Research
Semi-supervised Learning. J. H. Park, G. Lee, S. Park, and S. I. Cho, "Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor," In Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR2024), 2024.
Semi-supervised Domain Adaptation. B. H. Ngo, Y. J. Chae, J. E. Kwon, J. H. Park, and S. I. Cho, "Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy," In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV2023), pp. 19214-19223, Oct. 6, 2023.
Lane Detection. (Y. J. Chae, S. J. Park, E. S. Kang, M. J. Chae, B. H. Ngo, and S. I. Cho, "Point2Lane: Polyline-based Reconstruction with Principal Points for Lane Detection," in IEEE Transactions on Intelligent Transportation Systems)
Image Deblurring . H S. Lee and S. I. Cho, "Locally Adaptive Channel Attention-based Spatial–Spectral Neural Network for Image Deblurring," in IEEE Transactions on Circuits and Systems for Video Technology, Vol. 33, Issue. 10, pp. 5375-5390, Oct. 2023.
Multitarget Domain Adaptation. B. H. Ngo, Y. J. Chae , J. H. Park, and S. I. Cho, "Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, Jan. 2023.
Welding Defect Detection. J. E. Kwon, J. H. Park, J. H. Kim, Y. H. Lee, and S. I. Cho, "Context and Scale-aware YOLO for Welding Defect Detection," in NDT and E International, vol. 139, pp. 1-9, Oct. 2023.
Incomplete Multisource Domain Adaptation. B. H. Ngo, J. H. Kim, S. J. Park and S. I. Cho, "Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, Jul. 2022.
Semi-Supervised Domain Adaptation (B. H. Ngo, J. H. Kim, Y. J. Chae and S. I. Cho, "Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation," in IEEE Access, vol. 9, pp. 166488-166501, 2021, doi: 10.1109/ACCESS.2021.3136567.)
Image Downscaler (S. I. Cho and S.-J. Kang, “Learning Methodologies to Generate Kernel-learning-based Image Downscaler for Arbitrary Scaling Factors,” IEEE Transactions on Image Processing, Vol. 30, pp. 4526-4539, Apr. 2021.)
Video Retargeting (S. I. Cho and S.-J. Kang, “Temporal Incoherence-free Video Retargeting Using Foreground Aware-extrapolation,” IEEE Trans. on Image Processing, Vol. 29, Issue. 1, pp. 4848-4861 , Mar. 2020.)
CNN-based Video Retargeting (S. J. Lee, S. I. Cho, and S.-J. Kang, “Object Detection-based Video Retargeting with Spatial-Temporal Consistency,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 30, Issue. 12, pp. 4434-4439 , Dec. 2020.)
CNN-based Video Extrapolation (S. I. Cho and S.-J. Kang, “Extrapolation-based Video Retargeting with Backward Warping using Image-to-Warping Vector Generation Network,” IEEE Signal Processing Letters, Vol. 27, Issue. 1, pp. 446-450, Feb. 2020.)
CNN-based people counting (S. I. Cho, “Vision-based People Counter Using CNN-based Event Classification,” IEEE Trans. on Instrumentation and Measurement, Vol. 69, Issue. 8, pp. 5308-5315, Aug. 2020.)
CNN-based Denoiser (S. I. Cho and S.-J. Kang, “Gradient Prior-aided CNN Denoiser with Separable Convolution-based Optimization of Feature Dimension,” IEEE Trans. on Multimedia, Vol. 21, No. 2, pp. 484-493, Feb. 2019.)
