Abstract: We propose a co-part segmentation method that takes a set of point clouds of the same category as input where neither a ground truth label nor a prior network is required. With difficulties ...

Abstract: In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based ...

Abstract: Rapid and accurate segmentation of 3-D point clouds is critical for optimizing battery-swapping robots and ensuring precise assembly. To address the challenges of computational inefficiency ...

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Aquablue opened its new headquarters in Morristown, New Jersey, having expanded by 40%+ in 2025, strengthening their leadership and operational capabilities. As enterprises scale and digital ...

Abstract: In this letter, we consider a multi-stream carrier aggregation and coordinated multi-point enabled multi-input multi-output network, where each user can simultaneously associate with ...

Abstract: Federated learning empowers privacy-preserving, multi-party secure model training without the necessity of sharing raw data. In recent years, knowledge distillation has emerged as a ...

Abstract: Utilizing messages from teammates can improve coordination in cooperative multiagent reinforcement learning (MARL). Previous works typically combine raw messages of teammates with local ...

Abstract: Cross-view geo-localization of satellite and unmanned aerial vehicles (UAVs) imagery has attracted extensive attention due to its tremendous potential for global navigation satellite system ...

Abstract: Place recognition is essential for achieving closedloop or global positioning in autonomous vehicles and mobile robots. Despite recent advancements in place recognition using 2D cameras or ...