1st Portuguese Workshop on Neuromorphic Vision
The 1st Portuguese Workshop on Neuromorphic Vision, a half-day meeting for researchers, students and professionals working with event cameras and event-based vision. It is a forum to exchange results, discuss scientific and technological challenges, and strengthen ties between universities, research institutes, students and industry.
The program opens with a keynote by Scott McCloskey, Kitware (USA), on event-based sensing for space applications.
Following that, there will be presentations on ongoing research in Portugal. The event concludes with a panel discussion moderated by Fernando Pereira on research, applications, and collaboration opportunities.
The event is open to the entire community (free of charge), and participants are encouraged to share this invitation with colleagues and students who may be interested.
Venue: ISCTE – Instituto Universitário de Lisboa
Auditorium A302 · Building 4 – CVTT (Knowledge and Innovation Building)
Avenida das Forças Armadas 40, 1649-026 Lisbon, Portugal
Date and Time
Location
Hosts
Registration
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Add Event to Calendar
- ISCTE - Instituto Universitario de Lisboa
- Avenida das Forças Armadas
- Lisboa, Lisboa
- Portugal 1649-026
- Building: 4 (Iscte-CVTT)
- Room Number: A302
- Click here for Map
- Contact Event Hosts
- Co-sponsored by ISCTE - Instituto Universitário de Lisboa, Instituto de Telecomunicações
- Starts 30 September 2026 11:00 PM UTC
- Ends 07 October 2026 11:00 PM UTC
- No Admission Charge
Speakers
Scott of Kitware (USA)
Event-Based Sensing for Space-Based Applications
Event streams are sparse, capture very high dynamic range and preserve fast changes without motion blur, which makes them ideal for space, where scenes are mostly static, lighting is extreme and relative orbital motion is high. The talk reviews event-based sensors and then explores two space applications: star tracking with an event sensor looking into deep space, and vehicle re-identification in remote sensing.
Biography:
Scott McCloskey (SM) received his Ph.D. in Computer Science from McGill University in 2008, his M.S. in computer science from the Rochester Institute of Technology in 2002, and his B.S. in computer science and mathematics from the University of Wisconsin – Madison in 1998. Between his undergraduate and Ph.D., he completed the Image Science Career Development program at the Eastman Kodak research labs.
Dr. McCloskey is the Director of Computational Imaging at Kitware, where he leads a group of researchers and developers within the Computer Vision team to develop new capabilities involving non-traditional sensing. Prior to joining Kitware, he was a technical fellow at Honeywell, where he served as the principal investigator (PI) on a number of commercial and contract-funded projects in computer vision and computational imaging. His commercial work addressed problems in visual surveillance, biometrics, barcode scanning, and visual metrology.
Dr. McCloskey has served as General Chair, Program Chair, and Area Chair for the IEEE Winter Conference on the Applications of Computer Vision (WACV); as the Industrial Relations Chair, Corporate Relations Chair, and Area Chair for the premier computer vision conferences including the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Computer Vision (ICCV). He has served on a National Science Foundation review panel and as Associate Editor of the Pattern Recognition journal.
Dr. McCloskey was a Member of the Information Forensics and Security Technical Committee (2021-2023). He received the Best Paper Award for “Centroiding Point-Objects with Event Cameras” (2025), Best Paper Award for “High-resolution Image Enumeration for Low-resolution Face Recognition" (2024), and the Outstanding Reviewer Award (2024 and 2012).
Agenda
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10:00–11:00 |
Keynote Event-Based Sensing for Space-Based Applications · Scott McCloskey |
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11:00–11:30 |
Coffee Break |
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11:30–12:30 |
Event-Based Vision in Portugal — Ongoing Research Human Attention Mechanisms for Robotics: From Concepts to Applications · Alexandre Bernardino Structuring and Encoding Event Data · João Ascenso Event Data Coding for Machine Intelligence · Nuno Rodrigues Event-Based Video Reconstruction and Enhancement · Caroline Conti |
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12:30–13:00 |
Panel Discussion Event-Based Vision Research, Applications and Collaboration · Moderated by · Fernando Pereira |