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This paper addresses a specific gap in topology-aware image segmentation: classical simple-point topology is defined on binary images and is non-differentiable, which makes it awkward to use with m…
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Fake3DGS tackles a gap the 2D deepfake literature mostly ignores: once scene edits happen in a 3D representation, the resulting renders can stay geometrically and photometrically consistent across …
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This paper addresses the practical and computational complexity challenges inherent to the multi-depot vehicle routing problem (MDVRP), a critical combinatorial optimization problem in logistics
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This paper tackles a practical bottleneck in gravitational-wave astronomy: how to narrow down the host galaxy of a compact binary merger when no electromagnetic counterpart is available and the loc…
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This paper investigates whether YouTube's recommendation algorithm produces gendered asymmetries in political information exposure
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GenWildSplat targets a very specific failure mode in sparse-view 3D reconstruction: real-world photo collections are usually unposed, have only a handful of useful views, and mix illumination chang…
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This paper addresses the challenging problem of constrained maximum-entropy exploration in reinforcement learning (RL), where an agent seeks a policy that maximizes the entropy of the induced state…
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This paper addresses the critical problem of authenticating bullion coins, which is increasingly challenging due to the sophistication of counterfeit coins that are visually nearly indistinguishabl…
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This paper tackles a specific failure mode in reflective journaling: people often write text that does not match how they sound
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This paper tackles a very specific bottleneck in sampling-based approximate query processing: index-assisted online aggregation can give low-latency answers, but for skewed data or selective predic…
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This paper asks a narrower question than “do players like AI in games?” It argues that player acceptance depends on the site of intervention: the same AI label is evaluated differently when it driv…
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This paper addresses the challenging problem of face recognition in an extremely limited labeled-data regime: only one labeled image of a single person is available, and all other face images from …
