default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDShih-Chii Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j46]Chang Gao
, Tobi Delbruck, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1098-1112 (2024)- [c127]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. AAAI 2024: 11399-11406 - [c126]Yuanxi Wang, Zuowen Wang, Shih-Chii Liu:
Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings. BioCAS 2024: 1-5 - [c125]Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5810-5825 - [c124]Pehuen Moure, Longbiao Cheng, Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning. CVPR 2024: 23805-23814 - [c123]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. ISCAS 2024: 1-5 - [c122]Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. NICE 2024: 1-10 - [c121]Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu:
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations. NeurIPS 2024 - [i42]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. CoRR abs/2402.09424 (2024) - [i41]Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR abs/2404.11770 (2024) - [i40]Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbrück, Shih-Chii Liu:
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM. CoRR abs/2405.03905 (2024) - [i39]Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. CoRR abs/2406.03439 (2024) - [i38]Longbiao Cheng, Ashutosh Pandey, Buye Xu, Tobi Delbruck, Shih-Chii Liu:
Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement. CoRR abs/2408.12425 (2024) - [i37]Yuanxi Wang, Zuowen Wang, Shih-Chii Liu:
Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings. CoRR abs/2410.22283 (2024) - [i36]Longbiao Cheng, Ashutosh Pandey, Buye Xu, Tobi Delbruck, Vamsi Krishna Ithapu, Shih-Chii Liu:
Modulating State Space Model with SlowFast Framework for Compute-Efficient Ultra Low-Latency Speech Enhancement. CoRR abs/2411.02019 (2024) - 2023
- [j45]Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 873-876 (2023) - [j44]Shu Wang, Meritxell Rovira, Silvia Demuru, Céline Lafaye, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu:
Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature. IEEE Trans. Biomed. Circuits Syst. 17(4): 808-817 (2023) - [c120]Sheng Zhou, Xi Chen, Kwantae Kim, Shih-Chii Liu:
High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier. AICAS 2023: 1-5 - [c119]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. BioCAS 2023: 1-5 - [c118]Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu:
A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. BioCAS 2023: 1-5 - [c117]Joachim Ott, Shih-Chii Liu:
Biologically-Inspired Continual Learning of Human Motion Sequences. ICASSP 2023: 1-5 - [c116]Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu:
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting. ISCAS 2023: 1-5 - [c115]Kwantae Kim, Shih-Chii Liu:
A 3.11 μ W 40 n V/ ✓Hz Instrumentation Amplifier for Bio-Impedance Sensors Exploiting Positive-Feedback-Assisted Gain Boosting. ISCAS 2023: 1-5 - [c114]Shu Wang, Meritxell Rovira, Yuhuang Hu, Cecilia Jiménez-Jorquera, Shih-Chii Liu:
End-to-End Prediction of Sodium Concentration from Uncalibrated Sodium ISFETs. ISCAS 2023: 1-5 - [c113]Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu:
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing. UniReps 2023: 209-222 - [i35]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. CoRR abs/2308.11771 (2023) - [i34]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. CoRR abs/2312.09391 (2023) - 2022
- [j43]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu:
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction. IEEE J. Solid State Circuits 57(11): 3298-3311 (2022) - [j42]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j41]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea With System-Level Local Automatic Gain Control. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2156-2166 (2022) - [j40]Bodo Rueckauer, Shih-Chii Liu:
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing. IEEE Trans. Circuits Syst. Video Technol. 32(2): 621-633 (2022) - [j39]Shu Wang, Céline Lafaye, Mathieu Saubade, Cyril Besson, Josep Maria Margarit-Taulé, Vincent Gremeaux, Shih-Chii Liu:
