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Lukas Cavigelli
Lukas Cavigelli
Principal Researcher, Huawei Technologies
Verified email at huawei.com
Title
Cited by
Cited by
Year
Soft-to-hard vector quantization for end-to-end learning compressible representations
E Agustsson, F Mentzer, M Tschannen, L Cavigelli, R Timofte, L Benini, ...
Advances in Neural Information Processing Systems 30, 2017
4042017
YodaNN: An architecture for ultralow power binary-weight CNN acceleration
R Andri, L Cavigelli, D Rossi, L Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
2342017
YodaNN: An ultra-low power convolutional neural network accelerator based on binary weights
R Andri, L Cavigelli, D Rossi, L Benini
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 236-241, 2016
2232016
Origami: A convolutional network accelerator
L Cavigelli, D Gschwend, C Mayer, S Willi, B Muheim, L Benini
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 199-204, 2015
1702015
CAS-CNN: A deep convolutional neural network for image compression artifact suppression
L Cavigelli, P Hager, L Benini
2017 International Joint Conference on Neural Networks (IJCNN), 752-759, 2017
1652017
Origami: A 803-gop/s/w convolutional network accelerator
L Cavigelli, L Benini
IEEE Transactions on Circuits and Systems for Video Technology 27 (11), 2461 …, 2017
1602017
Accelerating real-time embedded scene labeling with convolutional networks
L Cavigelli, M Magno, L Benini
Proceedings of the 52nd annual design automation conference, 1-6, 2015
1222015
InfiniTime: Multi-sensor wearable bracelet with human body harvesting
M Magno, D Brunelli, L Sigrist, R Andri, L Cavigelli, A Gomez, L Benini
Sustainable Computing: Informatics and Systems 11, 38-49, 2016
852016
FANN-on-MCU: An open-source toolkit for energy-efficient neural network inference at the edge of the Internet of Things
X Wang, M Magno, L Cavigelli, L Benini
IEEE Internet of Things Journal 7 (5), 4403-4417, 2020
782020
Cbinfer: Change-based inference for convolutional neural networks on video data
L Cavigelli, P Degen, L Benini
Proceedings of the 11th International Conference on Distributed Smart …, 2017
472017
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks
A Al Bahou, G Karunaratne, R Andri, L Cavigelli, L Benini
2018 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2018
442018
Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference
F Conti, L Cavigelli, G Paulin, I Susmelj, L Benini
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
402018
Fast and accurate multiclass inference for MI-BCIs using large multiscale temporal and spectral features
M Hersche, T Rellstab, PD Schiavone, L Cavigelli, L Benini, A Rahimi
2018 26th European Signal Processing Conference (EUSIPCO), 1690-1694, 2018
382018
Laelaps: An energy-efficient seizure detection algorithm from long-term human iEEG recordings without false alarms
A Burrello, L Cavigelli, K Schindler, L Benini, A Rahimi
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 752-757, 2019
372019
Design and evaluation of a low-power sensor device for induced rockfall experiments
A Caviezel, M Schaffner, L Cavigelli, P Niklaus, Y Bühler, P Bartelt, ...
IEEE Transactions on Instrumentation and Measurement 67 (4), 767-779, 2017
332017
EEG-TCNet: An accurate temporal convolutional network for embedded motor-imagery brain–machine interfaces
TM Ingolfsson, M Hersche, X Wang, N Kobayashi, L Cavigelli, L Benini
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
322020
Efficient convolutional neural network for audio event detection
M Meyer, L Cavigelli, L Thiele
arXiv preprint arXiv:1709.09888, 2017
262017
Hyperdrive: a systolically scalable binary-weight CNN inference engine for mW IoT end-nodes
R Andri, L Cavigelli, D Rossi, L Benini
2018 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 509-515, 2018
242018
Computationally efficient target classification in multispectral image data with Deep Neural Networks
L Cavigelli, D Bernath, M Magno, L Benini
Target and Background Signatures II 9997, 191-202, 2016
232016
SmarTEG: An autonomous wireless sensor node for high accuracy accelerometer-based monitoring
M Magno, L Sigrist, A Gomez, L Cavigelli, A Libri, E Popovici, L Benini
Sensors 19 (12), 2747, 2019
222019
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Articles 1–20