12 citations · 29 across the 6 of their papers we have counts for
6 papers
SMOF: Streaming Modern CNNs on FPGAs with Smart Off-Chip Eviction
Petros Toupas, Zhewen Yu, Christos-Savvas Bouganis +1
Convolutional Neural Networks (CNNs) have demonstrated their effectiveness in numerous vision tasks. However, their high processing requirements necessitate efficient hardware acce…
From Detection to Action Recognition: An Edge-Based Pipeline for Robot Human Perception
Petros Toupas, Georgios Tsamis, Dimitrios Giakoumis +2
Mobile service robots are proving to be increasingly effective in a range of applications, such as healthcare, monitoring Activities of Daily Living (ADL), and facilitating Ambient…
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices
Alexander Montgomerie-Corcoran, Petros Toupas, Zhewen Yu +1
AI has led to significant advancements in computer vision and image processing tasks, enabling a wide range of applications in real-life scenarios, from autonomous vehicles to medi…
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
Surveillance systems, autonomous vehicles, human monitoring systems, and video retrieval are just few of the many applications in which 3D Convolutional Neural Networks are exploit…
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition
Petros Toupas, Christos-Savvas Bouganis, Dimitrios Tzovaras
3D Convolutional Neural Networks are gaining increasing attention from researchers and practitioners and have found applications in many domains, such as surveillance systems, auto…
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis +1
For Human Action Recognition tasks (HAR), 3D Convolutional Neural Networks have proven to be highly effective, achieving state-of-the-art results. This study introduces a novel str…