3 accepted papers
Aerial-Ground Person Re-IDentification (AGPReID) aims to extract identity-discriminative representations from heterogeneous perspectives across different platforms in complex real-world environments. However, existing methods primarily focus on visual appearance modeling and make insufficient use of
We examine a private ADMM variant for (strongly) convex objectives which is a primal-dual iterative method. Each iteration has a user with a private function used to update the primal variable, masked by Gaussian noise for local privacy, without directly adding noise to the dual variable. Privacy am…
Object detection is a fundamental task in the field of computer vision, and one of its essential requirements is high-quality feature fusion. Previous works have made various efforts in this regard: CNN-based detectors use convolutional blocks to fuse local features and dense prior knowledge to pred…