{"id":16,"date":"2018-01-12T11:49:01","date_gmt":"2018-01-12T02:49:01","guid":{"rendered":"https:\/\/kaumediaprocessing.wordpress.com\/?page_id=16"},"modified":"2026-07-08T02:14:07","modified_gmt":"2026-07-08T02:14:07","slug":"research","status":"publish","type":"page","link":"http:\/\/multimedia.kau.ac.kr\/?page_id=16","title":{"rendered":"Research<\/strong>"},"content":{"rendered":"

R1. Video forensics <\/strong> <\/span>
\n Video forensics is an investigation technique for detecting manipulated(forged) video, and is a key technology for solving various image\/video related legal problems.<\/span><\/p>\n

1.1 Generalization of Deep Faked Image\/Video Detection<\/strong><\/b><\/span>
\n\"\"
\n[Face2Parts: Exploring coarse-to-fine inter-regional facial dependencies for generalized deepfake detection, 2026]<\/span><\/p>\n

1.2 Counter Anti-forensic for Defending Adversarial Attacks<\/strong><\/b><\/span><\/p>\n

\"\"
\n[A robust open-set multi-instance learning for defending adversarial attacks in digital image, 2024.]<\/span>
\n[Counter-act against GAN-based attacks: A collaborative learning approach for anti-forgery detection, 2024.] <\/span><\/span><\/p>\n

1.3 Detection of Double Compression<\/strong><\/b><\/span>
\n\"\"  <\/a>
\n[Deep learning-based counter anti-forensic of GAN-based attack in HEVC compressed domain using coding pattern analysis, 2023.] <\/span>
\n[Double compression detection in HEVC-coded video with the same coding parameters using picture partitioning information, 2022.]<\/span><\/span><\/p>\n

R2. Point Cloud Processing <\/strong> <\/span><\/p>\n

2.1 Point Cloud Rendering <\/strong><\/b><\/span><\/p>\n

\"\"
\n[CRISP: Cylindrical rendering for in-stream point clouds, 2026.]<\/span>
\n[Rendering compressed point clouds with a voxel-based method, 2025.]<\/span>
\n[Point-based volumetric surface rendering via multi-projection, 2024.]<\/span><\/p>\n

2.2 Feature Extractions for Point Cloud Data <\/strong><\/b><\/span>
\n\"\" <\/a>
\n[A versatile point view descriptor of multi-view depth images for 3D shape classification, In preparation.] <\/span><\/span><\/p>\n

R3. 3D Image\/Video Processing <\/strong> <\/span><\/p>\n

3.1 Immersive Video Processing <\/strong><\/b><\/span><\/p>\n

\"\"
\n[Inactive region filling method for efficient compression using reinforcement learning, 2023.]<\/span><\/p>\n

3.2 Depth Map Processing <\/strong><\/b><\/span>
\n\"\" <\/a>
\n[Deep convolutional grid warping network for joint depth map upsampling, 2020.] <\/span><\/span>
\n[Depth map upsampling with a confidence-based joint guided filter, 2019.] <\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

R1. Video forensics Video forensics is an investigation technique for detecting manipulated(forged) video, and is a key technology for solving various image\/video related legal problems. 1.1 Generalization of Deep Faked Image\/Video Detection [Face2Parts: Exploring coarse-to-fine inter-regional facial dependencies for generalized deepfake detection, 2026] 1.2 Counter Anti-forensic for Defending Adversarial Attacks [A robust open-set multi-instance learning … Continue reading Research<\/strong><\/span> →<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-16","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/16","targetHints":{"allow":["GET"]}}],"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=16"}],"version-history":[{"count":59,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/16\/revisions"}],"predecessor-version":[{"id":1247,"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=\/wp\/v2\/pages\/16\/revisions\/1247"}],"wp:attachment":[{"href":"http:\/\/multimedia.kau.ac.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}