Garrick Orchard

According to our database, Garrick Orchard authored at least 53 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing.

Kenneth Michael Stewart, Michael Neumeier, Sumit Bam Shrestha, Garrick Orchard, Emre Neftci

CoRR, 2024

2023

The Intel neuromorphic DNS challenge.

Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies

Neuromorph. Comput. Eng., September, 2023

Ultra-low-power Image Classification on Neuromorphic Hardware.

Gregor Lenz, Garrick Orchard, Sadique Sheik

CoRR, 2023

2022

Efficient Neuromorphic Signal Processing with Resonator Neurons.

Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies

J. Signal Process. Syst., 2022

Event-Based Vision: A Survey.

Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

e-TLD: Event-Based Framework for Dynamic Object Tracking.

Bharath Ramesh, Shihao Zhang, Hong Yang, Andrés Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang

IEEE Trans. Circuits Syst. Video Technol., 2021

ESPEE: Event-Based Sensor Pose Estimation Using an Extended Kalman Filter.

Fabien Colonnier, Luca Della Vedova, Garrick Orchard

Sensors, 2021

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook.

Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud

Proc. IEEE, 2021

Efficient Neuromorphic Signal Processing with Loihi 2.

Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies

Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020

An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning.

Rong Xiao, Huajin Tang, Yuhao Ma, Rui Yan, Garrick Orchard

IEEE Trans. Neural Networks Learn. Syst., 2020

DART: Distribution Aware Retinal Transform for Event-Based Cameras.

Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Shihao Zhang, Cheng Xiang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Online Few-Shot Gesture Learning on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs.

Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor.

Kenneth Michael Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

Event-Based Attention and Tracking on Neuromorphic Hardware.

Alpha Renner, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

A low-power end-to-end hybrid neuromorphic framework for surveillance applications.

Andrés Ussa, Luca Della Vedova, Vandana Reddy Padala, Deepak Singla, Jyotibdha Acharya, Charles Zhang Lei, Garrick Orchard, Arindam Basu, Bharath Ramesh

CoRR, 2019

EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT using Stationary Neuromorphic Vision Sensors.

Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu

Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

Analog Weights in ReRAM DNN Accelerators.

Jason Kamran Eshraghian, Sung-Mo Kang, Seungbum Baek, Garrick Orchard, Herbert Ho-Ching Iu, Wen Lei

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

Spatial and Temporal Downsampling in Event-Based Visual Classification.

Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik

IEEE Trans. Neural Networks Learn. Syst., 2018

Active Perception With Dynamic Vision Sensors. Minimum Saccades With Optimum Recognition.

Amirreza Yousefzadeh, Garrick Orchard, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

IEEE Trans. Biomed. Circuits Syst., 2018

Spiking Optical Flow for Event-Based Sensors Using IBM's TrueNorth Neurosynaptic System.

Germain Haessig, Andrew Cassidy, Rodrigo Alvarez-Icaza, Ryad Benosman, Garrick Orchard

IEEE Trans. Biomed. Circuits Syst., 2018

Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems.

Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu

IEEE Trans. Cogn. Dev. Syst., 2018

SLAYER: Spike Layer Error Reassignment in Time.

Sumit Bam Shrestha, Garrick Orchard

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network.

Amirreza Yousefzadeh, Garrick Orchard, Evangelos Stromatias, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Event-based Plane-fitting Optical Flow for Dynamic Vision Sensors in FPGA.

Myo Tun Aung, Rodney Teo, Garrick Orchard

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Long-term object tracking with a moving event camera.

Bharath Ramesh, Shihao Zhang, Zhi Wei Lee, Zhi Gao, Garrick Orchard, Cheng Xiang

Proceedings of the British Machine Vision Conference 2018, 2018

PCA-RECT: An Energy-Efficient Object Detection Approach for Event Cameras.

Bharath Ramesh, Andrés Ussa, Luca Della Vedova, Hong Yang, Garrick Orchard

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition.

Xavier Lagorce, Garrick Orchard, Francesco Galluppi, Bertram E. Shi, Ryad Benosman

IEEE Trans. Pattern Anal. Mach. Intell., 2017

DART: Distribution Aware Retinal Transform for Event-based Cameras.