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. IEEE J. Biomed. Health Informatics 26(9): 4725-4732 (2022) - [c112]Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu:
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. AICAS 2022: 126-129 - [c111]Céline Lafaye, Meritxell Rovira, Silvia Demuru, Shu Wang, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu:
Real-time smart multisensing wearable platform for monitoring sweat biomarkers during exercise. BioCAS 2022: 173-177 - [c110]Zuowen Wang, Shu Wang, Céline Lafaye, Mathieu Saubade, Vincent Gremeaux, Shih-Chii Liu:
Person identification using deep neural networks on physiological biomarkers during exercise. BioCAS 2022: 193-197 - [c109]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP 2022: 61-65 - [c108]Shu Wang, Yuhuang Hu, Shih-Chii Liu:
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. ICASSP 2022: 3273-3277 - [c107]Zuowen Wang, Yuhuang Hu, Shih-Chii Liu:
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. ICIP 2022: 411-415 - [c106]Yuhuang Hu, Shih-Chii Liu:
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. ICPR 2022: 2192-2198 - [c105]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. ISSCC 2022: 1-3 - [i33]Shu Wang, Yuhuang Hu, Shih-Chii Liu:
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. CoRR abs/2202.03204 (2022) - [i32]Zuowen Wang, Yuhuang Hu, Shih-Chii Liu:
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. CoRR abs/2202.05054 (2022) - [i31]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea with System-level Local Automatic Gain Control. CoRR abs/2202.06707 (2022) - [i30]Yuhuang Hu, Shih-Chii Liu:
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. CoRR abs/2203.15297 (2022) - [i29]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR abs/2204.01460 (2022) - [i28]Kwantae Kim, Shih-Chii Liu:
Continuous-Time Analog Filters for Audio Edge Intelligence: Review and Analysis on Design Techniques. CoRR abs/2206.02639 (2022) - [i27]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction. CoRR abs/2208.00693 (2022) - [i26]Joachim Ott, Shih-Chii Liu:
Biologically-Inspired Continual Learning of Human Motion Sequences. CoRR abs/2211.05231 (2022) - 2021
- [c104]Xi Chen, Chang Gao, Tobi Delbrück, Shih-Chii Liu:
EILE: Efficient Incremental Learning on the Edge. AICAS 2021: 1-4 - [c103]Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück:
v2e: From Video Frames to Realistic DVS Events. CVPR Workshops 2021: 1312-1321 - [c102]Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu:
LiteEdge: Lightweight Semantic Edge Detection Network. ICCVW 2021: 2657-2666 - [c101]Bodo Rueckauer, Shih-Chii Liu:
Temporal Pattern Coding in Deep Spiking Neural Networks. IJCNN 2021: 1-8 - [c100]Qinyu Chen, Bodo Rueckauer, Li Li, Tobi Delbruck, Shih-Chii Liu:
Reducing Latency in a Converted Spiking Video Segmentation Network. ISCAS 2021: 1-5 - [c99]Ilya Kiselev, Shih-Chii Liu:
Event-Driven Local Gain Control on a Spiking Cochlea Sensor. ISCAS 2021: 1-5 - [d1]Yuhuang Hu, Shih-Chii Liu, Tobi Delbruck:
Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events". Zenodo, 2021
- [i25]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i24]Shih-Chii Liu, John Paul Strachan, Arindam Basu:
Prospects for Analog Circuits in Deep Networks. CoRR abs/2106.12444 (2021) - [i23]Chang Gao, Tobi Delbrück, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity. CoRR abs/2108.02297 (2021) - 2020
- [j38]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 419-432 (2020) - [j37]Iulia-Alexandra Lungu, Alessandro Aimar, Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Siamese Networks for Few-Shot Learning on Edge Embedded Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 488-497 (2020) - [j36]Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu:
Optimal Sampling of Parametric Families: Implications for Machine Learning. Neural Comput. 32(1): 261-279 (2020) - [j35]Enea Ceolini, Jens Hjortkjær, Daniel D. E. Wong, James O'Sullivan, Vinay S. Raghavan, Jose Herrero, Ashesh D. Mehta, Shih-Chii Liu, Nima Mesgarani:
Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage 223: 117282 (2020) - [j34]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1428-1439 (2020) - [c98]Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbrück, Shih-Chii Liu:
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference. AICAS 2020: 41-45 - [c97]Shu Wang, Yuhuang Hu, Javier Burgués, Santiago Marco, Shih-Chii Liu:
Prediction of Gas Concentration Using Gated Recurrent Neural Networks. AICAS 2020: 178-182 - [c96]Iulia-Alexandra Lungu, Yuhuang Hu, Shih-Chii Liu:
Multi-Resolution Siamese Networks for One-Shot Learning. AICAS 2020: 183-187 - [c95]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks. ECCV (16) 2020: 85-101 - [c94]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück:
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. ICRA 2020: 5460-5466 - [c93]Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas:
Lessons Learned the Hard Way. ISCAS 2020: 1-18 - [c92]Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. ITSC 2020: 1-6 - [i22]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück:
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. CoRR abs/2002.03197 (2020) - [i21]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Exploiting Event Cameras by Using a Network Grafting Algorithm. CoRR abs/2003.10959 (2020) - [i20]Tobi Delbrück, Shih-Chii Liu:
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. CoRR abs/2003.13006 (2020) - [i19]Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. CoRR abs/2005.08605 (2020) - [i18]Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück:
V2E: From video frames to realistic DVS event camera streams. CoRR abs/2006.07722 (2020) - [i17]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. CoRR abs/2012.13600 (2020)
2010 – 2019
- 2019
- [j33]Alejandro Linares-Barranco, Fernando Perez-Peña, Diederik Paul Moeys, Francisco Gomez-Rodriguez, Gabriel Jiménez-Moreno, Shih-Chii Liu, Tobi Delbrück:
Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications. IEEE Access 7: 134926-134942 (2019) - [j32]Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Incremental Learning of Hand Symbols Using Event-Based Cameras. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 690-696 (2019) - [j31]Adrian E. G. Huber, Shih-Chii Liu:
Filtering of Nonuniformly Sampled Bandlimited Functions. IEEE Signal Process. Lett. 26(7): 1036-1040 (2019) - [j30]Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück:
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. IEEE Signal Process. Mag. 36(6): 29-37 (2019) - [j29]Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück:
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 30(3): 644-656 (2019) - [c91]Tobi Delbrück, Shih-Chii Liu:
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. ACSSC 2019: 500-506 - [c90]Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Fast event-driven incremental learning of hand symbols. AICAS 2019: 25-28 - [c89]Minhao Yang, Shih-Chii Liu, Mingoo Seok, Christian C. Enz:
Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification. ASICON 2019: 1-4 - [c88]Yi Luo, Cong Han, Nima Mesgarani, Enea Ceolini, Shih-Chii Liu:
FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing. ASRU 2019: 260-267 - [c87]Bodo Rueckauer, Shih-Chii Liu:
Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data. EUSIPCO 2019: 1-5 - [c86]Stefan Braun, Shih-Chii Liu:
Parameter Uncertainty for End-to-end Speech Recognition. ICASSP 2019: 5636-5640 - [c85]Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu:
Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System. ICASSP 2019: 7953-7957 - [c84]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Audio classification systems using deep neural networks and an event-driven auditory sensor. IEEE SENSORS 2019: 1-4 - [c83]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Attention-driven Multi-sensor Selection. IJCNN 2019: 1-8 - [c82]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu:
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator. ISCAS 2019: 1 - [c81]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu:
Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator. ISCAS 2019: 1-5 - [c80]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Incremental Learning Meets Reduced Precision Networks. ISCAS 2019: 1-5 - [c79]Xiaoya Li, Daniel Neil, Tobi Delbrück, Shih-Chii Liu:
Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors. ISCAS 2019: 1-5 - [c78]Josep Maria Margarit-Taulé, Pablo Giménez-Gómez, Roger Escudé-Pujol, Manuel Gutiérrez-Capitán, Cecilia Jiménez-Jorquera, Shih-Chii Liu:
Live Demonstration: A Portable Microsensor Fusion System with Real-Time Measurement for On-Site Beverage Tasting. ISCAS 2019: 1 - [c77]Enea Ceolini, Shih-Chii Liu:
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. MLSP 2019: 1-6 - [i16]Matthew Thornton, Jithendar Anumula, Shih-Chii Liu:
Reducing state updates via Gaussian-gated LSTMs. CoRR abs/1901.07334 (2019) - [i15]Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya:
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. CoRR abs/1906.08859 (2019) - [i14]Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani:
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing. CoRR abs/1909.13387 (2019) - [i13]Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - 2018
- [j28]Chen-Han Chien, Luca Longinotti, Andreas Steimer, Shih-Chii Liu:
Hardware Implementation of an Event-Based Message Passing Graphical Model Network. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(9): 2739-2752 (2018) - [j27]Chen-Han Chien, Shih-Chii Liu, Andreas Steimer:
A Neuromorphic VLSI Circuit for Spike-Based Random Sampling. IEEE Trans. Emerg. Top. Comput. 6(1): 135-144 (2018) - [c76]Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück:
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. FPGA 2018: 21-30 - [c75]Adrian E. G. Huber, Shih-Chii Liu:
On Approximation of Bandlimited Functions with Compressed Sensing. ICASSP 2018: 4009-4013 - [c74]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Multi-channel Attention for End-to-End Speech Recognition. INTERSPEECH 2018: 17-21 - [c73]Enea Ceolini, Jithendar Anumula, Adrian E. G. Huber, Ilya Kiselev, Shih-Chii Liu:
Speaker Activity Detection and Minimum Variance Beamforming for Source Separation. INTERSPEECH 2018: 836-840 - [c72]Jithendar Anumula, Enea Ceolini, Zhe He, Adrian E. G. Huber, Shih-Chii Liu:
An event-driven probabilistic model of sound source localization using cochlea spikes. ISCAS 2018: 1-5 - [c71]Bodo Rueckauer, Shih-Chii Liu:
Conversion of analog to spiking neural networks using sparse temporal coding. ISCAS 2018: 1-5 - [i12]Yuhuang Hu, Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu:
Overcoming the vanishing gradient problem in plain recurrent networks. CoRR abs/1801.06105 (2018) - 2017
- [j26]Minhao Yang, Shih-Chii Liu, Tobi Delbrück:
Analysis of Encoding Degradation in Spiking Sensors Due to Spike Delay Variation. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(1): 145-155 (2017) - [j25]Zhaohui Wu, Ryad Benosman, Huajin Tang, Shih-Chii Liu:
Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence. IEEE Trans. Neural Networks Learn. Syst. 28(4): 774-777 (2017) - [c70]Stefan Braun, Daniel Neil, Shih-Chii Liu:
A curriculum learning method for improved noise robustness in automatic speech recognition. EUSIPCO 2017: 548-552 - [c69]Enea Ceolini, Shih-Chii Liu:
Impact of low-precision deep regression networks on single-channel source separation. ICASSP 2017: 256-260 - [c68]Daniel Neil, Junhaeng Lee, Tobi Delbrück, Shih-Chii Liu:
Delta Networks for Optimized Recurrent Network Computation. ICML 2017: 2584-2593 - [c67]Jithendar Anumula, Daniel Neil, Xiaoya Li, Tobi Delbrück, Shih-Chii Liu:
Live demonstration: Event-driven real-time spoken digit recognition system. ISCAS 2017: 1 - [c66]Ilya Kiselev, Enea Ceolini, Daniel D. E. Wong, Alain de Cheveigné, Shih-Chii Liu:
WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform. LCN Workshops 2017: 35-43 - [i11]Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück:
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. CoRR abs/1706.01406 (2017) - [i10]Stefan Braun, Daniel Neil, Enea Ceolini, Jithendar Anumula, Shih-Chii Liu:
