Search Results for author:
Found 6 papers, 1 papers with code
Optimizing IoT-Based Asset and Utilization Tracking: Efficient Activity Classification with MiniRocket on Resource-Constrained Devices
Known for its accuracy, scalability, and fast training for time-series classification, in this paper, it is proposed as a TinyML algorithm for inference on resource-constrained IoT devices.
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform
Designing Deep Neural Networks (DNNs) running on edge hardware remains a challenge.
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo
The problem of estimating a surface shape from its observed reflectance properties still remains a challenging task in computer vision.
Efficient Blind-Spot Neural Network Architecture for Image Denoising
Standard denoising techniques, which use deep neural networks at their core, require pairs of clean and noisy images for its training.
Embedded Deep Learning for Sleep Staging
The rapidly-advancing technology of deep learning (DL) into the world of the Internet of Things (IoT) has not fully entered in the fields of m-Health yet.
Globally Optimal Cell Tracking using Integer Programming
We propose a novel approach to automatically tracking cell populations in time-lapse images.
