Relevant bibliographies by topics / Personalized images

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personalized images'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Personalized images"

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Zhao, Haiming, Jufeng Wang, Xiaoyu Ren, Jingyuan Li, Yong-Liang Yang, and Xiaogang Jin. "Personalized food printing for portrait images." Computers & Graphics 70 (February 2018): 188–97. http://dx.doi.org/10.1016/j.cag.2017.07.012.

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Nakashima, Yuto. "Personalized Image Generation Through Swiping." Proceedings of the AAAI Symposium Series 3, no. 1 (2024): 374–75. http://dx.doi.org/10.1609/aaaiss.v3i1.31238.

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Generating preferred images from GANs is a challenging task due to the high-dimensional nature of latent space. In this study, we propose a novel approach that uses simple user-swipe interactions to generate preferred images from users. To effectively explore the latent space with only swipe interactions, we apply principal component analysis to the latent space of StyleGAN, creating meaningful subspaces. Additionally, we use a multi-armed bandit algorithm to decide which dimensions to explore, focusing on the user's preferences. Our experiments show that our method is more efficient in genera
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Chen, Jun, Chaokun Wang, Jianmin Wang, Xiang Ying, and Xuecheng Wang. "Learning the Personalized Intransitive Preferences of Images." IEEE Transactions on Image Processing 26, no. 9 (2017): 4139–53. http://dx.doi.org/10.1109/tip.2017.2709941.

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Wang, Jia. "Innovative Practice of Digital Printing Technology and Computer Image Fusion in Personalized Packaging." Journal of Combinatorial Mathematics and Combinatorial Computing 127a (April 15, 2025): 1285–302. https://doi.org/10.61091/jcmcc127a-075.

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In the context of continuous innovation in science and technology, consumer demand is becoming increasingly diversified, especially in product packaging design, personalization and uniqueness have become a new pursuit. The article proposes a computer image fusion DPformer-GAN model based on Transformer model and GAN, which is used to realize personalized packaging image fusion and generation. The digital image is then converted into a personalized packaging object through digital printing technology, which then realizes the innovative practice of personalized packaging.The DPformer-GAN model r
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Zhu, Hancheng, Yong Zhou, Zhiwen Shao, Wenliang Du, Guangcheng Wang, and Qiaoyue Li. "Personalized Image Aesthetics Assessment via Multi-Attribute Interactive Reasoning." Mathematics 10, no. 22 (2022): 4181. http://dx.doi.org/10.3390/math10224181.

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Due to the subjective nature of people’s aesthetic experiences with respect to images, personalized image aesthetics assessment (PIAA), which can simulate the aesthetic experiences of individual users to estimate images, has received extensive attention from researchers in the computational intelligence and computer vision communities. Existing PIAA models are usually built on prior knowledge that directly learns the generic aesthetic results of images from most people or the personalized aesthetic results of images from a large number of individuals. However, the learned prior knowledge ignor
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Hammoudi, Karim, and Mahmoud Melkemi. "Personalized Shares in Visual Cryptography." Journal of Imaging 4, no. 11 (2018): 126. http://dx.doi.org/10.3390/jimaging4110126.

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This article deals with visual cryptography. It consists of hiding a message in two key images (also called shares). The decryption of the message is obtained through human vision by superposition of the shares. In existing methods, the surface of key images is not visually pleasant and is not exploited for communicating textual or pictorial information. Presently, we propose a pictogram-based visual cryptography technique, which generates shares textured with customizable and aesthetic rendering. Moreover, robustness characteristics of this technique to the automated decoding of the secret me
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., Prasanna Wadekar. "PERSONALIZED GEO-TAG RECOMMENDATION FOR COMMUNITY CONTRIBUTED IMAGES." International Journal of Research in Engineering and Technology 04, no. 05 (2015): 234–39. http://dx.doi.org/10.15623/ijret.2015.0405045.

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Nitzan, Yotam, Kfir Aberman, Qiurui He, et al. "MyStyle." ACM Transactions on Graphics 41, no. 6 (2022): 1–10. http://dx.doi.org/10.1145/3550454.3555436.