Sensor Transformation Attention Networks. CoRR abs/1708.01015 (2017) - [i9]Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD17: End-To-End DAVIS Driving Dataset. CoRR abs/1711.01458 (2017) - 2016
- [j24]Minhao Yang, Chen-Han Chien, Tobi Delbrück, Shih-Chii Liu:
A 0.5 V 55 µW 64×2 Channel Binaural Silicon Cochlea for Event-Driven Stereo-Audio Sensing. IEEE J. Solid State Circuits 51(11): 2554-2569 (2016) - [c65]Enea Ceolini, Daniel Neil, Tobi Delbrück, Shih-Chii Liu:
Temporal sequence recognition in a self-organizing recurrent network. EBCCSP 2016: 1-4 - [c64]Cosimo Riday, Saurabh Bhargava, Richard H. R. Hahnloser, Shih-Chii Liu:
Monaural Source Separation Using a Random Forest Classifier. INTERSPEECH 2016: 3344-3348 - [c63]Ilya Kiselev, Daniel Neil, Shih-Chii Liu:
Live demonstration: Event-driven deep neural network hardware system for sensor fusion. ISCAS 2016: 452 - [c62]Daniel Neil, Shih-Chii Liu:
Effective sensor fusion with event-based sensors and deep network architectures. ISCAS 2016: 2282-2285 - [c61]Ilya Kiselev, Daniel Neil, Shih-Chii Liu:
Event-driven deep neural network hardware system for sensor fusion. ISCAS 2016: 2495-2498 - [c60]Hongjie Liu, Diederik Paul Moeys, Gautham P. Das, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
Combined frame- and event-based detection and tracking. ISCAS 2016: 2511-2514 - [c59]Minhao Yang, Chen-Han Chien, Tobias Delbrück, Shih-Chii Liu:
22.5 A 0.5V 55µW 64×2-channel binaural silicon cochlea for event-driven stereo-audio sensing. ISSCC 2016: 388-389 - [c58]Daniel Neil, Michael Pfeiffer, Shih-Chii Liu:
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences. NIPS 2016: 3882-3890 - [c57]Daniel Neil, Michael Pfeiffer, Shih-Chii Liu:
Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks. SAC 2016: 293-298 - [i8]Stefan Braun, Daniel Neil, Shih-Chii Liu:
A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition. CoRR abs/1606.06864 (2016) - [i7]Jonathan Binas, Daniel Neil, Giacomo Indiveri, Shih-Chii Liu, Michael Pfeiffer:
Precise deep neural network computation on imprecise low-power analog hardware. CoRR abs/1606.07786 (2016) - [i6]Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio:
Recurrent Neural Networks With Limited Numerical Precision. CoRR abs/1608.06902 (2016) - [i5]Daniel Neil, Michael Pfeiffer, Shih-Chii Liu:
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences. CoRR abs/1610.09513 (2016) - [i4]Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio:
Recurrent Neural Networks With Limited Numerical Precision. CoRR abs/1611.07065 (2016) - [i3]Daniel Neil, Junhaeng Lee, Tobi Delbrück, Shih-Chii Liu:
Delta Networks for Optimized Recurrent Network Computation. CoRR abs/1612.05571 (2016) - 2015
- [j23]Minhao Yang, Shih-Chii Liu, Tobi Delbrück:
A Dynamic Vision Sensor With 1% Temporal Contrast Sensitivity and In-Pixel Asynchronous Delta Modulator for Event Encoding. IEEE J. Solid State Circuits 50(9): 2149-2160 (2015) - [j22]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites. Neural Comput. 27(4): 845-897 (2015) - [j21]Saurabh Bhargava, Florian Blättler, Sepp Kollmorgen, Shih-Chii Liu, Richard H. R. Hahnloser:
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone. Neural Comput. 27(10): 2231-2259 (2015) - [j20]Giacomo Indiveri, Shih-Chii Liu:
Memory and Information Processing in Neuromorphic Systems. Proc. IEEE 103(8): 1379-1397 (2015) - [j19]Shih-Chii Liu, Minhao Yang, Andreas Steiner, Rico Moeckel, Tobi Delbrück:
1 kHz 2D Visual Motion Sensor Using 20, ×, 20 Silicon Retina Optical Sensor and DSP Microcontroller. IEEE Trans. Biomed. Circuits Syst. 9(2): 207-216 (2015) - [c56]Fernando Perez-Peña, Tobias Delbrück, Shih-Chii Liu, Alejandro Linares-Barranco, Gabriel Jiménez-Moreno:
Event-based control system on FPGA applied to the pencil balancer robotic platform. EBCCSP 2015: 1-5 - [c55]Peter U. Diehl, Daniel Neil, Jonathan Binas, Matthew Cook, Shih-Chii Liu, Michael Pfeiffer:
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing. IJCNN 2015: 1-8 - [c54]Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve B. Furber:
Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker. IJCNN 2015: 1-8 - [c53]Cheng-Han Li, Christian Brandli, Raphael Berner, Hongjie Liu, Minhao Yang, Shih-Chii Liu, Tobi Delbrück:
Design of an RGBW color VGA rolling and global shutter dynamic and active-pixel vision sensor. ISCAS 2015: 718-721 - [c52]Hongjie Liu, Christian Brandli, Cheng-Han Li, Shih-Chii Liu, Tobi Delbrück:
Design of a spatiotemporal correlation filter for event-based sensors. ISCAS 2015: 722-725 - [c51]Diederik Paul Moeys, Tobias Delbrück, Shih-Chii Liu:
Current-mode automated quality control cochlear resonator for bird identity tagging. ISCAS 2015: 1734-1737 - [c50]Evangelos Stromatias, Daniel Neil, Francesco Galluppi, Michael Pfeiffer, Shih-Chii Liu, Steve B. Furber:
Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker. ISCAS 2015: 1901 - [c49]Philipp Klein, Jörg Conradt, Shih-Chii Liu:
Scene stitching with event-driven sensors on a robot head platform. ISCAS 2015: 2421-2424 - [i2]Giacomo Indiveri, Shih-Chii Liu:
Memory and information processing in neuromorphic systems. CoRR abs/1506.03264 (2015) - 2014
- [j18]Christian Brandli, Raphael Berner, Minhao Yang, Shih-Chii Liu, Tobi Delbrück:
A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor. IEEE J. Solid State Circuits 49(10): 2333-2341 (2014) - [j17]Shih-Chii Liu, André van Schaik, Bradley A. Minch, Tobi Delbrück:
Asynchronous Binaural Spatial Audition Sensor With 2 × 64 × 4 Channel Output. IEEE Trans. Biomed. Circuits Syst. 8(4): 453-464 (2014) - [j16]Daniel Neil, Shih-Chii Liu:
Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 22(12): 2621-2628 (2014) - [c48]Andreas Steiner, Rico Moeckel, Reto Thurer, Dario Floreano, Tobi Delbrück, Shih-Chii Liu:
1kHz 2D silicon retina motion sensor platform. ISCAS 2014: 41-44 - [c47]Christian Brandli, Raphael Berner, Minhao Yang, Shih-Chii Liu, V. Villeneuva, Tobi Delbrück:
Live demonstration: The "DAVIS" Dynamic and Active-Pixel Vision Sensor. ISCAS 2014: 440 - [c46]Minhao Yang, Shih-Chii Liu, Tobi Delbrück:
Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design. ISCAS 2014: 2632-2635 - [c45]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Improved margin multi-class classification using dendritic neurons with morphological learning. ISCAS 2014: 2640-2643 - [r1]Shih-Chii Liu, André van Schaik:
Neuromorphic Sensors, Cochlea. Encyclopedia of Computational Neuroscience 2014 - [i1]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites. CoRR abs/1411.5881 (2014) - 2013
- [j15]Yingxue Wang, Shih-Chii Liu:
Active Processing of Spatio-Temporal Input Patterns in Silicon Dendrites. IEEE Trans. Biomed. Circuits Syst. 7(3): 307-318 (2013) - [c44]Paul K. J. Park, Hyunsurk Ryu, Junhaeng Lee, Chang-Woo Shin, Kyoobin Lee, Jooyeon Woo, Jun-Seok Kim, Byung-Chang Kang, Shih-Chii Liu, Tobi Delbrück:
Fast neuromorphic sound localization for binaural hearing aids. EMBC 2013: 5275-5278 - [c43]Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu:
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. IJCNN 2013: 1-7 - 2012
- [c42]Malcolm Slaney, Trevor Agus, Shih-Chii Liu, Emine Merve Kaya, Mounya Elhilali:
A model of attention-driven scene analysis. ICASSP 2012: 145-148 - [c41]Cheng-Han Li, Tobi Delbrück, Shih-Chii Liu:
Real-time speaker identification using the AEREAR2 event-based silicon cochlea. ISCAS 2012: 1159-1162 - [c40]Minhao Yang, Shih-Chii Liu, Cheng-Han Li, Tobi Delbrück:
Addressable current reference array with 170dB dynamic range. ISCAS 2012: 3110-3113 - 2011
- [j14]Yingxue Wang, Shih-Chii Liu:
A Two-Dimensional Configurable Active Silicon Dendritic Neuron Array. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(9): 2159-2171 (2011) - [c39]Yingxue Wang, Shih-Chii Liu:
Mismatch reduction through dendritic nonlinearities in a 2D silicon dendritic neuron array. ISCAS 2011: 677-680 - [c38]Holger Finger, Shih-Chii Liu:
Estimating the location of a sound source with a spike-timing localization algorithm. ISCAS 2011: 2461-2464 - 2010
- [j13]Yingxue Wang, Shih-Chii Liu:
Multilayer Processing of Spatiotemporal Spike Patterns in a Neuron with Active Dendrites. Neural Comput. 22(8): 2086-2112 (2010) - [c37]Holger Finger, Shih-Chii Liu, Paul Ruvolo, Javier R. Movellan:
