3 citations · 4 across the 4 of their papers we have counts for
4 papers
Mixed Precision PointPillars for Efficient 3D Object Detection with TensorRT
Ninnart Fuengfusin, Keisuke Yoneda, Naoki Suganuma
LIDAR 3D object detection is one of the important tasks for autonomous vehicles. Ensuring that this task operates in real-time is crucial. Toward this, model quantization can be us…
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
Ninnart Fuengfusin, Hakaru Tamukoh
Deploying deep neural networks (DNNs) in real-world environments poses challenges due to faults that can manifest in physical hardware from radiation, aging, and temperature fluctu…
Harden Deep Neural Networks Against Fault Injections Through Weight Scaling
Ninnart Fuengfusin, Hakaru Tamukoh
Deep neural networks (DNNs) have enabled smart applications on hardware devices. However, these hardware devices are vulnerable to unintended faults caused by aging, temperature va…
Network with Sub-Networks
Ninnart Fuengfusin, Hakaru Tamukoh
We introduce network with sub-networks, a neural network which its weight layers could be detached into sub-neural networks during inference. To develop weights and biases which co…