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We introduce MyStyle, a personalized deep generative prior trained with a few shots of an individual. MyStyle allows to reconstruct, enhance and edit images of a specific person, such that the output is faithful to the person's key facial characteristics. Given a small reference set of portrait images of a person (~ 100), we tune the weights of a pretrained StyleGAN face generator to form a local, low-dimensional, personalized manifold in the latent space. We show that this manifold constitutes a personalized region that spans latent codes associated with diverse portrait images of the individ
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Lu, Hanzhang, and Ji Qi. "Personalized Super Resolution with Face Prior." Applied and Computational Engineering 95, no. 1 (2024): 141–50. http://dx.doi.org/10.54254/2755-2721/95/2024ch0052.

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Face Super-Resolution (FSR) is a critical technology in computer vision that aims to reconstruct high-resolution facial images from low-resolution inputs. Despite recent advancements, current FSR methods struggle to accurately reconstruct personalized and detailed features. This paper proposes a novel FSR approach that addresses these challenges through a personalized feature extraction and fusion framework. Our method integrates a U-Net based downsampling mechanism to extract individual- specific features from high-resolution reference images, which are then fused with a pre-trained Generativ
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Cherepkova, Olga, Seyed Ali Amirshahi, and Marius Pedersen. "Individual Contrast Preferences in Natural Images." Journal of Imaging 10, no. 1 (2024): 25. http://dx.doi.org/10.3390/jimaging10010025.

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This paper is an investigation in the field of personalized image quality assessment with the focus of studying individual contrast preferences for natural images. To achieve this objective, we conducted an in-lab experiment with 22 observers who assessed 499 natural images and collected their contrast level preferences. We used a three-alternative forced choice comparison approach coupled with a modified adaptive staircase algorithm to dynamically adjust the contrast for each new triplet. Through cluster analysis, we clustered observers into three groups based on their preferred contrast rang
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Dissertations / Theses on the topic "Personalized images"

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Nguyen, Thi Hong Hanh [Verfasser]. "Recommending Tags for Images: Deep Learning Approaches for Personalized Tag Recommendation / Thi Hong Hanh Nguyen." Hildesheim : Universität Hildesheim, 2018. http://d-nb.info/1171987838/34.

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Осіпенко, Т. В., Олена Володимирівна Попова, Елена Владимировна Попова та Olena Volodymyrivna Popova. "Міфологічна складова персоніфікації в поезії Марка Стренда". Thesis, Сумський державний університет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46651.

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Персоніфіковані образи – не лише словесна оболонка уяви автора. Це дещо глибше й сакральніше явище. Об’єкти уособлення, такі як вітер, місяць, сонце, тінь, світло, темрява та інше мають багатогранне міфологічне підгрунтя, укорінене в художню канву поетичних творів.
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Pereira, Filho Sebasti?o Faustino. "Micarande: festa do povo?" Universidade Federal do Rio Grande do Norte, 2006. http://repositorio.ufrn.br:8080/jspui/handle/123456789/13528.

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Made available in DSpace on 2014-12-17T14:19:43Z (GMT). No. of bitstreams: 1 SebastiaoFF.pdf: 448629 bytes, checksum: 4ac6abf16ea8a1b338a59557d2bea8df (MD5) Previous issue date: 2006-05-12<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Contemporary politics have assumed new configurations both in the way they are carried out and in the content publicized. Nevertheless, some practices are unchanged since antiquity. But the advent of the media and its circumstantial molding of current society have forced politics to make some changes to adapt both to mass media and to the ne
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Rodríguez, Arenas Carolina. "Personalidad, experiencias e imagen de marcas de Retail." Tesis, Universidad de Chile, 2003. http://www.repositorio.uchile.cl/handle/2250/108179.

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Memoria para optar al Titulo Profesional de Ingeniero Comercial Mención Administración<br>En los últimos 5 años una de las áreas que ha sufrido mayor tasa de inversión en las empresas en el ámbito nacional e internacional ha sido aquellas que busca mejorar la relación con los clientes. En este sentido, el negocio del Retail es el sector que más importancia le da al cliente, ya que son ellos quienes toman la decisión final. Esta decisión va desde la opción de entrar o no a una determinada tienda, y decidir exactamente qué y cuánto comprar. Desde esta perspectiva, este proceso está relacionado c
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Silva, Soto Daniel Alejandro. "Personalised finite-element models using image registration in parametric space." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/8584/.

