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arXiv:2603.03935v1 Announce Type: new Abstract: Open-set semantic mapping enables language-driven robotic perception, but current instance-centric approaches are bottlenecked by context-depriving and computationally expensive crop-based feature...
arXiv:2603.03936v1 Announce Type: new Abstract: Data approximation is essential in fields such as geometric design, numerical PDEs, and curve modeling. Moving Least Squares (MLS) is...
arXiv:2603.03938v1 Announce Type: new Abstract: The explosive growth of short video platforms has generated a massive surge in global traffic, imposing heavy financial burdens on...
arXiv:2603.03939v1 Announce Type: new Abstract: Multimodal industrial anomaly detection benefits from integrating RGB appearance with 3D surface geometry, yet existing \emph{unsupervised} approaches commonly rely on...
arXiv:2603.03940v1 Announce Type: new Abstract: Beamforming is a fundamental technology that not only enhances communication efficiency but also lays the foundation for massive multiple-input multiple-output~(MIMO)...
arXiv:2603.03941v1 Announce Type: new Abstract: Diffusion-weighted imaging (DWI) can support lesion detection and characterization in breast magnetic resonance imaging (MRI), however especially high b-value diffusion-weighted...
arXiv:2603.03942v1 Announce Type: new Abstract: Robots operating in shared human environments must not only navigate, interact, and detect their surroundings, they must also interpret and...
arXiv:2603.03944v1 Announce Type: new Abstract: Spatial reasoning, the ability to understand spatial relations, causality, and dynamic evolution, is central to human intelligence and essential for...
arXiv:2603.03945v1 Announce Type: new Abstract: Link prediction models are increasingly used to recommend interactions in evolving networks, yet their impact on network structure is typically...
arXiv:2603.03946v1 Announce Type: new Abstract: Generative models hold great promise for accelerating material discovery but are often limited by their inflexible single-stage generative process in...
arXiv:2603.03948v1 Announce Type: new Abstract: In cell-free massive MIMO, centralized precoding is {theoretically known} to {remarkably} outperform its distributed counterparts, albeit {with} high implementation complexity....
arXiv:2603.03953v1 Announce Type: new Abstract: Safe visual navigation is critical for indoor mobile robots operating in cluttered environments. Existing benchmarks, however, often neglect collisions or...
arXiv:2603.03955v1 Announce Type: new Abstract: Post-training with reinforcement learning (RL) has recently shown strong promise for advancing multimodal agents beyond supervised imitation. However, RL remains...
arXiv:2603.03956v1 Announce Type: new Abstract: Supervised and unsupervised homography estimation methods depend on image pairs tailored to specific modalities to achieve high accuracy. However, their...
arXiv:2603.03957v1 Announce Type: new Abstract: Despite rapid commercialization of surgical robots, their autonomy and real-time decision-making remain limited in practice. To address this gap, we...
arXiv:2603.03959v1 Announce Type: new Abstract: Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool...
arXiv:2603.03960v1 Announce Type: new Abstract: Achieving human-level dexterity in robots via imitation learning from heterogeneous datasets is hindered by the challenge of cross-embodiment skill transfer,...
arXiv:2603.03961v1 Announce Type: new Abstract: Many diagnostic and therapeutic clinical tasks for prostate cancer increasingly rely on multi-parametric MRI. Automating these tasks is challenging because...
arXiv:2603.03963v1 Announce Type: new Abstract: Dynamic link prediction plays a crucial role in diverse applications including social network analysis, communication forecasting, and financial modeling. While...
arXiv:2603.03964v1 Announce Type: new Abstract: We present \textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-perfect Minecraft skins from arbitrary character concepts. BLOCK decomposes the...
arXiv:2603.03965v1 Announce Type: new Abstract: This paper proposes an adaptive modular geometric control framework for robotic manipulators. The proposed methodology decomposes the overall manipulator dynamics...
arXiv:2603.03967v1 Announce Type: new Abstract: Despite significant progress has been made in image deraining, we note that most existing methods are often developed for only...
arXiv:2603.03968v1 Announce Type: new Abstract: Nominal techniques provide a mathematically principled approach to dealing with names and variable binding in programming languages. This paper explores...
arXiv:2603.03969v1 Announce Type: new Abstract: Learning versatile, fine-grained representations from irregular event streams is pivotal yet nontrivial, primarily due to the heavy annotation that hinders...