{"id":87,"date":"2018-01-17T17:22:12","date_gmt":"2018-01-17T08:22:12","guid":{"rendered":"https:\/\/kaumediaprocessing.wordpress.com\/?page_id=87"},"modified":"2026-04-02T02:16:00","modified_gmt":"2026-04-02T02:16:00","slug":"international-papers","status":"publish","type":"page","link":"http:\/\/multimedia.kau.ac.kr\/?page_id=87","title":{"rendered":"<strong>International Papers<\/strong>"},"content":{"rendered":"<div><span style=\"color: #3d85c6; font-size: large;\"><strong>Journal Papers<\/strong><\/span><\/div>\n<ul style=\"color: #666666; font-family: georgia, serif;\">\n<li>K. Uddin, N. Tasnim, B. T. Oh, &#8220;Face2Parts: Exploring coarse-to-fine inter-regional facial dependencies for generalized deepfake detection,&#8221; IEEE Access, Mar. 2026.<\/li>\n<li>T. Lee, C. Park, J. Ko, M. Huh, B. Kim, H. Lee, B. T. Oh, W. Lee, \u201cA new similarity evaluation method that reflects the characteristics of SAR images based on statistical quality measurement,\u201d Automatic Target Recognition, SPIE, May 2025.<\/li>\n<li>K. Uddin, Y. Yang, T. H. Jeong, B. T. Oh, \u201cA robust open-set multi-instance learning for defending adversarial attacks in digital image,\u201d IEEE Trans. on Information Forensics and Security, 2024.<\/li>\n<li>Y. Lee, K-J. Oh, G. Lee, B. T. Oh, \u201cHigh bit-depth geometry representation and compression in MPEG immersive video system,\u201d IEEE Access, Dec. 2024.<\/li>\n<li>S. Y. Jang, B. T. Oh, E. Oh, \u201cA Deep learning-based solar power generation forecasting method applicable to multiple sites,\u201d Sustainability, Jun. 2024.<\/li>\n<li>K. Uddin, T. H. Jeong, B. T. Oh, \u201cCounter-act against GAN-based attacks: A collaborative learning approach for anti-forgery detection,\u201d Applied Soft Computing, Mar. 2024.<\/li>\n<li>K. Uddin, Y. Yang, B. T. Oh, \u201cDeep learning-based counter anti-forensic of GAN-based attack in HEVC compressed domain using coding pattern analysis,\u201d Expert Systems With Applications, Dec. 2023.<\/li>\n<li>D.-H. Park, G. Moon, B. T. Oh, J.-G. Kim, \u201cCoarse-to-fine networks-based intra prediction in versatile video coding,\u201d Sensors, Nov. 2023.<\/li>\n<li>Y.-U. Yoon, D. Kim, J. Lee, B. T. Oh, J.-G. Kim, \u201cAn efficient multi-scale feature compression with QP-adaptive feature channel truncation for video coding for machines,\u201d IEEE Access, Aug. 2023.<\/li>\n<li>D. Kim, K. Uddin, B. T. Oh, \u201cInactive region filling method for efficient compression using reinforcement learning,\u201d IEEE Access, Jul. 2023.<\/li>\n<li>D.-H. Kim, Y.-U. Yoon, G.-W. Han, B. T. Oh, J.-G. Kim, \u201cCompression of multiscale features of FPN with channel-wise reduction for VCM,\u201d Electronics, Jun. 2023.<\/li>\n<li>K. Uddin, Y. Yang, B. T. Oh, \u201cDouble Compression Detection in HEVC-coded video with the same coding parameters using picture partitioning information,\u201d Signal Processing: Image Communication, Apr. 2022.<\/li>\n<li>K. Uddin, T. H. Jeong, B. T. Oh, \u201cIncomplete region estimation and restoration of 3D point cloud human face datasets,\u201d Sensors, Jan. 2022.<\/li>\n<li>S. Y. Lee, Y. Yang, D. Kim, S. Cho, B. T. Oh, &#8220;Offset-based in-loop filtering with a deep network in HEVC,&#8221; IEEE Access, Dec. 2020.<\/li>\n<li>Y. Yang, B. T. Oh, &#8220;Video frame interpolation using deep cascaded network structure,&#8221; Signal Processing: Image Communication, Nov. 2020.<\/li>\n<li>Y. Lee, H. Hwang, J. Shin, B. T. Oh, &#8220;Pedestrian detection using multi-scale squeeze-and-excitation module,&#8221; Machine Vision and Applications, Aug. 2020.<\/li>\n<li>Y. Yang, D. Kim, B. T. Oh, &#8220;Deep convolutional grid warping network for joint depth map upsampling,&#8221; IEEE Access, Aug. 2020.