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Heart failure (HF) is a chronic clinical condition in which the heart fails to pump enough blood to meet the metabolic needs of the body. Patients have reduced physical performance and can see their quality of life severely impaired; around 40-70% of patients diagnosed of HF die within the first year following diagnosis. It is underestimated that 900,000 people in the UK currently suffer from HF. HF has a big impact on the NHS, representing 1 million inpatient bed, 5% of all emergency medical admission to hospitals and costs 2% of the total NHS budget. The annual incidence of new diagnoses is
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Almquist, Camilla. "Implementation of an automated,personalized model of the cardiovascularsystem using 4D Flow MRI." Thesis, Linköpings universitet, Avdelningen för kardiovaskulär medicin, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154496.

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A personalized cardiovascular lumped parameter model of the left-sided heart and thesystemic circulation has been developed by the cardiovascular medicine research groupat Linköping University. It provides information about hemodynamics, some of whichcould otherwise only have been retrieved by invasive measurements. The framework forpersonalizing the model is made using 4D Flow MRI data, containing volumes describinganatomy and velocities in three directions. Thus far, the inputs to this model have beengenerated manually for each subject. This is a slow and tedious process, unpractical touse c
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Patte, Cécile. "Personalized pulmonary mechanics : modeling, estimation and application to pulmonary fibrosis." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX076.

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Les poumons réalisent leur fonction vitale d'échanges gazeux grâce notamment à leur élasticité et leur porosité. La fibrose pulmonaire idiopathique (FPI), une maladie pulmonaire interstitielle, impacte fortement la mécanique pulmonaire, soulevant des problématiques cliniques. L'objectif de ce travail est d'améliorer la compréhension et le diagnostic de la FPI en s'appuyant sur une modélisation poromécanique du poumon, personnalisée grâce à des données d'imagerie médicale. Dans une première partie, une analyse bibliographique fait l'état de l'art de la physiologie pulmonaire en relation avec le
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Lindo, Noriega Patricia. "El papel del logotipo como elemento evocador de una personalidad de marca." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2005. http://hdl.handle.net/10757/576106.

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La presente tesis toma como punto central a los logotipos y evalúa el rol que cumplen hoy dentro de las relaciones marca/consumidor/mercado. A través de tres capítulos se describen y analizan todos los aspectos que se relacionan con los logotipos y su inserción en la comunicación de una identidad y personalidad de marca. Se presentan visiones planteadas por la historia, el diseño gráfico y el marketing como marco teórico; para luego, analizar un caso práctico: Nike; y comprobar, en la realidad limeña, lo planteado en la teoría. Finalmente, este estudio permitió establecer puntos importantes s
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Tang, Danny M. Eng Massachusetts Institute of Technology. "Empowering novices to understand and use machine learning with personalized image classification models, intuitive analysis tools, and MIT App Inventor." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123130.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 129-131).<br>As machine learning permeates our society and manifests itself through commonplace technologies such as autonomous vehicles, facial recognition, and online store recommendations, it is necessary that the increasin
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Pereañez, Marco. "Enlargement, subdivision and individualization of statistical shape models: Application to 3D medical image segmentation." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/441754.

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This thesis presents three original and complementary approaches to enhance the quality of Statistical Shape Models (SSMs), that improve the accuracy of medical image segmentation in challenging applications. First, we enhance the statistical richness of SSMs by developing a technique capable of merging the shape representations and statistical properties of several pre-existing models with no original or additional raw data. Second, we enhance the geometrical quality of SSMs by developing a framework for modeling simultaneously both global and local characteristics of highly complex and
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Books on the topic "Personalized images"

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A, Luis Fernando Hoyos. Imagen paterna en la estructuración de la personalidad. AZ Editores, 1987.

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Hernandez, Helen. Manual de personalidad e imagen: Brilla con luz propia. Editorial Pax México, 2007.

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Sánchez, Clemente Crevillén. Derechos de la personalidad: Honor, intimidad personal y familiar y propia imagen en la jurisprudencia. Actualidad Editorial, 1994.

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Kerckhoffs, Roy C. P. Patient specific modeling of the cardiovascular system: Technology-driven personalized medicine. Springer, 2010.

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Smits, Jasper A. J., Mark B. Powers, and Michael W. Otto. Personalized Exposure Therapy. Oxford University Press, 2019. http://dx.doi.org/10.1093/med-psych/9780190602451.001.0001.

