Call for Papers

NEVI 2024 Workshop @ European Conference on Computer Vision 2024
Workshop on Neuromorphic Vision: Advantages and Applications of Event Cameras

Workshop Date: 29 Sep 2024
Submission Deadline 12 Jul 2024
Venue: Milan, Italy
https://sites.google.com/view/nevi2024


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SCOPE AND MOTIVATION
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Neuromorphic sensors, also known as event cameras, are a class of
imaging devices mimicking biological visual systems. Unlike
traditional frame-based cameras, which capture images synchronously,
neuromorphic sensors continuously generate events capturing
asynchronous illumination changes.

Event cameras have initially gained interest in the field of robotics
due to their low power consumption, extremely low latency, high
dynamic range and absence of motion blur. Yet, this wide range of
intriguing properties has rapidly enabled new, cutting-edge
applications, especially for motion-centric tasks. The very fine
temporal granularity of event cameras allows to easily capture complex
temporal dynamics in a scene, so that the tackling of complex tasks
can abstract from the low-level processing, and focus directly on
higher-level cognition.

In the past few years, we have witnessed the development of new
astonishing technologies based on neuromorphic vision: low latency and
low power consumption have allowed drones to effectively avoid
fast-moving obstacles; high dynamic range and lack of motion blur
allowed self-driving cars to detect other vehicles and pedestrians in
adverse conditions such as low illumination; micro-second temporal
granularity has enhanced the analysis of human micro-expressions and
emotions. Many other groundbreaking applications are leveraging
neuromorphic sensors, from high-speed object counting and defect
detection to vibration measurement, fluid monitoring and
time-to-contact estimation for spacecraft landing. Event-based
processing has also been shown to provide an extra layer of privacy
preservation compared to standard cameras, an important addition
especially in light of the recent definition of the AI Act by the
European Commission to regulate the development of artificial
intelligence.

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TOPICS OF INTEREST
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This workshop aims to foster the growth of event-based research, by
gathering researchers in the field and improving the communication
between academia and industry, towards the discovery of new
bleeding-edge neuromorphic technologies. Following is a non-exhaustive
list of topics covered:

Event-based Vision

    Representations for event-based data
    Event camera simulators
    Event-based datasets
    Novel sensing techniques for event-based vision


Neuromorphic Event Data Processing

    Spiking neural networks
    Bio-inspired computational methods
    Event-based spatio-temporal feature extraction
    Learning methodologies with event data


Neuromorphic vision applications

    Event-based human analysis
    Driving monitoring systems
    Neuromorphic cameras for space
    High-speed counting
    Autonomous navigation


Hardware architectures for event-based vision

    ASIC and FPGA-based implementations
    Novel circuitry designs
    Benchmarking and characterization of event-based cameras


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 ORGANIZING COMMITTEE
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    Federico Becattini (University of Siena, Italy)
    Gaetano Di Caterina (University of Strathclyde, UK)
    Yulia Sandamirskaya (ZHAW Zurich University of Applied Sciences, Switzerland)
    Gregory Cohen (Western Sydney University, Australia)
    Luca Cultrera (University of Florence, Italy)
    Lorenzo Berlincioni (University of Florence, Italy)
    Suzanne Little (Dublin City University, Ireland)
    Joseph Lemley (Tobii, Ireland)
    Chiara Bartolozzi (Italian Institute of Technology, Italy)
    Gaurvi Goyal (Italian Institute of Technology, Italy)
    Arren Glover (Italian Institute of Technology, Italy)
    Axel von Arnim (Fortiss, Germany)