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out a rigorous scientific study aimed at comparing the performance of deep learning models in detecting complex visual anomalies. Take charge of the entire study, define the evaluation criteria and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world
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French National Institute for Health Research (INSERM) | Toulouse, Midi Pyrenees | France | 2 months ago
microscopy and live-cell imaging provide essential insights into tumour biology, invasion, and treatment response. Current techniques overcome the diffraction limit (~200 nm) and enable the visualization
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dedicated computing resources (3D visualization workstations, GPU servers). The research will be conducted in close collaboration with Philippe Nghe's team (Laboratory of Structural Cell Biology at École
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
are natural languages with their own grammar, structure, and rich visual-expressive features. Unlike spoken languages, they convey meaning through a combination of hand movements, body posture, facial
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one of the main bottlenecks in the development of robust and generalizable visual learning systems. This PhD project aims to explore the foundations of synthetic video generation for automated visual
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treatment response. Current techniques overcome the diffraction limit (~200 nm) and enable the visualization of structures at the nanometre scale (0.1–100 nm). The pioneering work of E. Betzig, S. Hell, and W
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emission), using tools developed at LISE as well as advanced artificial intelligence approaches. Identify and interpret fundamental mechanisms of corrosion, dissolution, and passivation in extreme