7 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.AR2025★ 7 cited
EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer
Yi Chen, Jie Lou, Malte Wabnitz +2
Depthwise separable convolution (DSC) has emerged as a crucial technique, especially for resource-constrained devices. In this paper, we propose a dual-engine for the DSC hardware…
cs.LG2025★ 7 cited
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh, Lyubov Dudchenko, Justus Viga +1
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these models are not yet wi…
cs.LG2021
Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs
Cecilia Latotzke, Johnson Loh, Tobias Gemmeke
Machine-learning classifiers provide high quality of service in classification tasks. Research now targets cost reduction measured in terms of average processing time or energy per…