EVS Research Group
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Dominika Przewłocka-Rus
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PowerYOLO: mixed precision model for hardware efficient object detection with event data
Energy efficient hardware acceleration of neural networks with power-of-two quantisation
Power-of-two quantized YOLO network for pedestrian detection with dynamic vision sensor
Exploration of hardware acceleration methods for an XNOR traffic signs classifier
The bioinspired traffic sign classifier
Towards real-time and energy efficient Siamese tracking – a hardware-software approach
Quantised Siamese tracker for 4K/UltraHD video stream – a demo
Realt̄ime FPGA implementation of parallel connected component labelling for a 4K video stream
The bioinspired traffic sign classifier
Optimisation of a Siamese neural network for realt̄ime energy efficient object tracking
Realt̄ime FPGA implementation of connected component labelling for a 4K video stream
Realt̄ime implementation of adaptive correlation filter tracking for 4K video stream in Zynq UltraScale+ MPSoC
XNOR CNNs in FPGA: realt̄ime detection and classification of traffic signs in 4K – a demo
Hardware acceleration of face detection using a deep convolutional neural network – a demo
Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC
Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC – a~demo
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