AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work innovatively investigate AI-generated image detection using bit-planes, and introduces the bit-reversed image, and proposes a simple yet effective pipeline consisting of construction of bit-reversed images, gradient-based patch selection and a convolutional classifier.
This work formulates AI-generated video attribution as an instance retrieval task, and design a generative fingerprint-based pipeline, which achieves strong performance in both AI-generated video detection and attribution.
This letter presents PrismAD, a decoupled end-to-end autonomous driving framework based on a Semantic Mixture-of-Planners that exhibits competitive performance on the nuScenes open-loop dataset and NeuroNCAP closed-loop benchmark.
This work proposes GenPrior, the first framework to exploit generative priors from pre-trained Text-to-Motion (T2M) models for ZSAR, and introduces Dispersion-Gated Feature Fusion, which distills kinematic prototypes and intra-class dispersion from generative motion sequences and employs a learned gating network to ada...
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