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Found 6 papers, 2 papers with code
Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads
However, as the complexity of Deep convolutional neural networks (DNNs) grows, we need to design a manycore architecture with multiple ReRAM-based processing elements (PEs) on a single chip.
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$
We propose PanoHead, the first 3D-aware generative model that enables high-quality view-consistent image synthesis of full heads in $360^\circ$ with diverse appearance and detailed geometry using only in-the-wild unstructured images for training.
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
To bridge the gap, we present mRI, a multi-modal 3D human pose estimation dataset with mmWave, RGB-D, and Inertial Sensors.
ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
The proposed framework uses an efficient iterative algorithm to compute initial energy allocations at the beginning of a day.
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide.
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks
The typical approach is training a HAR classifier offline with known users and then using the same classifier for new users.
