4 accepted papers
Cross-architecture migration of high-performance libraries dictates ecosystem readiness on emerging hardware. The challenge is twofold: disentangling library-scale dependencies and performance-critical kernels with ISA-specific SIMD intrinsics, often trading migration speed for peak performance. Whi…
3D Gaussian Splatting (3DGS) has recently demonstrated impressive capabilities in real-time novel view synthesis. However, the performance of 3DGS tends to degrade significantly when the quality of the initial point cloud is poor. Although subsequent research has successfully addressed the initializ…
One main challenge in time series anomaly detection for industrial IoT lies in the complex spatio-temporal couplings within multivariate data. However, as traditional anomaly detection methods focus on modeling spatial or temporal dependencies independently, resulting in suboptimal representation le…
Although increasing model size can enhance the adversarial robustness of deep neural networks, in resource-constrained environments, there exist critical sparsity constraints. While the recent robust pruning technologies show promising direction to obtain adversarially robust sparse networks, they p…