Approaches and databases for online calibration of binaural sound localization for robotic heads. IROS 2010: 4340-4345 - [c36]Yingxue Wang, Shih-Chii Liu:
Motion detection using an aVLSI network of spiking neurons. ISCAS 2010: 93-96 - [c35]Shih-Chii Liu, Nima Mesgarani, John G. Harris, Hynek Hermansky:
The use of spike-based representations for hardware audition systems. ISCAS 2010: 505-508 - [c34]Shantanu Chakrabartty, Shih-Chii Liu:
Exploiting spike-based dynamics in a silicon cochlea for speaker identification. ISCAS 2010: 513-516 - [c33]Shih-Chii Liu, André van Schaik, Bradley A. Minch, Tobi Delbrück:
Event-based 64-channel binaural silicon cochlea with Q enhancement mechanisms. ISCAS 2010: 2027-2030 - [p1]Rico Moeckel, Shih-Chii Liu:
Motion Detection Chips for Robotic Platforms. Flying Insects and Robots 2010: 101-114
2000 – 2009
- 2009
- [j12]Matthias Oster, Rodney J. Douglas, Shih-Chii Liu:
Computation with Spikes in a Winner-Take-All Network. Neural Comput. 21(9): 2437-2465 (2009) - [j11]Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, Rafael Paz-Vicente, Francisco Gomez-Rodriguez, Luis A. Camuñas-Mesa, Raphael Berner, Manuel Rivas Pérez, Tobi Delbrück, Shih-Chii Liu, Rodney J. Douglas, Philipp Häfliger, Gabriel Jiménez-Moreno, Antón Civit Balcells, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Bernabé Linares-Barranco:
CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Trans. Neural Networks 20(9): 1417-1438 (2009) - [c32]Theodore Yu, Andrew Schwartz, John G. Harris, Malcolm Slaney, Shih-Chii Liu:
Periodicity Detection and Localization using Spike Timing from the AER EAR. ISCAS 2009: 109-112 - [c31]Alejandro Linares-Barranco, Francisco Gomez-Rodriguez, Gabriel Jiménez, Tobi Delbrück, Raphael Berner, Shih-Chii Liu:
Implementation of a Time-warping AER Mapper. ISCAS 2009: 2886-2889 - [c30]Yingxue Wang, Shih-Chii Liu:
Input Evoked Nonlinearities in Silicon Dendritic Circuits. ISCAS 2009: 2894-2897 - 2008
- [j10]Matthias Oster, Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu:
Quantification of a Spike-Based Winner-Take-All VLSI Network. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(10): 3160-3169 (2008) - [c29]Rico Moeckel, Roger Jaeggi, Shih-Chii Liu:
Steering with an aVLSI motion detection chip. ISCAS 2008: 1036-1039 - [c28]Shih-Chii Liu, Rico Moeckel:
Temporally learning floating-gate VLSI synapses. ISCAS 2008: 2154-2157 - 2007
- [j9]Vincent Chan, Shih-Chii Liu, André van Schaik:
AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(1): 48-59 (2007) - [c27]Matthias Oster, Rodney J. Douglas, Shih-Chii Liu:
Quantifying Input and Output Spike Statistics of a Winner-Take-All Network in a Vision System. ISCAS 2007: 853-856 - [c26]Francisco Gomez-Rodriguez, Alejandro Linares-Barranco, Lourdes Miro-Amarante, Shih-Chii Liu, André van Schaik, Ralph Etienne-Cummings, M. Anthony Lewis:
AER Auditory Filtering and CPG for Robot Control. ISCAS 2007: 1201-1204 - [c25]Rico Moeckel, Shih-Chii Liu:
Motion Detection Circuits for a Time-To-Travel Algorithm. ISCAS 2007: 3079-3082 - [c24]Matthias Oster, Patrick Lichtsteiner, Tobi Delbrück, Shih-Chii Liu:
A Spike-Based Saccadic Recognition System. ISCAS 2007: 3083-3086 - 2006
- [c23]Vincent Chan, André van Schaik, Shih-Chii Liu:
Spike response properties of an AER EAR. ISCAS 2006 - [c22]Shih-Chii Liu, Matthias Oster:
Feature competition in a spike-based winner-take-all VLSI network. ISCAS 2006 - [c21]Yingxue Wang, Shih-Chii Liu:
Programmable synaptic weights for an aVLSI network of spiking neurons. ISCAS 2006 - [c20]Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu:
Attentional Processing on a Spike-Based VLSI Neural Network. NIPS 2006: 1473-1480 - 2005
- [j8]Lukas Reichel, David Liechti, Karl Presser, Shih-Chii Liu:
Range estimation on a robot using neuromorphic motion sensors. Robotics Auton. Syst. 51(2-3): 167-174 (2005) - [c19]Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, Rodney J. Douglas:
A Hardware/Software Framework for Real-Time Spiking Systems. ICANN (1) 2005: 161-166 - [c18]Lukas Reichel, David Liechti, Karl Presser, Shih-Chii Liu:
