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ReGenVC: End-to-End Real-Time Generative Video Coding at Ultra-Low Bitrate
ReGenVC addresses the dual challenge in generative video coding of achieving ultra-low bitrate compression for talking-head videos while delivering.

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ReGenVC addresses the dual challenge in generative video coding of achieving ultra-low bitrate compression for talking-head videos while delivering.

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This paper addresses the challenge of improving autonomous computer-use agents (CUAs) deployed locally under strict hardware constraints, focusing on how.

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This paper addresses the challenge of long visual context in vision-language models (VLMs), where performance degrades as distractors increase and.

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This paper addresses a critical bottleneck in long-horizon multimodal reasoning—how to reliably retrieve relevant evidence from extensive video memory for.

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This paper addresses the challenge of classifying pathological scars—specifically, distinguishing keloids (KD) from hypertrophic scars (HS)—using clinical.

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This paper addresses the challenge of visualizing "Table 1" summary tables commonly used in social and health sciences to show sample background.

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This work addresses the challenge of creating customizable physics lab experiments using smartphones, focusing on circular motion studies.

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This paper addresses the problem of Scientific Inspiration Retrieval (SIR), a key first step in AI-driven scientific hypothesis generation.

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This paper addresses the underutilization of tabletop exercises (TTXs) in university cybersecurity education by introducing a technology-enhanced approach.

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This paper addresses persistent challenges in text-to-video diffusion generation related to temporally sparse visual artifacts such as motion collapse.

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This paper presents a new measurement of the X-ray luminosity function (XLF) of active galactic nuclei (AGN) using the large, deep eROSITA DR2 and eFEDS.

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This paper addresses the challenge of topology optimization (TO) for combined conduction-radiation heat transfer problems, which is critical for designing.