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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for multiple-object tracking," IEEE TPAMI, 2022. 4. L. Vaquero, Y. Xu, X. Alameda-Pineda, V. M. Brea, and M. Mucientes, "Lost and found: Overcoming detector failures in online multi-object tracking," ECCV, 2024
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE
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the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's protection of security-sensitive objects and
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stimulating the positive and sustainable behaviours needed to address ongoing environmental challenges. The research will be developed within the broader scientific objectives of NATURETIME. The specific focus
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to the activity. C2 Developing track record of research outputs compatible with enhancing the School’s research profile in accordance with School objectives. C3 Proven commitment to supporting
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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for Industry and Risk Management" CAP (Collaborative Acceleration Program) initiative, from the PostGenAI@Paris hub coordinated by Sorbonne Université. Objectives: The project addresses a central challenge in
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the same systematics identified in the observables. d) Estimation of cosmological and “nuisance” parameters using Bayesian methods. 4. The research activities provided for the post-doc assignment will
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features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers. Analyze large multimodal datasets