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2020 – today
- 2024
[i19]Kenneth Michael Stewart, Michael Neumeier, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci:
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing. CoRR abs/2408.15800 (2024)- 2023
- [j20]Jonathan Timcheck
, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. 3(3): 34005 (2023) - [i18]Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel Neuromorphic DNS Challenge. CoRR abs/2303.09503 (2023) - [i17]Gregor Lenz, Garrick Orchard, Sadique Sheik:
Ultra-low-power Image Classification on Neuromorphic Hardware. CoRR abs/2309.16795 (2023) - 2022
- [j19]Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-Based Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 154-180 (2022) - [j18]Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94(10): 917-927 (2022) - 2021
- [j17]Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud:
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proc. IEEE 109(5): 911-934 (2021) - [j16]Fabien Colonnier, Luca Della Vedova, Garrick Orchard:
ESPEE: Event-Based Sensor Pose Estimation Using an Extended Kalman Filter. Sensors 21(23): 7840 (2021) - [j15]Bharath Ramesh, Shihao Zhang, Hong Yang, Andrés Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang:
e-TLD: Event-Based Framework for Dynamic Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3996-4006 (2021) - [c28]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS 2021: 254-259 - [i16]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR abs/2111.03746 (2021) - 2020
- [j14]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
Online Few-Shot Gesture Learning on a Neuromorphic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 512-521 (2020) - [j13]Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Shihao Zhang, Cheng Xiang:
DART: Distribution Aware Retinal Transform for Event-Based Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2767-2780 (2020) - [j12]Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard:
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3649-3657 (2020) - [c27]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS 2020: 128 - [c26]Alpha Renner, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya:
Event-Based Attention and Tracking on Neuromorphic Hardware. AICAS 2020: 132 - [c25]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. AICAS 2020: 223-227 - [c24]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE 2020: 23:1-23:10 - [i15]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR abs/2004.12691 (2020) - [i14]Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci:
Online Few-shot Gesture Learning on a Neuromorphic Processor. CoRR abs/2008.01151 (2020) - [i13]Bharath Ramesh, Shihao Zhang, Hong Yang, Andrés Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang:
e-TLD: Event-based Framework for Dynamic Object Tracking. CoRR abs/2009.00855 (2020)
2010 – 2019
- 2019
- [c23]Jason Kamran Eshraghian, Sung-Mo Kang, Seungbum Baek, Garrick Orchard, Herbert Ho-Ching Iu, Wen Lei:
Analog Weights in ReRAM DNN Accelerators. AICAS 2019: 267-271 - [c22]Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT using Stationary Neuromorphic Vision Sensors. SoCC 2019: 318-323 - [i12]Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-based Vision: A Survey. CoRR abs/1904.08405 (2019) - [i11]Bharath Ramesh, Andrés Ussa, Luca Della Vedova, Hong Yang, Garrick Orchard:
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras. CoRR abs/1904.12665 (2019) - [i10]Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors. CoRR abs/1910.01851 (2019) - [i9]Kenneth Michael Stewart, Emre Neftci, Garrick Orchard, Sumit Bam Shrestha:
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor. CoRR abs/1910.04972 (2019) - [i8]Andrés Ussa, Luca Della Vedova, Vandana Reddy Padala, Deepak Singla, Jyotibdha Acharya, Charles Zhang Lei, Garrick Orchard, Arindam Basu, Bharath Ramesh:
A low-power end-to-end hybrid neuromorphic framework for surveillance applications. CoRR abs/1910.09806 (2019) - 2018
- [j11]Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu:
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j10]Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard:
Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System. IEEE Trans. Biomed. Circuits Syst. 12(4): 860-870 (2018) - [j9]Amirreza Yousefzadeh, Garrick Orchard, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Active Perception With Dynamic Vision Sensors. Minimum Saccades With Optimum Recognition. IEEE Trans. Biomed. Circuits Syst. 12(4): 927-939 (2018) - [j8]Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik:
Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5030-5044 (2018) - [c21]Bharath Ramesh, Andrés Ussa, Luca Della Vedova, Hong Yang, Garrick Orchard:
PCA-RECT: An Energy-Efficient Object Detection Approach for Event Cameras. ACCV Workshops 2018: 434-449 - [c20]Bharath Ramesh, Shihao Zhang, Zhi Wei Lee, Zhi Gao, Garrick Orchard, Cheng Xiang:
Long-term object tracking with a moving event camera. BMVC 2018: 241 - [c19]Myo Tun Aung, Rodney Teo, Garrick Orchard:
Event-based Plane-fitting Optical Flow for Dynamic Vision Sensors in FPGA. ISCAS 2018: 1-5 - [c18]Amirreza Yousefzadeh, Garrick Orchard, Evangelos Stromatias, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network. ISCAS 2018: 1-5 - [c17]Sumit Bam Shrestha, Garrick Orchard:
SLAYER: Spike Layer Error Reassignment in Time. NeurIPS 2018: 1419-1428 - [i7]Sumit Bam Shrestha, Garrick Orchard:
SLAYER: Spike Layer Error Reassignment in Time. CoRR abs/1810.08646 (2018) - 2017
