Conference on Multimedia and Expo (ICME), July 2012

Self-learning-based post-processing for image/video deblocking via sparse representation

C.-H. Yeh, L.-W. Kang, Y.-W. Chiou, C.-W. Lin, and S.-J. Fan Jiang

Journal of Visual Communication and Image Representation, vol. 25, no. 5, pp. 891–903, July 2014

Feature-based sparse representation for image similarity assessment

L.-W. Kang, C.-Y. Hsu, H.-W. Chen, C.-S. Lu, C.-Y. Lin, and S.-C. Pei

IEEE Transactions on Multimedia, vol. 13, no. 5, 2011