<\/li>\n<li>J. H. Hong, Y. Yang, B. T. Oh, &#8220;Detection of frame deletion in HEVC-coded video in the compressed domain,&#8221; Digital Investigation, Sep. 2019.<\/li>\n<li>Y. Yang, H. S. Lee, B. T. Oh, &#8220;Depth map upsampling with a confidence-based joint guided filter,&#8221;  Signal Processing: Image Communication, Sep. 2019.<\/li>\n<li>Y. Yang, J. H. Hong, B. T. Oh, \u201cMulti-layer frame rate up-conversion using trilateral filtering for multi-view video,\u201d IEEE Trans. on Circuits and Systems for Video Technology, Feb. 2019.<\/li>\n<li>Y. -W. Lee, T. D. Bui, J. Shin, B. T. Oh, &#8220;Neural-network-based impulse noise removal using group-based weighted couple sparse representation,&#8221; KSII Trans. on Internet and Information Systems, Aug. 2018.<\/li>\n<li>B. T. Oh, \u201cEnhanced zonal search algorithm for motion estimation in depth-map coding,\u201d Signal, Image and Video Processing, Mar. 2018.<\/li>\n<li>\u200bD. Lee, Y. Yang, B. T. Oh, \u201cPre-\/post-processing to improve the coding performance of multiview plus depth map,\u201d Signal Processing: Image Communication, Oct. 2017.<\/li>\n<li>K.-J. Oh, B. T. Oh, \u201cEfficient depth intraprediction method for H.264\/AVC-based three-dimensional video coding,\u201d Optical Engineering, Apr. 2015.<\/li>\n<li>B. T. Oh, \u201cAn adaptive quantization algorithm without side information for depth map coding,\u201d Signal Processing: Image Communication, Oct. 2014.<\/li>\n<li>B. T. Oh, K.-J. Oh, \u201cView synthesis distortion estimation for AVC- and HEVC-compatible 3D video coding,\u201d IEEE Trans. on Circuits and Systems for Video Technology, Jun. 2014.<\/li>\n<li>T.-W. Kim, J. Shin, and B. T. Oh, \u201cMoving-object based depth map estimation using re-labeling and hybrid matching,\u201d Optical Engineering, Mar. 2014.<\/li>\n<li>B. T. Oh, C.-C. Kuo, \u201cSuper-resolution texture synthesis using stochastic PAR\/NL model,\u201d Journal of Visual Communication and Image Representation, Oct. 2012.<\/li>\n<li>B. T. Oh, J. Lee, D.-S. Park, \u201cDepth map coding based on synthesized view distortion function,\u201d IEEE Journal of Selected Topics in Signal Processing, Nov. 2011.<\/li>\n<li>B. T. Oh, Y. Su, A. Segall, C.-C. Kuo, \u201cSynthesis-based texture video coding with side information,\u201d IEEE Trans. on Circuits and Systems for Video Technology, May 2011.<\/li>\n<li>T. Thaipanich, B. T. Oh, P.-H. Wu, D. Xu, C.-C. Kuo, \u201cImproved image denoising with adaptive nonlocal means algorithm,\u201d IEEE Trans. on Consumer Electronics, Nov. 2010.<\/li>\n<li>V. Ramanathan, B. T. Oh, C.-C. Kuo, \u201cFast non-local means (NLM) computation with probabilistic early termination,\u201d IEEE Signal Processing Letters, Mar. 2010.<\/li>\n<li>B. T. Oh, S. Lei, C.-C. Kuo, \u201cAdvanced film grain noise extraction and synthesis for high definition video coding,\u201d IEEE Trans. on Circuits and Systems for Video Technology, Dec. 2009.<\/li>\n<\/ul>\n<div><span style=\"color: #3d85c6; font-family: arial, sans-serif; font-size: large;\"><strong>Conference Papers<\/strong><\/span><\/div>\n<ul style=\"color: #666666; font-family: georgia, serif;\">\n<li>H. Kang, S. Y. Jang, Y. Yoon, B. T. Oh, \u201cCRISP: Cylindrical rendering for in-stream point clouds,\u201d IEEE\/CVF Winter Conference on Applications of Computer Vision, 2026.<\/li>\n<li>H. Kang, Y. Yoon, J.-H. Baek, B. T. Oh, \u201cRendering compressed point clouds with a voxel-based method,\u201d IEEE International Symposium on Multimedia, 2025.<\/li>\n<li>H. Kang, S. Jang, B. T. Oh, &#8220;Point-based volumetric surface rendering via multi-projection,&#8221; International Conference on 3D Systems and Applications, 2024.<\/li>\n<li>K. Uddin, T. H. Jeong, B. T. Oh, &#8220;Deep learning-based incomplete regions estimation and restoration of 3D human face point cloud,&#8221; IEEE International Conference on Consumer Electronics-Asia, 2022.