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This paper addresses the complex challenge of capturing and refining motion data for collaborative multi-human object interactions (MHOI), where both human-human and human-object dynamics coexist
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This work addresses a crucial gap in cybersecurity machine learning research — the lack of publicly available, multi-source security log datasets labeled with fine-grained MITRE ATT&CK technique ann…
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PreAct addresses the inefficiency of contemporary computer-using agents that repeatedly solve tasks from scratch, incurring full perception and reasoning overhead each time
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PyPeakRankR addresses a key gap in regulatory genomics workflows by providing a standardized, reproducible, and extensible tool to extract a diverse set of peak-level features from chromatin access…
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This paper addresses the challenging problem of realistic and controllable 3D face re-aging, which modifies the apparent age of a 3D face model while preserving identity and multi-view consistency
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This paper tackles a critical gap in GNSS interference impact assessment by explicitly incorporating receiver-specific front-end characteristics into the computation of the Spectral Separation Coef…
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This paper addresses the significant challenge of Website Fingerprinting (WF) attacks losing accuracy when deployed in real-world conditions due to distributional shifts, such as temporal changes, …
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This white paper addresses the fundamental challenge of understanding massive star formation at the innermost scales (≲100 au), where accretion, ejection, disk fragmentation, and multiplicity are e…
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This paper addresses the critical challenge of scalable, reliable, and clinically aligned evaluation for personal health agents (PHAs) powered by large language models (LLMs)
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This paper addresses a novel security blind spot in agent skill scanners used for LLM-based systems
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This paper addresses the critical problem of political polarization in online discourse, which threatens democratic processes and social cohesion
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This paper addresses the challenge of truly unified multimodal modeling that integrates both visual understanding and generation into a single coherent system
