Gregor Lenz

According to our database, Gregor Lenz authored at least 20 papers between 2014 and 2026.

Collaborative distances:

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

2026

Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware.

Arunkumar Rathinam, Jules Lecomte, Jost Reelsen, Gregor Lenz, Axel von Arnim, Djamila Aouada

CoRR, April, 2026

2024

Neuromorphic Intermediate Representation.

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Bauer, Dylan Richard Muir, Peng Zhou, Bernhard Vogginger, Kade M. Heckel, Sadasivan Shankar, Terrence C. Stewart, Sadique Sheik, Jason Eshraghian

Dataset, April, 2024

Low-power Ship Detection in Satellite Images Using Neuromorphic Hardware.

Gregor Lenz, Douglas McLelland

CoRR, 2024

2023

Neuromorphic Intermediate Representation.

Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik

Dataset, December, 2023

Training Spiking Neural Networks Using Lessons From Deep Learning.

Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu

Proc. IEEE, September, 2023

Neuromorphic Intermediate Representation.

Steven Abreu, Felix Christian Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, Sadique Sheik

Dataset, July, 2023

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing.

Jens Egholm Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik

CoRR, 2023

Ultra-low-power Image Classification on Neuromorphic Hardware.

Gregor Lenz, Garrick Orchard, Sadique Sheik

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

2022

Efficient spatio-temporal feature clustering for large event-based datasets.

Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng

Neuromorph. Comput. Eng., December, 2022

EXODUS: Stable and Efficient Training of Spiking Neural Networks.

Felix Christian Bauer, Gregor Lenz, Saeid Haghighatshoar, Sadique Sheik

CoRR, 2022

A Framework for Event-based Computer Vision on a Mobile Device.

Gregor Lenz, Serge Picaud, Sio-Hoi Ieng

CoRR, 2022

A sampling-based approach for efficient clustering in large datasets.

Georgios Exarchakis, Omar Oubari, Gregor Lenz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Neuromorphic algorithms and hardware for event-based processing. (Algorithmes et architectures matérielles neuromorphiques pour le calcul évènementiel).

Gregor Lenz

PhD thesis, 2021

Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision.

Julian Büchel, Gregor Lenz, Yalun Hu, Sadique Sheik, Martino Sorbaro

CoRR, 2021

2020

A Mixed-Signal Spatio-Temporal Signal Classifier for On-Sensor Spike Sorting.

Germain Haessig, Daniel García-Lesta, Gregor Lenz, Ryad Benosman, Piotr Dudek

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Event-based Visual Gesture Recognition with Background Suppression running on a smart-phone.

Jean-Matthieu Maro, Gregor Lenz, Christopher Reeves, Ryad Benosman

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Antonios Makropoulos, Emma C. Robinson, Andreas Schuh, Robert Wright, Sean P. Fitzgibbon, Jelena Bozek, Serena J. Counsell, Johannes K. Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene P. Duff, Matteo Bastiani, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Daniel Rueckert

NeuroImage, 2018

Event-based Dynamic Face Detection and Tracking Based on Activity.

Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman

CoRR, 2018

2014

LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle.

Gregor Lenz, Matthias Frohner, Stefan Sauermann, Mathias Forjan

Proceedings of the Health Informatics Meets eHealth, 2014