Bharath Ramesh, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, Cheng Xiang

CoRR, 2017

Neuromorphic self-driving robot with retinomorphic vision and spike-based processing/closed-loop control.

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

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Spike context: A neuromorphic descriptor for pattern recognition.

Bharath Ramesh, Ngoc Anh Le Thi, Garrick Orchard, Cheng Xiang

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016

Real-time sensory information processing using the TrueNorth Neurosynaptic System.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Evaluating noise filtering for event-based asynchronous change detection image sensors.

Daniel Czech, Garrick Orchard

Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

2015

HFirst: A Temporal Approach to Object Recognition.

Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish V. Thakor, Ryad Benosman

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades.

Garrick Orchard, Ajinkya Jayawant, Gregory Cohen, Nitish V. Thakor

CoRR, 2015

Real-time event-driven spiking neural network object recognition on the SpiNNaker platform.

Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Live demonstration: Real-time event-driven object recognition on SpiNNaker.

Garrick Orchard, Xavier Lagorce, Christoph Posch, Steve B. Furber, Ryad Benosman, Francesco Galluppi

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Human vs. computer slot car racing using an event and frame-based DAVIS vision sensor.

Tobi Delbrück, Michael Pfeiffer, R. Juston, Garrick Orchard, Elias Mueggler, Alejandro Linares-Barranco, M. W. Tilden

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014

Bioinspired Visual Motion Estimation.

Garrick Orchard, Ralph Etienne-Cummings

Proc. IEEE, 2014

Accelerated frame-free time-encoded multi-step imaging.

Garrick Orchard, Daniel Matolin, Xavier Lagorce, Ryad Benosman, Christoph Posch

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Live demonstration: Event-driven high-speed imaging.

Daniel Matolin, Garrick Orchard, Jean-Baptiste Floderer, Christoph Posch

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Real-time object recognition and orientation estimation using an event-based camera and CNN.

Rohan Ghosh, Abhishek Mishra, Garrick Orchard, Nitish V. Thakor

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013

Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations.

Garrick Orchard, Jacob G. Martin, R. Jacob Vogelstein, Ralph Etienne-Cummings

IEEE Trans. Neural Networks Learn. Syst., 2013

Real-time motion estimation using spatiotemporal filtering in FPGA.

Garrick Orchard, Nitish V. Thakor, Ralph Etienne-Cummings

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

A spiking neural network architecture for visual motion estimation.

Garrick Orchard, Ryad Benosman, Ralph Etienne-Cummings, Nitish V. Thakor

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

Real Time Compressive Sensing Video Reconstruction in Hardware.

Garrick Orchard, Jie Zhang, Yuanming Suo, Minh Dao, Dzung T. Nguyen, Sang Chin, Christoph Posch, Trac D. Tran, Ralph Etienne-Cummings

IEEE J. Emerg. Sel. Topics Circuits Syst., 2012

2010

Optimization Methods for Spiking Neurons and Networks.

Alexander F. Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings

IEEE Trans. Neural Networks, 2010

Discriminating Multiple Nearby Targets Using Single-Ping Ultrasonic Scene Mapping.

Garrick Orchard, Ralph Etienne-Cummings

IEEE Trans. Circuits Syst. I Regul. Pap., 2010

2009

Simulation of a single ping ultrasonic bearing estimation design using spatiotemporal filtering.

Garrick Orchard, Ralph Etienne-Cummings, Jamal Molin

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

2008

Configuring silicon neural networks using genetic algorithms.

Garrick Orchard, Alexander F. Russell, Kevin Mazurek, Francesco Tenore, Ralph Etienne-Cummings

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Implementing a neuromorphic cross-correlation engine with silicon neurons.

Fopefolu O. Folowosele, Francesco Tenore, Alexander F. Russell, Garrick Orchard, Mark P. Vismer, Jonathan Tapson, Ralph Etienne-Cummings

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007

Configuring of Spiking Central Pattern Generator Networks for Bipedal Walking Using Genetic Algorthms.

Alexander F. Russell, Garrick Orchard, Ralph Etienne-Cummings

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007