Efficient hardware architectures for accelerating deep neural networks: Survey
In the modern-day era of technology, a paradigm shift has been witnessed in the areas
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep …
A systematic literature review on hardware implementation of artificial intelligence algorithms
Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
Face Detection and Segmentation Based on Improved Mask R‐CNN
K Lin, H Zhao, J Lv, C Li, X Liu… - Discrete dynamics in …, 2020 - Wiley Online Library
Deep convolutional neural networks have been successfully applied to face detection
recently. Despite making remarkable progress, most of the existing detection methods only …
recently. Despite making remarkable progress, most of the existing detection methods only …
A survey of methods for analyzing and improving GPU energy efficiency
Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …
applications of GPUs. However, this trend has also led to a dramatic increase in their power …
Driver yawning detection based on subtle facial action recognition
Various investigations have shown that driver fatigue is the main cause of traffic accidents.
Research on the use of computer vision techniques to detect signs of fatigue from facial …
Research on the use of computer vision techniques to detect signs of fatigue from facial …
Adaptive threshold non-Pareto elimination: Re-thinking machine learning for system level design space exploration on FPGAs
P Meng, A Althoff, Q Gautier… - 2016 Design, Automation …, 2016 - ieeexplore.ieee.org
One major bottleneck of the system level OpenCL-to-FPGA design tools is their extremely
time consuming synthesis process (including place and route). The design space for a …
time consuming synthesis process (including place and route). The design space for a …
Scalable-effort classifiers for energy-efficient machine learning
Supervised machine-learning algorithms are used to solve classification problems across
the entire spectrum of computing platforms, from data centers to wearable devices, and …
the entire spectrum of computing platforms, from data centers to wearable devices, and …
[HTML][HTML] An efficient and cost effective FPGA based implementation of the Viola-Jones face detection algorithm
We present an field programmable gate arrays (FPGA) based implementation of the popular
Viola-Jones face detection algorithm, which is an essential building block in many …
Viola-Jones face detection algorithm, which is an essential building block in many …
500-fps face tracking system
In this paper, we propose a high-speed vision system that can be applied to real-time face
tracking at 500 fps using GPU acceleration of a boosting-based face tracking algorithm. By …
tracking at 500 fps using GPU acceleration of a boosting-based face tracking algorithm. By …
Pinto: enabling video privacy for commodity iot cameras
H Yu, J Lim, K Kim, SB Lee - Proceedings of the 2018 ACM SIGSAC …, 2018 - dl.acm.org
With various IoT cameras today, sharing of their video evidences, while benefiting the public,
threatens the privacy of individuals in the footage. However, protecting visual privacy without …
threatens the privacy of individuals in the footage. However, protecting visual privacy without …