<\/li>\n<li>K. Uddin, Y. Yang, B. T. Oh, &#8220;Analysis of generative adversarial network targeting anti-forensic in JPEG compressed domain,&#8221; International Workshop on Advanced Image Technology, 2021.<\/li>\n<li>Y. Yang, D. Lee, and B. T. Oh,\u201cFrame rate up conversion for multi-view video,\u201d APSIPA Annual Summit and Conference, 2016.<\/li>\n<li>D. Lee, Y. Yang, and B. T. Oh,\u201cEnhancement of depth map post-processing for 3D video coding,\u201d International Workshop on Advanced Image Technology, 2016.<\/li>\n<li>K.-J. Oh, B. T. Oh, K. Moon, and J. Kim,\u201cRate-distortion optimal motion estimation for depth map coding,\u201d APSIPA Annual Summit and Conference, 2014.<\/li>\n<li>B. T. Oh, K.-J. Oh, \u201cFast motion estimation algorithm for depth map,\u201d IEEE International Conference on Consumer Electronics, 2014.<\/li>\n<li>B. T. Oh, J. Lee, D.-S. Park, \u201cFast joint bit-allocation between texture and depth maps for 3D video coding,\u201d IEEE International Conference on Consumer Electronics, 2013.<\/li>\n<li>B. T. Oh, H.-C Wey, D.-S. Park, \u201cPlane segmentation based intra prediction for depth map coding,\u201d Picture Coding Symposium, 2012.<\/li>\n<li>S. Lee, S. Lee, B. T. Oh, K.-J. Oh, I. Lim, J. Y. Lee, C. Kim, \u201c3D video format and compression methods for efficient multiview video transfer,\u201d IEEE Consumer Communications and Networking Conference, 2012.<\/li>\n<li>S. Chachada, B. T. Oh, N. Cho, S. A. Phong, D. Manchala, C.-C. Kuo, \u201cExtension of non-local means (NLM) algorithm with Gaussian filtering for highly noisy images,\u201d IEEE Visual Communication and Image Processing, 2011.<\/li>\n<li>B. T. Oh, H.-C Wey, D.-S. Park, \u201cDepth map coding based on color motion information,\u201d SPIE Electronic Imaging, 2011.<\/li>\n<li>T. Thaipanich, B. T. Oh, P.-H. Wu, C.-C. Kuo, \u201cAdaptive nonlocal means algorithm for image denoising,\u201d IEEE International Conference on Consumer Electronics, 2010.<\/li>\n<li>B. T. Oh, C.-C. Kuo, \u201cNew PAR\/NL scheme for stochastic texture interpolation,\u201d IEEE International Conference on Multimedia Expo, 2009.<\/li>\n<li>B. T. Oh, Y. Su, A. Segall, C.-C. Kuo, \u201cSynthesis-based texture video coding with side information,\u201d IEEE International Conference on Image Processing, 2008.<\/li>\n<li>B. T. Oh, S. Sun, S. Lei, C.-C. Kuo, \u201cFilm grain noise modeling in advanced video coding,\u201d SPIE Visual Communications and Image Processing, 2007.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Journal Papers K. Uddin, N. Tasnim, B. T. Oh, &#8220;Face2Parts: Exploring coarse-to-fine inter-regional facial dependencies for generalized deepfake detection,&#8221; IEEE Access, Mar. 2026. T. Lee, C. Park, J. Ko, M. Huh, B. Kim, H. Lee, B. T. Oh, W. Lee, \u201cA new similarity evaluation method that reflects the characteristics of SAR images based on statistical &hellip; <a href=\"http:\/\/multimedia.kau.ac.kr\/?page_id=87\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\"><strong>International Papers<\/strong><\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":6,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/87"}],"collection":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=87"}],"version-history":[{"count":50,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/87\/revisions"}],"predecessor-version":[{"id":1224,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/87\/revisions\/1224"}],"up":[{"embeddable":true,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/6"}],"wp:attachment":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=87"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}