We have made significant progress towards building foundational video diffusion models. As these models are trained using large-scale unsupervised data, it has become crucial to adapt these models to ...
Abstract: Deep networks notoriously suffer from performance deterioration on previous tasks when learning from sequential tasks, i.e., catastrophic forgetting. Recent methods of gradient projection ...
Abstract: The phase-only null beamforming synthesis plays an important role in suppressing interference within radar systems. This problem poses a challenge as it involves nonconvex constraints, ...
1 State Grid Henan Electric Power Company Economic Research Institute, Zhengzhou, Henan, China 2 State Grid Henan Electric Power Company, Zhengzhou, Henan, China The challenges of limited sample size ...
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