Výsledky vyhledávání - "Image Processing and Computer Vision"

Volumetric Data Reduction in a Compressed Sensing Framework Autor Xu, X., Sakhaee, E., Entezari, A.

“…In this paper, we investigate compressed sensing principles to devise an in‐situ data reduction framework for visualization of volumetric datasets. We exploit…”
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Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization Autor Boulch, Alexandre, de La Gorce, Martin, Marlet, Renaud

“…This paper presents a method for the 3D reconstruction of a piecewise‐planar surface from range images, typically laser scans with millions of points. The…”
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An Objective Deghosting Quality Metric for HDR Images Autor Tursun, Okan Tarhan, Akyüz, Ahmet Oğuz, Erdem, Aykut, Erdem, Erkut

“…Reconstructing high dynamic range (HDR) images of a complex scene involving moving objects and dynamic backgrounds is prone to artifacts. A large number of…”
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The State of the Art in HDR Deghosting: A Survey and Evaluation Autor Tursun, Okan Tarhan, Akyüz, Ahmet Oğuz, Erdem, Aykut, Erdem, Erkut

“…Obtaining a high quality high dynamic range (HDR) image in the presence of camera and object movement has been a long‐standing challenge. Many methods, known…”
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Jointly Optimized Regressors for Image Super-resolution Autor Dai, D., Timofte, R., Van Gool, L.

“…Learning regressors from low‐resolution patches to high‐resolution patches has shown promising results for image super‐resolution. We observe that some…”
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A Survey on Data-Driven Video Completion Autor Ilan, S., Shamir, A.

“…Image completion techniques aim to complete selected regions of an image in a natural looking manner with little or no user interaction. Video Completion, the…”
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Realistic Speech-Driven Facial Animation with GANs Autor Vougioukas, Konstantinos, Petridis, Stavros, Pantic, Maja

“… This approach often requires post-processing using computer graphics techniques to produce realistic albeit subject dependent results…”
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Scale-aware Structure-Preserving Texture Filtering Autor Jeon, Junho, Lee, Hyunjoon, Kang, Henry, Lee, Seungyong

“…This paper presents a novel method to enhance the performance of structure‐preserving image and texture filtering. With conventional edge‐aware filters, it is…”
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Structure-Measure: A New Way to Evaluate Foreground Maps Autor Cheng, Ming-Ming, Fan, Deng-Ping

“…Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where…”
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Large Scale 3D Morphable Models Autor Booth, James, Roussos, Anastasios, Ponniah, Allan, Dunaway, David, Zafeiriou, Stefanos

“… The dataset that LSFM is trained on includes rich demographic information about each subject, allowing for the construction of not only a global 3DMM model but also models tailored for specific age…”
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Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer Autor Agushaka, Jeffrey O., Ezugwu, Absalom E., Abualigah, Laith

“…This study proposes a novel population-based metaheuristic algorithm called the Gazelle Optimization Algorithm (GOA), inspired by the gazelles’ survival…”
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FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention Autor Xiao, Guangxuan, Yin, Tianwei, Freeman, William T., Durand, Frédo, Han, Song

“…Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images…”
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A deep learning approach for Parkinson’s disease diagnosis from EEG signals Autor Oh, Shu Lih, Hagiwara, Yuki, Raghavendra, U., Yuvaraj, Rajamanickam, Arunkumar, N., Murugappan, M., Acharya, U. Rajendra

“… In this work, we have used the EEG signals of twenty PD and twenty normal subjects in this study…”
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Statistical Modeling of Craniofacial Shape and Texture Autor Dai, Hang, Pears, Nick, Smith, William, Duncan, Christian

“…) of the full human head. Our approach is the first to employ a template that adapts to the dataset subject before dense morphing…”
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DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation Using Limited Data: DomainStudio: Fine-tuning Diffusion Models for Domain-driven Autor Zhu, Jingyuan, Ma, Huimin, Chen, Jiansheng, Yuan, Jian

“… Unfortunately, they are still vulnerable to overfitting when fine-tuned on limited data. Existing works have explored subject-driven generation with text-to-image (T2I…”
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Optimizing epileptic seizure recognition performance with feature scaling and dropout layers Autor Omar, Ahmed, Abd El-Hafeez, Tarek

“… The study employed a dataset of Electroencephalography (EEG) recordings from multiple subjects and trained nine deep learning architectures with different preprocessing techniques…”
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A review on COVID-19 forecasting models Autor Rahimi, Iman, Chen, Fang, Gandomi, Amir H.

“…, which were performed on COVID-19 data from the Scopus and Web of Science databases. For the above-mentioned analysis, keywords and subject areas are addressed…”
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Seamless Video Stitching from Hand-held Camera Inputs Autor Lin, Kaimo, Liu, Shuaicheng, Cheong, Loong-Fah, Zeng, Bing

“…Images/videos captured by portable devices (e.g., cellphones, DV cameras) often have limited fields of view. Image stitching, also referred to as mosaics or…”
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DenseCut: Densely Connected CRFs for Realtime GrabCut Autor Cheng, M. M., Prisacariu, V. A., Zheng, S., Torr, P. H. S., Rother, C.

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Laplacian colormaps: a framework for structure-preserving color transformations Autor Eynard, D., Kovnatsky, A., M. Bronstein, M.

“…Mappings between color spaces are ubiquitous in image processing problems such as gamut mapping, decolorization, and image optimization for color‐blind people…”
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