research
∙
08/14/2021
A Survey on GAN Acceleration Using Memory Compression Technique
Since its invention, Generative adversarial networks (GANs) have shown o...
share
research
∙
04/27/2020
FORECASTER: A Continual Lifelong Learning Approach to Improve Hardware Efficiency
Computer applications are continuously evolving. However, significant kn...
research
∙
11/24/2019
Unsupervised Neural Sensor Models for Synthetic LiDAR Data Augmentation
Data scarcity is a bottleneck to machine learning-based perception modul...
research
∙
07/17/2019
End-to-end sensor modeling for LiDAR Point Cloud
Advanced sensors are a key to enable self-driving cars technology. Laser...
research
∙
05/17/2019
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous driving
In the autonomous driving domain, data collection and annotation from re...
research
∙
08/07/2018
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
Object detection and classification in 3D is a key task in Automated Dri...
research
∙
11/05/2017
Beyond Profiling: Scaling Profiling Data Usage to Multiple Applications
Profiling techniques are used extensively at different parts of the comp...
research
∙
09/14/2017
