In the field of spatial computing, one of the most essential tasks is the pose estimation of 3D
objects. While rigid transformations of arbitrary 3D objects are relatively hard to detect due to …

Readmissions among Medicare beneficiaries are a major problem for the US healthcare
system from a perspective of both healthcare operations and patient caregiving outcomes …

This paper addresses the challenge of efficiently determining the optimal path in complex
warehouse layouts while enabling real-time decision-making. We introduce a novel …

Inverse reinforcement learning (IRL) aims to learn a reward function and a corresponding
policy that best fit the demonstrated trajectories of an expert. However, current IRL works …

Solar trajectory monitoring is a pivotal challenge in solar energy systems, underpinning
applications such as autonomous energy harvesting and environmental sensing. A …

Safety is a critical concern for urban flights of autonomous Unmanned Aerial Vehicles. In
populated environments, risk should be accounted for to produce an effective and safe path …

Semi-supervised learning (SSL) leverages limited labeled and abundant unlabeled data but
often faces challenges with data imbalance, especially in 3D contexts. This study …

Safety is extremely important for urban flights of autonomous Unmanned Aerial Vehicles
(UAVs). Risk-aware path planning is one of the most effective methods to guarantee the …

This paper introduces" SeamCarver," a LLM-enhanced method that redefines image
resizing. SeamCarver addresses the limitations of traditional seam carving with static pre …