26 citations · 47 across the 5 of their papers we have counts for
5 papers
An Automotive Case Study on the Limits of Approximation for Object Detection
Martí Caro, Hamid Tabani, Jaume Abella +9
The accuracy of camera-based object detection (CBOD) built upon deep learning is often evaluated against the real objects in frames only. However, such simplistic evaluation ignore…
At-Scale Evaluation of Weight Clustering to Enable Energy-Efficient Object Detection
Martí Caro, Hamid Tabani, Jaume Abella
Accelerators implementing Deep Neural Networks for image-based object detection operate on large volumes of data due to fetching images and neural network parameters, especially if…
Improving the Efficiency of Transformers for Resource-Constrained Devices
Hamid Tabani, Ajay Balasubramaniam, Shabbir Marzban +2
Transformers provide promising accuracy and have become popular and used in various domains such as natural language processing and computer vision. However, due to their massive n…
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices
Hamid Tabani, Ajay Balasubramaniam, Elahe Arani +1
From computer vision and speech recognition to forecasting trajectories in autonomous vehicles, deep learning approaches are at the forefront of so many domains. Deep learning mode…
Performance Analysis and Optimization Opportunities for NVIDIA Automotive GPUs
Hamid Tabani, Fabio Mazzocchetti, Pedro Benedicte +2
Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) bring unprecedented performance requirements for automotive systems. Graphic Processing Unit (GPU) based platf…