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2020 – today
- 2023
[c10]Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch:
G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. BMVC 2023: 660-663- [c9]Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Pascal Vivet
, Christoph Posch:
HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. CVPR Workshops 2023: 3953-3962 - [c8]Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Cyrille Soubeyrat, Pascal Vivet, Christoph Posch:
The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. DATE 2023: 1-6 - [i6]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, 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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - 2022
- [i5]Philippe Chiberre, Etienne Perot, Amos Sironi, Vincent Lepetit:
Long-Lived Accurate Keypoints in Event Streams. CoRR abs/2209.10385 (2022) - 2021
- [c7]Philippe Chiberre, Etienne Perot, Amos Sironi, Vincent Lepetit:
Detecting Stable Keypoints From Events Through Image Gradient Prediction. CVPR Workshops 2021: 1387-1394 - 2020
- [c6]Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi:
Learning to Detect Objects with a 1 Megapixel Event Camera. NeurIPS 2020 - [i4]Pierre de Tournemire, Davide Nitti, Etienne Perot, Davide Migliore, Amos Sironi:
A Large Scale Event-based Detection Dataset for Automotive. CoRR abs/2001.08499 (2020) - [i3]Etienne Perot, Pierre de Tournemire, Davide Nitti, Jonathan Masci, Amos Sironi:
Learning to Detect Objects with a 1 Megapixel Event Camera. CoRR abs/2009.13436 (2020)
2010 – 2019
- 2019
- [c5]Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit:
Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras. CVPR 2019: 10245-10254 - [i2]Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit:
Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras. CoRR abs/1903.11332 (2019) - 2018
- [c4]Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification. CVPR 2018: 1731-1740 - [i1]Amos Sironi, Manuele Brambilla, Nicolas Bourdis, Xavier Lagorce, Ryad Benosman:
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification. CoRR abs/1803.07913 (2018) - 2016
- [b1]Amos Sironi:
Multiscale Centerline Extraction Based on Regression and Projection onto the Set of Elongated Structures. EPFL, Switzerland, 2016 - [j2]Amos Sironi, Engin Türetken, Vincent Lepetit, Pascal Fua:
Multiscale Centerline Detection. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1327-1341 (2016) - 2015
- [j1]Amos Sironi, Bugra Tekin, Roberto Rigamonti, Vincent Lepetit, Pascal Fua:
Learning Separable Filters. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 94-106 (2015) - [c3]Amos Sironi, Vincent Lepetit, Pascal Fua:
Projection onto the Manifold of Elongated Structures for Accurate Extraction. ICCV 2015: 316-324 - 2014
- [c2]Amos Sironi, Vincent Lepetit, Pascal Fua:
Multiscale Centerline Detection by Learning a Scale-Space Distance Transform. CVPR 2014: 2697-2704 - 2013
- [c1]Roberto Rigamonti, Amos Sironi, Vincent Lepetit, Pascal Fua:
Learning Separable Filters. CVPR 2013: 2754-2761
Coauthor Index
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