Selected Publications


J. L. Yin, B. H. Chen, Y. T. Peng and H. Hwang, “Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 12, pp. 7853-7862, Dec. 2022. [pdf] [code]

B. H. Chen, J. Han, S. Chen, J. L. Yin and Z. Chen, “Automatic Itinerary Planning Using Triple-Agent Deep Reinforcement Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18864-18875, Oct. 2022. [pdf] [code]

B. H. Chen, S. Ye, J. L. Yin, H. Y. Cheng and D. Chen, “Deep Trident Decomposition Network for Single License Plate Image Glare Removal,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 6596-6607, July 2022. [pdf] [bib] [code]

J. L. Yin, B. H. Chen and Y. T. Peng, “Two Exposure Fusion Using Prior-Aware Generative Adversarial Network,” IEEE Transactions on Multimedia, vol. 24, pp. 2841-2851, June 2022. [pdf]

B. H. Chen, H. Y. Cheng and J. L. Yin, “Adaptive Actor-Critic Bilateral Filter,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, pp. 1675-1679, May 2022. [pdf] [code]

B. H. Chen, H. Y. Cheng, Y. S. Tseng and J. L. Yin, “Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022. [pdf] [bib] [code]

J. L. Yin, B. H. Chen, Y. T. Peng, and C. C. Tsai, “Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement,” IEEE Transactions on Multimedia, vol. 23, pp. 1049-1059, 2021. [pdf] [bib] [code]

J. L. Yin, B. H. Chen, and K. R. Lai, “Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 12, pp. 5271-5282, Dec. 2020. [pdf] [bib]

J. L. Yin, Y. C. Huang, B. H. Chen and S. Z. Ye, “Color Transferred Convolutional Neural Networks for Image Dehazing,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 11, pp. 3957-3967, Nov. 2020. [pdf] [bib] [Project] [code]

S. Ye, J. L. Yin, B. H. Chen, D. Chen, and Y. Wu, “Single Image Glare Removal Using Deep Convolutional Networks,” IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pp. 201-205, Oct. 2020. [pdf]

B. H. Chen, Y. S. Tseng, and J. L. Yin, “Gaussian-Adaptive Bilateral Filter,” IEEE Signal Processing Letters, vol. 27, pp. 1670-1674, Sept. 2020. [pdf] [bib] [code]


J. L. Yin, B. H. Chen, E. H. Lai, and L. F. Shi, “Power-constrained Image Contrast Enhancement through Sparse Representation by Joint Mixed-norm Regularization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 8, pp. 2477-2488, Aug. 2020. [pdf] [bib] [Project] [code]

J. L. Yin, B. H. Chen, Y. T. Peng, and C. C. Tsai, “Deep Prior Guided Network For High-Quality Image Fusion,” IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, pp. 1-6, Jul. 2020. [pdf] [code]

S. Chen, B. H. Chen, Z. Chen, and Y. Wu, “Itinerary Planning via Deep Reinforcement Learning,” ACM International Conference on Multimedia Retrieval (ICMR), Dublin, Ireland, pp. 286–290, Jun. 2020. [pdf]

L. Y. Huang, J. L. Yin, B. H. Chen, and S. Ye, “Towards Unsupervised Single Image Dehazing With Deep Learning,” IEEE International Conference on Image Processing (ICIP), pp. 2741-2745, Taipei, Taiwan, Sept. 2019. [pdf]

B. H. Chen, L. F. Shi, and X. Ke, “A Robust Moving Object Detection in Multi-Scenario Big Data for Video Surveillance,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 4, pp. 982-995, April 2019. [pdf] [bib] [Project]

B. H. Chen, Y. L. Wu, and L. F. Shi, “A Fast Image Contrast Enhancement Algorithm Using Entropy-Preserving Mapping Prior,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 1, pp. 38-49, Jan. 2019. [pdf] [bib] [Project] [code]

J. L. Yin and B. H. Chen, “An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data,” IEEE Transactions on Intelligent Vehicles, vol. 3, no. 4, pp. 585-594, Dec. 2018. [pdf] [bib] [Project]

J. L. Yin, B. H. Chen, and Y. Li, “Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data,” IEEE Transactions on Multimedia, vol. 20, no. 11, pp. 3045-3056, Nov. 2018. [pdf] [bib] [Project] [code]

L. F. Shi, B. H. Chen et al., “Removing Haze Particles From Single Image via Exponential Inference With Support Vector Data Description,” IEEE Transactions on Multimedia, vol. 20, no. 9, pp. 2503-2512, Sept. 2018. [pdf] [bib] [code]

J. L. Yin, B. H. Chen, K. R. Lai and Y. Li, “Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals,” IEEE Sensors Journal, vol. 18, no. 12, pp. 4785-4794, June, 2018. [pdf] [bib]


More publications can be found here.