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Video Anomaly Detection (VAD) is challenging due to the scarcity of anomalous data and significant visual variability in surveillance footage.
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This paper addresses the problem of developing algorithmic strategic approaches for a novel variant of Auction Bridge played with three active bidders.
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This paper investigates how LLM-based AI agents built with agentic frameworks that externalize identity, memory, and disposition into editable files.
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This paper addresses the challenge of securing high-stakes digital assessments against unauthorized screen capture or sharing, while maintaining.
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This paper addresses the challenge of securely and verifiably delegating authority from human users to autonomous AI agents using biometric authentication.
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This paper addresses the long-standing challenge in handwriting generation of unifying online trajectory-based and offline image-based methods into a.
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This paper investigates a novel attack vector on adaptive conformal prediction systems used in ECG monitoring, specifically targeting their temporal.
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This paper addresses the problem of infrared image super-resolution (IISR), which is critical for downstream machine perception tasks such as object.
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This paper tackles the challenging problem of automatically reproducing web GUI bugs from natural-language bug reports, a critical step for debugging and.
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LiveEvalBench addresses the critical gap in evaluating large language model (LLM)-generated frontend web projects by moving beyond traditional static.
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This paper addresses the challenging problem of decompiling WebAssembly (Wasm) binaries into readable, high-level C code with accurate type recovery.
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ReputationChain addresses a fundamental gap in blockchain-enabled supply chains: while blockchain ensures tamper-proof recording of interactions, it does.
