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Mostrando ítems 1-5 de 5
Ponencia
Form Factor Improvement of Smart-Pixels for Vision Sensors through 3-D Vertically- Integrated Technologies
(Institute of Electrical and Electronics Engineers, 2014)
While conventional CMOS active pixel sensors embed only the circuitry required for photo-detection, pixel addressing and voltage buffering, smart pixels incorporate also circuitry for data processing, data storage and ...
Artículo
Smart imaging for power-efficient extraction of Viola-Jones local descriptors
(Society of Photo-Optical Instrumentation Engineers, 2014)
In computer vision, local descriptors permit to summarize relevant visual cues through feature vectors. These vectors constitute inputs for trained classifiers which in turn enable different high-level vision tasks. While ...
Artículo
A Pipelining-Based Heterogeneous Scheduling and Energy-Throughput Optimization Scheme for CNNs Leveraging Apache TVM
(IEEE, 2023)
Extracting information of interest from continuous video streams is a strongly demanded computer vision task. For the realization of this task at the edge using the current de-facto standard approach, i.e., deep learning, ...
Artículo
Early forest fire detection by vision-enabled wireless sensor networks
(CSIRO Publishing, 2012)
Wireless sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard to wildfires, they enable low-cost fine-grained surveillance of hazardous locations like wildland-urban ...
Ponencia
VersaTile Convolutional Neural Network Mapping on FPGAs
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Convolutional Neural Networks (ConvNets) are directed acyclic graphs with node transitions determined by a 1 set of configuration parameters. In this paper, we describe a 2 dynamically configurable hardware architecture ...