2026 EVS - Menu Button Grid

2026 EVS - Basic Information

Basic Information

from May 17^th to May 23^rd 2026

Hotel Punta San Martino, Arenzano (GE), Italy

Deadlines

Registration opens: (more details will come soon)

Registration

Registration deadline: October 26^th 2025 (seats are limited)
If the number of applicants exceeds the available spots, the organizers will select participants based on the evaluation of the submitted forms and their resulting ranking. Selected participants will be notified by email.

Registration fee: Payment must be completed by November 21
The participation fees are as follows:

€1120 – Academic participant in a shared double room (per person)
€1500 – Academic participant in a single room
€2500 – Industry participant

>> Application Form

Abstract

Event-driven cameras adoption in real-world applications is steadily growing, thanks to their low-power, low latency, high temporal resolution, high dynamic range and highly compressive encoding. The EVS school is the first event focused on teaching computer vision with event cameras. Its aim is to offer students an in-depth knowledge of state-of-the-art methods to process event-driven camera data and teach them the required, practical, skills to develop their own applications. EVS will cover the following topics:

Fundamentals of Event Cameras and Event-based Processing
Model-based Computer Vision Algorithms for Event Cameras
Learning Systems that use Events
Biologically Inspired Vision
Event-driven Vision for Robot Control

Students will be given sufficient time to build practical programming skills thanks to extensive hands-on afternoon sessions on software simulators and real event cameras. The program is complemented with keynote talks on event-driven latest research and industrial applications.

Target audience: Masters students, PhD candidates, early-stage postdocs.

2026 EVS - Keynote Speakers Title

Keynote Speakers

2026 EVS - Keynote Speaker 01

Davide Scaramuzza

University of Zurich, Zurich (Switzerland)

Biography: Davide Scaramuzza is a Professor of robotics at the University of Zurich, where he works on autonomous navigation of micro flying robots with both standard and neuromorphic cameras. He did fundamental works on vision-based navigation and low-latency robust perception with with event camerasHe pioneered vision-based navigation of drones, which inspired the navigation algorithms of Ingenuity. In 2022, his team demonstrated that an AI-controlled, vision-based drone could outperform the world champions of drone racing. He co-founded Zurich-Eye, today Meta Zurich, which developed the localization and maping alorithms of the Meta Quest. His research was featured in The New York Times, The Guardian, The Economist, and Forbes.

Davide Scaramuzza

University of Zurich, Zurich (Switzerland)

Biography: Davide Scaramuzza is a Professor of robotics at the University of Zurich, where he works on autonomous navigation of micro flying robots with both standard and neuromorphic cameras. He did fundamental works on vision-based navigation and low-latency robust perception with with event camerasHe pioneered vision-based navigation of drones, which inspired the navigation algorithms of Ingenuity. In 2022, his team demonstrated that an AI-controlled, vision-based drone could outperform the world champions of drone racing. He co-founded Zurich-Eye, today Meta Zurich, which developed the localization and maping alorithms of the Meta Quest. His research was featured in The New York Times, The Guardian, The Economist, and Forbes.

2026 EVS - Keynote Speaker 02

Kynan Eng

SynSense, Zurich (Switzerland)

Biography: Kynan Eng was co-founder and CEO at iniVation. The company has achieved a number of firsts in neuromorphic engineering including the first commercially available event-based camera, first sensor to reach volume production (with Samsung), and the first neuromorphic technology in space. In 2024 iniVation became part of the SynSense Group, where Kynan continues to serve as chief commercial officer. SynSense produces highly integrated, ultra-low-power neuromorphic sensor-processor systems for applications in fields including XR, IoT, and industrial applications.

Kynan Eng

SynSense, Zurich (Switzerland)

Biography: Kynan Eng was co-founder and CEO at iniVation. The company has achieved a number of firsts in neuromorphic engineering including the first commercially available event-based camera, first sensor to reach volume production (with Samsung), and the first neuromorphic technology in space. In 2024 iniVation became part of the SynSense Group, where Kynan continues to serve as chief commercial officer. SynSense produces highly integrated, ultra-low-power neuromorphic sensor-processor systems for applications in fields including XR, IoT, and industrial applications.

2026 EVS - Agenda

Agenda

Sunday 17th

18:00 – 20:00 Welcome Apero & Poster session

Monday 18th

9:00 – 13:00 Lectures on fundamentals of Event-Driven Vision

T. Delbruck – History and basics of event-cameras, limitations, noise, models
M. Iacono - How to read events, tools and best practices
L. Gava - How to represent and visualise events
M. Iacono - Real camera vs simulators (Unreal, v2e, esim)

14:00 – 18:00 Assignments on algorithmic approaches in Event-Driven Vision

Tuesday 19th

9:00 – 13:00 Lectures on algorithmic approaches in Event-Driven Vision

A. Glover - Features tracking: corner, lines
L. Gava - 6DoF object tracking
A. Glover - Motion estimation: optical flow
G. Gallego - Contrast maximization
G. Gallego - Depth, SLAM

14:00 – 18:00 Assignments on algorithmic approaches in Event-Driven Vision

Application: optical flow tested on pan-tilt unit

21:30 – 22:30 Keynote, D. Scaramuzza

Wednesday 20th

9:00 – 13:00 Lectures on AI-based approaches for Event-Driven Vision

G. Goyal – Observing Humans (pose estimation, action recognition, eye tracking)
M. Iacono – Architectures and training SNNs for vision (CNN, RNN, LSTM, surrogate-gradient, bptt, eligibility traces, eProp, etc.)
M. Cannici – Deep learning for low-power efficient motion estimation, navigation, neural radiance fields reconstruction under fast motion

14:00 – 18:00 Assignments on AI-based approaches for Event-Driven Vision

Application: TBD

19:30 – 22:30 Social Dinner

Thursday 21st

9:00 – 13:00 Lectures on biologically inspired methods and implementation on neuromorphic hardware

E. Chicca - Insects inspired navigation with neuromorphic hardware
G. D’Angelo - Models of attentions and motion perception
C. Bartolozzi – Embodied vision and tactile sensing

14:00 – 18:00 Assignments on biologically inspired methods and implementation on neuromorphic hardware

M. Khoei and G. D’Angelo – models of biological vision on neuromorphic hardware, SynSense “SPECK” hands on tutorial

21:30 – 22:30 Keynote, K. Eng

Friday 22nd

9:00 – 13:00 Lectures on event-based vision for robot control

J. Conradt – closed loop robotics with event-driven vision and neuromorphic hardware
G. de Croon - end-to-end neuromorphic architectures for autonomous drone flight
L. Gava - low-latency vision and asynchronous reinforcement learning for real-time interaction in high-speed tasks

14:00 – 18:00 Assignments on event-based vision for robot control

Application: closing the loop with robots