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This book comprehensively covers empirically supported exposure methods (e.g., in vivo exposure, imaginal exposure, and interoceptive exposure) to a broad array of mental health symptoms. This transdiagnostic approach emphasizes the importance of a person-centered application, putting case formulation at the center of intervention planning and implementation. Unlike a rigid manualized method, this book provides clinicians with a framework allowing for a more flexible delivery of exposure therapy. The book begins with an introduction to the aims and guiding principles of person-centered exposur
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Superheros Coloring Book ,Happy Kids +4: Superheros Collection of LARGE PRINT Superheros Coloring Images Personalized. Independently Published, 2021.

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Busu, Oprea-Valentin. Psychosocial Characteristics of Images of Power in Mass Communication. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062812621.

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Different categories of specialists in social sciences as well as different categories of proffesional communicators will find here a synthetic picture of the more significant classical and modern theories regarding the role of power as a ”Fundamental phenomenon that regulates and organizes social life”, and as it appears to us: a brute force, an alluring mermaid, a possessor of saving solutions and skills etc. Also, because we live in a time when direct communication is outdated, the author analyzes the media system mainly under the aspect of image construction or personalized representation
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PERSONALIZED IMAGE SEARCHING. JAYAMATHA ENGINEERING COLLGE, 2014.

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El Feo Una Novela Sobre Personalidad E Imagen. Ediciones Selectas Diamantes, 2011.

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Farnan, Sheryl A., and Elaine Stone. The Dynamics of Fashion. 6th ed. Bloomsbury Publishing Inc, 2023. http://dx.doi.org/10.5040/9781501373039.

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For fashion students who want to be both in the now and in the know! The Dynamics of Fashion, Sixth Edition, has the latest facts and figures, and the most current theories in fashion development, production, and merchandising, giving you the foundation you need in the industry. It offers hundreds of real-life examples of leading brands and industry trends, to show you fashion careers and how to apply what you learn. The book also covers sustainable fashion, wearable technology, social media, and more in detail. An online STUDIO includes self-quizzes, flashcards, and links to videos. New to th
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Book chapters on the topic "Personalized images"

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Tufegdzic, Milica, and Miroslav D. Trajanovic. "Building 3D Surface Model of the Human Hip Bone from 2D Radiographic Images Using Parameter-Based Approach." In Personalized Orthopedics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98279-9_5.

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Imran, Abdullah-Al-Zubaer, Sen Wang, Debashish Pal, et al. "Personalized CT Organ Dose Estimation from Scout Images." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87202-1_47.

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Szmul, Adam, Tahreema Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, and Bartłomiej W. Papież. "XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model." In Image Analysis for Moving Organ, Breast, and Thoracic Images. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00946-5_26.

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Nguyen, Hanh T. H., Martin Wistuba, and Lars Schmidt-Thieme. "Personalized Tag Recommendation for Images Using Deep Transfer Learning." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71246-8_43.

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Yamasaki, T., A. Gallagher, T. Chen, and K. Aizawa. "Personalized Travel Navigation and Photo-Shooting Navigation Using Large-Scale Geotags." In Multimodal Location Estimation of Videos and Images. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09861-6_10.

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Kumar, Amar, Anjun Hu, Brennan Nichyporuk, et al. "Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers." In Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19660-7_11.

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Popa, Dragos-Laurentiu, Alina Duta, Gabriel Buciu, Daniela Tarnita, and Daniela Vintila. "A Personalized Three-Dimensional Model of a Patient Using CT Images." In Proceedings of the International Conference on Mechanical Engineering (ICOME 2022). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-152-4_8.

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Panagiotou, Maria, Ioannis Papathanail, Lubnaa Abdur Rahman, et al. "A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management." In Computer Analysis of Images and Patterns. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44240-7_8.

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Zhang, Cheng Chris, Sung-Bae Cho, and Sidney Fels. "MyView: Personalized Event Retrieval and Video Compositing from Multi-camera Video Images." In Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73345-4_63.

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Li, Yonglin, and Jianhua Tao. "Personalized Facial Animation Based on 3D Model Fitting from Two Orthogonal Face Images." In Affective Computing and Intelligent Interaction. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573548_126.

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Conference papers on the topic "Personalized images"

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S, Anantha Sivaprakasam, Surendhar S, and Tarunvishaal L. "Abdominal Organ Segmentation in MRI Images with Personalized Food Guidance." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883604.

