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Disambiguation of "Cavigelli, Lukas"

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Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments.

, , , , , , , and . IEEE Trans. Instrumentation and Measurement, 67 (4): 767-779 (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nina Lukashina University of Stuttgart

Lukas Hauser University of Stuttgart

Lukas Münch University of Stuttgart

Lukas Reiner University of Stuttgart

Lukas Schmelzeisen University of Stuttgart

 

Other publications of authors with the same name

Deep Structured Features for Semantic Segmentation., , , , and . CoRR, (2016)Towards Edge-Aware Spatio-Temporal Filtering in Real-Time., , , , , and . IEEE Trans. Image Processing, 27 (1): 265-280 (2018)A Complete Real-Time Feature Extraction and Matching System Based on Semantic Kernels Binarized., , , , , , , , and . VLSI-SoC (Selected Papers), volume 461 of IFIP Advances in Information and Communication Technology, page 144-167. Springer, (2013)Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?, , and . ISCAS, page 1-5. IEEE, (2018)Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch., , , and . IoT 360 (2), volume 170 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 331-343. (2015)XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks., , , , and . COOL CHIPS, page 1-3. IEEE Computer Society, (2018)YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration., , , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 37 (1): 48-60 (2018)Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes., , , and . ISVLSI, page 509-515. IEEE Computer Society, (2018)Origami: A Convolutional Network Accelerator., , , , , and . ACM Great Lakes Symposium on VLSI, page 199-204. ACM, (2015)CAS-CNN: A deep convolutional neural network for image compression artifact suppression., , and . IJCNN, page 752-759. IEEE, (2017)