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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
, temporally consistent, and controllable video generation. A key focus is to develop conditional generation techniques to guide the Text-to-Video process using various complex inputs beyond a simple text prompt
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
collection and curation, privacy-aware data processing, automatic video-text alignment, and sign-language representation learning. A first objective will be to identify, collect, structure, and curate sign
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. Additional educational background in political theory/science/philosophy preferred. Some technical (video/audio production and editing) skills. Excellent French and, ideally, English. Specific Requirements
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data storage, enabling the encoding of text, images, videos, and more into nucleotide sequences. While DNA data storage technologies are advancing rapidly, computation on large DNA-encoded databases
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent
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details of two academic referees, and a 2-3 minutes video of motivation with a statement of their research interests. Their application will receive fair consideration. No discrimination will be made
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Television (CCTV) inspection videos, technical PDF reports, mapping data, and asset management databases, produced by different stakeholders and for various purposes. These data are often heterogeneous
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parties. Contribution to any project-level digital humanities tasks like dissemination of OA deliverables via HAL-SHS, creation of short videos, writing and publishing of shopr academic blog posts
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. The activity of the IMAGES team of the IDS department in LTCI covers many aspects of the processing, analysis and synthesis of digital images, volumes, and videos. A particularity of the team’s work is
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of algorithmic processing, and bias management. In the field of cultural heritage, the rapid democratization of image and 3D content generators has led to the widespread circulation of visually appealing