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Elkhill, Connor, Ines A. Cruz-Guerrero, Jiawei Liu, et al. "Personalized Phenotype Encoding and Prediction of Pathological Head Development from Cross-Sectional Images." In 2024 20th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE, 2024. https://doi.org/10.1109/sipaim62974.2024.10783545.

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Bhatlawande, Shripad, Swati Shilaskar, Medha Wyawahare, Samruddhi Chavan, and Vikrant Deshmukh. "Personalized Wealth Management Website." In 2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN). IEEE, 2024. http://dx.doi.org/10.1109/icipcn63822.2024.00140.

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Zhao, Yan, Ping Zhong, and Xingbo Cao. "Research on personalised thangka image generation." In Second International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2025), edited by Fabio Tosti and Román Alvarez. SPIE, 2025. https://doi.org/10.1117/12.3067619.

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Karlsen, Randi, Najeeb Elahi, and Anders Andersen. "Personalized Recommendation of Socially Relevant Images." In the 8th International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3227609.3227672.

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Wang, Guolong, Junchi Yan, and Zheng Qin. "Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/133.

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The ever-increasing volume of visual images has stimulated the demand for organizing such data by aesthetic quality. Automatic and especially learning based aesthetic assessment methods have shown potential by recent works. Existing image aesthetic prediction is often user-agnostic which may ignore the fact that the rating to an image can be inherently individual. We fill this gap by formulating the personalized image aesthetic assessment problem with a novel learning method. Specifically, we collect user-image textual reviews in addition with visual images from the public dataset to organize
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Wu, Le, Lei Chen, Yonghui Yang, et al. "Personalized Multimedia Item and Key Frame Recommendation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/198.

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When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item can be represented as multiple fine-grained visual images (e.g., related images of the movie), personalized key frame recommendation is necessary in these applications to attract users' unique visual preferences. However, previous personalized key frame recommendation models relied on users' fine grained image behavior of multimedia items (e.g., user-image interaction behavior), which is often not available in real s
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Zhao, Sicheng, Hongxun Yao, Yue Gao, et al. "Predicting Personalized Emotion Perceptions of Social Images." In MM '16: ACM Multimedia Conference. ACM, 2016. http://dx.doi.org/10.1145/2964284.2964289.

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Kim, Doh-Suk, Scott Daly, Ludovic Malfait, Neel Chaudhari, and Jeffrey Riedmiller. "Hybrid Images for Personalized Media Streaming Optimization." In SMPTE Technical Conference. IEEE, 2023. http://dx.doi.org/10.5594/m002014.

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Nitzan, Yotam, Kfir Aberman, Orly Liba, et al. "Learning A Personalized Generative Prior For Face Images." In SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference. ACM, 2022. http://dx.doi.org/10.1145/3532719.3543215.

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Reports on the topic "Personalized images"

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Бережна, Маргарита Василівна. Psycholinguistic Image of Joy (in the Computer-Animated Film Inside Out). Psycholinguistics in a Modern World, 2021. http://dx.doi.org/10.31812/123456789/5827.

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The paper is focused on the correlation between the psychological archetype of a film character and the linguistic elements composing their speech. The Nurturer archetype is represented in the film Inside Out by the personalized emotion Joy. Joy is depicted as an antropomorphous female character, whose purpose is to keep her host, a young girl Riley, happy. As the Nurturer, Joy is completely focused on Riley’s happiness, which is expressed by lexico-semantic group ‘happy’, positive evaluative tokens, exclamatory sentences, promissive speech acts, and repetitions. She needs the feeling of conne
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Castro Salgado, osé William, and Liliana Santamaria Ariza. Propuesta de identidad institucional UMNG. Universidad Militar Nueva Granada, 2024. http://dx.doi.org/10.18359/docinst.7379.

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Las organizaciones operan en un entorno altamente dinámico, caracterizado por la presencia de productos similares o sustitutos, lo que impulsa a cada una a desarrollar su ventaja competitiva por medio de componentes que les confieren un diferencial único. En este contexto, la identidad emerge como un elemento primordial que posibilita la diferenciación entre instituciones y genera una característica sin gular que define su esencia. Existen múltiples perspectivas que abordan el concepto de identidad, desde miradas diferenciales entre ellas: Perspectiva social: se centra en la visión que un indi
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