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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . What we offer A doctoral research position in a timely and socially meaningful
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. Research and technology transfer experience in 3D reconstruction, localization, and map building from colonoscopy video sequences. Responsibilities: Research and implementation of visual SLAM (VSLAM) systems
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intelligence. The successful candidate will contribute to the implementation of human behavioural experiments using markerless video tracking and AI-based human pose estimation within an existing multi-camera
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, inspiring education and (inter)national cooperation. Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce
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? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto: https://www.aalto.fi/en/careers
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program, including complementary intelligence, open-endedness, and the intersection of AI with for example video games, design, creativity, and philosophy. Who we are looking for The following requirements
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research assistance to the Chair Produce audiovisual material for the GLOBALEUTY website, including the production of thematic podcasts, informative videos, short blogs and commentary on EU foreign policy
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situational hotspots across work routines in different worker contexts. The postdoc will work closely together with four other PhD’s that will analyze video recorded encounters between citizens and frontline
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to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video