Georg Rutishauser

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Wavelet Subbands

Gesture Recognition

Top Venues

Future Gener. Comput. Syst.

IEEE J. Solid State Circuits

Publications

Georg Rutishauser, Joan Mihali, Moritz Scherer, Luca Benini
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems. CoRR (2024)
Francesco Conti, Gianna Paulin, Angelo Garofalo, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing. IEEE J. Solid State Circuits 59 (1) (2024)
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. IEEE Access 12 (2024)
Lorenzo Lamberti, Georg Rutishauser, Francesco Conti, Luca Benini
Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs. CoRR (2024)
Georg Rutishauser, Francesco Conti, Luca Benini
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. AICAS (2023)
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
TCN-CUTIE: A 1, 036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology. IEEE Micro 43 (1) (2023)
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. CoRR (2023)
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. CoRR (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. CoRR (2023)
Georg Rutishauser, Robin Hunziker, Alfio Di Mauro, Sizhen Bian, Luca Benini, Michele Magno
ColibriES: A Milliwatts RISC-V Based Embedded System Leveraging Neuromorphic and Neural Networks Hardware Accelerators for Low-Latency Closed-loop Control Applications. ISCAS (2023)
Sizhen Bian, Lukas Schulthess, Georg Rutishauser, Alfio Di Mauro, Luca Benini, Michele Magno
ColibriUAV: An Ultra-Fast, Energy-Efficient Neuromorphic Edge Processing UAV-Platform with Event-Based and Frame-Based Cameras. IWASI (2023)
Francesco Conti, Gianna Paulin, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing. CoRR (2023)
Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini
7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks. Future Gener. Comput. Syst. 149 (2023)
Georg Rutishauser, Francesco Conti, Luca Benini
Free Bits: Latency Optimization of Mixed-Precision Quantized Neural Networks on the Edge. CoRR (2023)
Julian Moosmann, Hanna Müller, Nicky Zimmerman, Georg Rutishauser, Luca Benini, Michele Magno
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems. CoRR (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. ISVLSI (2023)
Georg Rutishauser, Moritz Scherer, Tim Fischer, Luca Benini
Ternarized TCN for $\mu \mathrm{J}/\text{Inference}$ Gesture Recognition from DVS Event Frames. DATE (2022)
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Moritz Scherer, Alfio Di Mauro, Georg Rutishauser, Tim Fischer, Luca Benini
A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications. COOL CHIPS (2022)
Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology. CoRR (2022)
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. CoRR (2020)
Lukas Cavigelli, Georg Rutishauser, Luca Benini
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. CoRR (2019)
Lukas Cavigelli, Georg Rutishauser, Luca Benini
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (4) (2019)