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Porto, Portugal.","alphadin":"<span style=\"font-variant:small-caps;\">Vovchenko, Viktoriia</span> ; <span style=\"font-variant:small-caps;\">Barberi, Vincenzo</span> ; <span style=\"font-variant:small-caps;\">Schultenkämper, Sergej</span> ; <span style=\"font-variant:small-caps;\">Bäumer, Frederik</span>: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In: <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>","short":"V. Vovchenko, V. Barberi, S. Schultenkämper, F. Bäumer, in: 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context, n.d.","bibtex":"@inproceedings{Vovchenko_Barberi_Schultenkämper_Bäumer, title={ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images}, booktitle={2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context}, author={Vovchenko, Viktoriia and Barberi, Vincenzo and Schultenkämper, Sergej and Bäumer, Frederik} }","mla":"Vovchenko, Viktoriia, et al. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.” <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>.","ama":"Vovchenko V, Barberi V, Schultenkämper S, Bäumer F. ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In: <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>.","chicago":"Vovchenko, Viktoriia, Vincenzo Barberi, Sergej Schultenkämper, and Frederik Bäumer. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.” In <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>, n.d."},"conference":{"name":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","location":"Porto, Portugal","start_date":"2026-06-05","end_date":"2026-06-11"},"publication_identifier":{"isbn":["978-1-68558-449-8"]},"type":"conference","user_id":"252442","publication":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","date_created":"2026-06-19T16:23:04Z","date_updated":"2026-08-25T14:04:58Z","author":[{"first_name":"Viktoriia","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229244","id":"252442","full_name":"Vovchenko, Viktoriia","orcid":"0009-0004-9798-1112","last_name":"Vovchenko"},{"first_name":"Vincenzo","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0007-8171-1208/work/224815720","id":"248039","full_name":"Barberi, Vincenzo","orcid":"0009-0007-8171-1208","last_name":"Barberi"},{"id":"236164","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229246","first_name":"Sergej","last_name":"Schultenkämper","orcid":"0009-0005-6858-9813","full_name":"Schultenkämper, Sergej"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229247","first_name":"Frederik","id":"241734","orcid":"0000-0002-0826-0144","full_name":"Bäumer, Frederik","last_name":"Bäumer"}]},{"conference":{"end_date":"2026-07-09","location":"Nizza, Frankreich","start_date":"2026-07-05","name":"2026 The Second International Conference on AI-based Media Innovation"},"publication_identifier":{"isbn":["978-1-68558-403-0"]},"editor":[{"first_name":"Stephan","full_name":"Böhm, Stephan","last_name":"Böhm"},{"first_name":"Petra","full_name":"Ahrweiler, Petra","last_name":"Ahrweiler"},{"first_name":"Johannes","full_name":"Gutenberg, Johannes","last_name":"Gutenberg"},{"first_name":"Clement ","full_name":"Leung, Clement ","last_name":"Leung"}],"abstract":[{"text":"Selecting an appropriate semantic segmentation model for a given application domain remains a challenging and time-consuming task for practitioners and researchers. This paper presents an interactive, web-based platform that enables side-by-side visual comparison of multiple neural network segmentation models applied to identical images. The system integrates three transformer-based segmentation models: a face-parsing network producing 19 semantic classes, a SegFormer-B3 clothing segmentation model with 18 classes, and a Mask2Former model for general-purpose scene segmentation spanning 150 ADE20K categories. Key contributions include side-by-side evaluation of model outputs across multiple architectures and image categories, with real-time segment highlighting and a scalable inference caching system that enables model comparisons without requiring repeated graphics processing unit (GPU) computation. The platform organizes a curated dataset of images under a hierarchical category taxonomy, supporting structured evaluation across demographic and contextual variables. As a practical use case, the system is applied within the ADRIAN project to assist in verifying identity consistency across images through segmentation-based analysis. The platform thus contributes a specialized artificial intelligence (AI) tool for systematic segmentation and object detection model evaluation within media analysis pipelines, where selecting appropriate models is a recurring challenge across tasks from identity verification to content moderation. It is available under https://github.com/vika-v-v/neural-networks-for-image-segmentation and designed to lower the barrier for comparative model evaluation in applied computer vision