Results 11 to 20 of about 5,808,919 (294)
Religie w komiksach. Wstęp [PDF]
Images, 2023 Zdarza się, że gdy czytamy komiksy, to myślimy o religii, o jakimś jej aspekcie. Zdarza się również, że komiksy same w sobie, bez względu na treść, są dla nas źródłem przeżyć, które uznajemy przynajmniej za metafory doświadczen ...
Redakcja Images
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Images, 2023 W pierwszy dzień świąt Bożego Narodzenia, 25 grudnia 2021 roku, w swoim rodzinnym domu na Lubelszczyźnie zmarła dr Urszula Tes, autorka kilku tekstów wydrukowanych na łamach „Images”.
Redakcja Images
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Images, 2023 This issue of “Images” is entitled Ukraine in Flames, echoing the English-language adaptation of a renowned cinematic creation byUkrainian director Oleksandr Dovzhenko (1894–1956).
Redakcja Images
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(In)correct Narratives of the Middle East Cinema [PDF]
ImagesMiddle Eastern cinema, with its rich cultural heritage and diverse history, is an extremely intriguing and multifaceted area of research. This specific region is a meeting place of a variety of traditions, cultures, and religions, which is ...
Redakcja Images
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ImagesNa okładce niniejszego numeru „Images”, który oddajemy w ręce Czytelników, znajduje się kadr z reportażu autorstwa Bolesława Matuszewskiego, jednego z pionierów światowej kinematografii, teoretyka i praktyka filmowego medium.
Images Editorial Team
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Hypercomplex Image- to- Image Translation
2022 International Joint Conference on Neural Networks (IJCNN), 2022 Image-to-image translation (I2I) aims at transferring the content representation from an input domain to an output one, bouncing along different target domains. Recent I2I generative models, which gain outstanding results in this task, comprise a set of diverse deep networks each with tens of million parameters.
Eleonora Grassucci +3 more
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POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Forests are irreplaceable and are being studied extensively. Better forest inventory and understanding necessitate effective mapping, modeling, and automatic analysis.
D. Iwaszczuk +4 more
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Image-to-Image MLP-mixer for Image Reconstruction
CoRR, 2022 Neural networks are highly effective tools for image reconstruction problems such as denoising and compressive sensing. To date, neural networks for image reconstruction are almost exclusively convolutional. The most popular architecture is the U-Net, a convolutional network with a multi-resolution architecture.
Youssef Mansour +2 more
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