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Southeast University, Technical University of Munich
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UAR-Net achieves state-of-the-art image restoration from adverse weather by effectively modeling both global interactions and local structures, all while estimating predictive uncertainty.
Transforming a 6-DoF pose estimation problem into a 4-DoF challenge leads to significant efficiency gains and improved accuracy in robotic applications.