Robot Guidance with Neuromorphic Motion Sensors. ICRA 2005: 3540-3544 - [c17]André van Schaik, Shih-Chii Liu:
AER EAR: a matched silicon cochlea pair with address event representation interface. ISCAS (5) 2005: 4213-4216 - [c16]Matthias Oster, Shih-Chii Liu:
Spiking Inputs to a Winner-take-all Network. NIPS 2005: 1051-1058 - [c15]Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, Rafael Paz-Vicente, Francisco Gomez-Rodriguez, Håvard Kolle Riis, Tobi Delbrück, Shih-Chii Liu, S. Zahnd, Adrian M. Whatley, Rodney J. Douglas, Philipp Häfliger, Gabriel Jiménez-Moreno, Antón Civit, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Bernabé Linares-Barranco:
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. NIPS 2005: 1217-1224 - 2004
- [j7]Shih-Chii Liu, Rodney J. Douglas:
Temporal coding in a silicon network of integrate-and-fire neurons. IEEE Trans. Neural Networks 15(5): 1305-1314 (2004) - [c14]Matthias Oster, Shih-Chii Liu:
A winner-take-all spiking network with spiking inputs. ICECS 2004: 203-206 - [c13]Shih-Chii Liu, Rodney J. Douglas:
Spike synchronization in a network of silicon integrate-and-fire neurons. ISCAS (5) 2004: 397-400 - 2003
- [j6]Shih-Chii Liu:
Analog VLSI Circuits for Short-Term Dynamic Synapses. EURASIP J. Adv. Signal Process. 2003(7): 620-628 (2003) - [j5]Malte Boegershausen, Pascal Suter, Shih-Chii Liu:
Modeling Short-Term Synaptic Depression in Silicon. Neural Comput. 15(2): 331-348 (2003) - [c12]Shih-Chii Liu:
A silicon retina with controllable winner-take-all properties. ISCAS (4) 2003: 804-807 - [c11]Shih-Chii Liu:
A wide-field direction-selective aVLSI spiking neuron. ISCAS (5) 2003: 829-832 - 2002
- [j4]Shih-Chii Liu, Bradley A. Minch:
Silicon synaptic adaptation mechanisms for homeostasis and contrast gain control. IEEE Trans. Neural Networks 13(6): 1497-1503 (2002) - [c10]Alessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu:
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. ICANN 2002: 204-209 - [c9]Shih-Chii Liu, Malte Boegershausen, Pascal Suter:
Circuit Model of Short-Term Synaptic Dynamics. NIPS 2002: 1075-1082 - 2001
- [j3]Shih-Chii Liu, Alessandro Usseglio Viretta:
Fly-like visuomotor responses of a robot using aVLSI motion-sensitive chips. Biol. Cybern. 85(6): 449-457 (2001) - [j2]Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Thomas Burg, Rodney J. Douglas:
Orientation-selective aVLSI spiking neurons. Neural Networks 14(6-7): 629-643 (2001) - [c8]Shih-Chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück, Rodney J. Douglas:
Orientation-Selective aVLSI Spiking Neurons. NIPS 2001: 1107-1114 - 2000
- [c7]Shih-Chii Liu, Bradley A. Minch:
Homeostasis in a Silicon Integrate and Fire Neuron. NIPS 2000: 727-733
1990 – 1999
- 1999
- [c6]Shih-Chii Liu:
A Winner-Take-All Circuit with Controllable Soft Max Property. NIPS 1999: 717-723 - 1997
- [c5]Shih-Chii Liu:
Silicon Retina with Adaptive Filtering Properties. NIPS 1997: 712-718 - 1995
- [c4]Shih-Chii Liu, Kwabena Boahen:
Adaptive Retina with Center-Surround Receptive Field. NIPS 1995: 678-684 - 1994
- [c3]Shih-Chii Liu, Carver Mead:
Continuous-Time Adaptive Delay System. ISCAS 1994: 119-122 - 1992
- [j1]Shih-Chii Liu, John G. Harris:
Dynamic wires: An alanog VLSI model for object-based processing. Int. J. Comput. Vis. 8(3): 231-239 (1992) - [c2]Christof Koch, Binnal Mathur, Shih-Chii Liu, John G. Harris, Jin Luo, Massimo Sivilotti:
Object-Based Analog VLSI Vision Circuits. NIPS 1992: 828-835
1980 – 1989
- 1989
- [c1]Shih-Chii Liu, John G. Harris:
Generalized smoothing networks in early vision. CVPR 1989: 184-191
Coauthor Index
[j46] [c127] [i40] [i38] [i36] [i34] [j43] [c105] [i27] [c104] [c103] [c100] [d1] [i23] [j38] [j37] [c98] [c95] [c94] [c93] [c92] [i22] [i21] [i20] [i19] [i18] [i17] [j33] [j32] [j30] [j29] [c91] [c90] [c82] [c81] [c80] [c79] [i15] [c76] [j26] [c68] [c67] [i11] [i9] [j24] [c65] [c60] [c59] [i3] [j23] [j19] [c56] [c53] [c52] [c51] [j18] [j17] [c48] [c47] [c46] [c44] [c41] [c40] [c33] [j11] [c31] [c24] [c15] [j2] [c8]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-15 01:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
