3 papers
cs.CV2026
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…
cs.LG2024
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…
cs.LG2024
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…