2 papers
cs.RO2026
Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping
Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman +1
High-fidelity 3D occupancy mapping is essential for many edge-based applications (such as AR/VR and autonomous navigation) but is limited by power constraints. We present Gleanmer,…
cs.LG2025
DecTrain: Deciding When to Train a Monocular Depth DNN Online
Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman +1
Deep neural networks (DNNs) can deteriorate in accuracy when deployment data differs from training data. While performing online training at all timesteps can improve accuracy, it…