- [j7]Xavier Lagorce, Garrick Orchard, Francesco Galluppi, Bertram E. Shi, Ryad Benosman:
HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1346-1359 (2017) - [c16]Bharath Ramesh, Ngoc Anh Le Thi, Garrick Orchard, Cheng Xiang:
Spike context: A neuromorphic descriptor for pattern recognition. BioCAS 2017: 1-4 - [c15]Kate D. Fischl, Gaspar Tognetti, Daniel R. Mendat, Garrick Orchard, John M. Rattray, Christos Sapsanis, Laura F. Campbell, Laxaviera Elphage, Tobias E. Niebur, Alejandro Pasciaroni, Valerie E. Rennoll, Heather Romney, Shamaria Walker, Philippe O. Pouliquen, Andreas G. Andreou:
Neuromorphic self-driving robot with retinomorphic vision and spike-based processing/closed-loop control. CISS 2017: 1-6 - [i6]Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard:
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System. CoRR abs/1710.09820 (2017) - [i5]Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Cheng Xiang:
DART: Distribution Aware Retinal Transform for Event-based Cameras. CoRR abs/1710.10800 (2017) - 2016
- [c14]Daniel Czech, Garrick Orchard:
Evaluating noise filtering for event-based asynchronous change detection image sensors. BioRob 2016: 19-24 - [c13]Andreas G. Andreou, Andrew A. Dykman, Kate D. Fischl, Guillaume Garreau, Daniel R. Mendat, Garrick Orchard, Andrew S. Cassidy, Paul Merolla, John V. Arthur, Rodrigo Alvarez-Icaza, Bryan L. Jackson, Dharmendra S. Modha:
Real-time sensory information processing using the TrueNorth Neurosynaptic System. ISCAS 2016: 2911 - 2015
- [j6]Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish V. Thakor, Ryad Benosman:
HFirst: A Temporal Approach to Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2028-2040 (2015) - [c12]Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi:
Live demonstration: Real-time event-driven object recognition on SpiNNaker. ISCAS 2015: 1903 - [c11]Tobi Delbrück, Michael Pfeiffer, R. Juston, Garrick Orchard, Elias Mueggler, Alejandro Linares-Barranco, M. W. Tilden:
Human vs. computer slot car racing using an event and frame-based DAVIS vision sensor. ISCAS 2015: 2409-2412 - [c10]Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi:
Real-time event-driven spiking neural network object recognition on the SpiNNaker platform. ISCAS 2015: 2413-2416 - [i4]Garrick Orchard, Ajinkya Jayawant, Gregory Cohen, Nitish V. Thakor:
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades. CoRR abs/1507.07629 (2015) - [i3]Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish V. Thakor, Ryad Benosman:
HFirst: A Temporal Approach to Object Recognition. CoRR abs/1508.01176 (2015) - [i2]Garrick Orchard, Ralph Etienne-Cummings:
Bioinspired Visual Motion Estimation. CoRR abs/1511.00096 (2015) - [i1]Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein, Ralph Etienne-Cummings:
Fast Neuromimetic Object Recognition using FPGA Outperforms GPU Implementations. CoRR abs/1511.00100 (2015) - 2014
- [j5]Garrick Orchard, Ralph Etienne-Cummings:
Bioinspired Visual Motion Estimation. Proc. IEEE 102(10): 1520-1536 (2014) - [c9]Daniel Matolin, Garrick Orchard, Jean-Baptiste Floderer, Christoph Posch:
Live demonstration: Event-driven high-speed imaging. BioCAS 2014: 174 - [c8]Rohan Ghosh, Abhishek Mishra, Garrick Orchard, Nitish V. Thakor:
Real-time object recognition and orientation estimation using an event-based camera and CNN. BioCAS 2014: 544-547 - [c7]Garrick Orchard, Daniel Matolin, Xavier Lagorce, Ryad Benosman, Christoph Posch:
Accelerated frame-free time-encoded multi-step imaging. ISCAS 2014: 2644-2647 - 2013
- [j4]Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein, Ralph Etienne-Cummings:
Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1239-1252 (2013) - [c6]Garrick Orchard, Ryad Benosman, Ralph Etienne-Cummings, Nitish V. Thakor:
A spiking neural network architecture for visual motion estimation. BioCAS 2013: 298-301 - [c5]Garrick Orchard, Nitish V. Thakor, Ralph Etienne-Cummings:
Real-time motion estimation using spatiotemporal filtering in FPGA. BioCAS 2013: 306-309 - 2012
- [j3]Garrick Orchard, Jie Zhang, Yuanming Suo, Minh Dao, Dzung T. Nguyen, Sang Chin, Christoph Posch, Trac D. Tran, Ralph Etienne-Cummings:
Real Time Compressive Sensing Video Reconstruction in Hardware. IEEE J. Emerg. Sel. Topics Circuits Syst. 2(3): 604-615 (2012) - 2010
- [j2]Garrick Orchard, Ralph Etienne-Cummings:
Discriminating Multiple Nearby Targets Using Single-Ping Ultrasonic Scene Mapping. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(11): 2915-2924 (2010) - [j1]Alexander F. Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings:
Optimization Methods for Spiking Neurons and Networks. IEEE Trans. Neural Networks 21(12): 1950-1962 (2010)
2000 – 2009
- 2009
- [c4]Garrick Orchard, Ralph Etienne-Cummings, Jamal Molin:
Simulation of a single ping ultrasonic bearing estimation design using spatiotemporal filtering. CISS 2009: 477-480 - 2008
- [c3]Garrick Orchard, Alexander F. Russell, Kevin Mazurek, Francesco Tenore, Ralph Etienne-Cummings:
Configuring silicon neural networks using genetic algorithms. ISCAS 2008: 1048-1051 - [c2]Fopefolu O. Folowosele, Francesco Tenore, Alexander F. Russell, Garrick Orchard, Mark P. Vismer, Jonathan Tapson, Ralph Etienne-Cummings:
Implementing a neuromorphic cross-correlation engine with silicon neurons. ISCAS 2008: 2162-2165 - 2007
- [c1]Alexander F. Russell, Garrick Orchard, Ralph Etienne-Cummings:
Configuring of Spiking Central Pattern Generator Networks for Bipedal Walking Using Genetic Algorthms. ISCAS 2007: 1525-1528
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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