Lukas Cavigelli
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, 1141-1151, 2017
216*2017
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
1692016
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
1402017
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
1252015
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
1012017
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
972017
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
942015
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
642016
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
292017
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
232018
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
212018
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, 99970L, 2016
202016
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
172017
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
162018
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
142018
StoneNode: A low-power sensor device for induced rockfall experiments
P Niklaus, T Birchler, T Aebi, M Schaffner, L Cavigelli, A Caviezel, ...
2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017
132017
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
122020
Extended bit-plane compression for convolutional neural network accelerators
L Cavigelli, L Benini
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
122019
Design automation for binarized neural networks: A quantum leap opportunity?
M Rusci, L Cavigelli, L Benini
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
112018
Efficient convolutional neural network for audio event detection
M Meyer, L Cavigelli, L Thiele
arXiv preprint arXiv:1709.09888, 2017
102017
The system can't perform the operation now. Try again later.
Articles 1–20