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Paper-Conference
Memory-efficient graph convolutional networks for object classification and detection with event cameras
Kamil Jeziorek
,
Andrea Pinna
,
Tomasz Kryjak
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DOI
PointPillars backbone type selection for fast and accurate LiDAR object detection
Konrad Lis
,
Tomasz Kryjak
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DOI
Power-of-two quantized YOLO network for pedestrian detection with dynamic vision sensor
Dominika Przewłocka-Rus
,
Tomasz Kryjak
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DOI
Real-time FPGA implementation of the semi-global matching stereo vision algorithm for a 4K/UHD video stream
Mariusz Grabowski
,
Tomasz Kryjak
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DOI
Traffic sign classification using deep and quantum neural networks
Sylwia Kuros
,
Tomasz Kryjak
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DOI
Accelerated training of object detection DNNs for embedded vision systems
Michał Machura
,
Piotr Wzorek
,
Tomasz Kryjak
,
Marek Gorgoń
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Exploration of hardware acceleration methods for an XNOR traffic signs classifier
Dominika Przewłocka-Rus
,
Marcin Kowalczyk
,
Tomasz Kryjak
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DOI
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm
Marcin Kowalczyk
,
Tomasz Kryjak
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DOI
Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA
Hubert Szolc
,
Tomasz Kryjak
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DOI
Playing cards and bidding calls detection for automatic registration of a duplicate bridge game
Piotr Wzorek
,
Tomasz Kryjak
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