workflows.","lang":"eng"}],"citation":{"bibtex":"@inproceedings{Vovchenko_Schultenkämper_Bäumer, title={A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models}, booktitle={2026 The Second International Conference on AI-based Media Innovation}, publisher={IARIA}, author={Vovchenko, Viktoriia and Schultenkämper, Sergej and Bäumer, Frederik}, editor={Böhm, Stephan and Ahrweiler, Petra and Gutenberg, Johannes and Leung, Clement Editors} }","short":"V. Vovchenko, S. Schultenkämper, F. Bäumer, in: S. Böhm, P. Ahrweiler, J. Gutenberg, C. Leung (Eds.), 2026 The Second International Conference on AI-Based Media Innovation, IARIA, n.d.","mla":"Vovchenko, Viktoriia, et al. “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models.” <i>2026 The Second International Conference on AI-Based Media Innovation</i>, edited by Stephan Böhm et al., IARIA.","alphadin":"<span style=\"font-variant:small-caps;\">Vovchenko, Viktoriia</span> ; <span style=\"font-variant:small-caps;\">Schultenkämper, Sergej</span> ; <span style=\"font-variant:small-caps;\">Bäumer, Frederik</span>: A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: <span style=\"font-variant:small-caps;\">Böhm, S.</span> ; <span style=\"font-variant:small-caps;\">Ahrweiler, P.</span> ; <span style=\"font-variant:small-caps;\">Gutenberg, J.</span> ; <span style=\"font-variant:small-caps;\">Leung, C.</span> (Hrsg.): <i>2026 The Second International Conference on AI-based Media Innovation</i> : IARIA","chicago":"Vovchenko, Viktoriia, Sergej Schultenkämper, and Frederik Bäumer. “A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models.” In <i>2026 The Second International Conference on AI-Based Media Innovation</i>, edited by Stephan Böhm, Petra Ahrweiler, Johannes Gutenberg, and Clement  Leung. IARIA, n.d.","ama":"Vovchenko V, Schultenkämper S, Bäumer F. A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models. In: Böhm S, Ahrweiler P, Gutenberg J, Leung C, eds. <i>2026 The Second International Conference on AI-Based Media Innovation</i>. IARIA.","ieee":"V. Vovchenko, S. 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Nizza, Frankreich: IARIA."},"date_updated":"2026-07-27T12:17:01Z","author":[{"first_name":"Viktoriia","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229773","id":"252442","full_name":"Vovchenko, Viktoriia","orcid":"0009-0004-9798-1112","last_name":"Vovchenko"},{"last_name":"Schultenkämper","orcid":"0009-0005-6858-9813","full_name":"Schultenkämper, Sergej","id":"236164","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229775","first_name":"Sergej"},{"last_name":"Bäumer","full_name":"Bäumer, Frederik","orcid":"0000-0002-0826-0144","id":"241734","first_name":"Frederik","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229776"}],"main_file_link":[{"url":"https://www.thinkmind.org/library/AIMEDIA/AIMEDIA_2026"}],"type":"conference","user_id":"220548","publication":"2026 The Second International Conference on AI-based Media Innovation","date_created":"2026-06-19T16:31:47Z","language":[{"iso":"eng"}],"status":"public","keyword":["segmentation","model comparison","face parsing"],"publication_status":"accepted","_id":"7002","title":"A Web-Based Platform for Interactive Comparison of Neural Network Image Segmentation Models","year":"2026","publisher":"IARIA"},{"language":[{"iso":"eng"}],"status":"public","publication_status":"published","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"_id":"5407","year":"2025","title":"Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking","doi":"10.1109/ICSC64641.2025.00045","corporate_editor":["IEEE"],"conference":{"name":"IEEE International Conference on Semantic Computing","start_date":"2025-02-03","location":"Laguna Hills, CA","end_date":"2025-02-05"},"citation":{"apa":"Schultenkämper, S., Vovchenko, V., &#38; Bäumer, F. (2025). Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. In IEEE (Ed.), <i>The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI</i>. Laguna Hills, CA. <a href=\"https://doi.org/10.1109/ICSC64641.2025.00045\">https://doi.org/10.1109/ICSC64641.2025.00045</a>","ieee":"S. Schultenkämper, V. Vovchenko, and F. Bäumer, “Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking,” in <i>The 13th IEEE International Workshop on Semantic Computing for Social Networking: from user information to social knowledge and ethical AI</i>, Laguna Hills, CA, 2025.","chicago":"Schultenkämper, Sergej, Viktoriia Vovchenko, and Frederik Bäumer. “Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking.” In <i>The 13th IEEE International Workshop on Semantic Computing for Social Networking: From User Information to Social Knowledge and Ethical AI</i>, edited by IEEE, 2025. <a href=\"https://doi.org/10.1109/ICSC64641.2025.00045\">https://doi.org/10.1109/ICSC64641.2025.00045</a>.","ama":"Schultenkämper S, Vovchenko V, Bäumer F. Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. 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