[visionlist] Call for Papers: Workshop on Neuromorphic Vision @ European Conference on Computer Vision 2024

Gaurvi Goyal gaurvigoyal at gmail.com
Mon Jul 8 03:15:53 -05 2024


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/ <https://sites.google.com/view/nevi2024>
<https://sites.google.com/view/nevi2024>nevi2024
<https://sites.google.com/view/nevi2024>

** Apologies for cross-posting **

-------------------------------------
SCOPE AND MOTIVATION
-------------------------------------

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.

--------------------------------
TOPICS OF INTEREST
--------------------------------

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


---------------------------------------
 ORGANIZING COMMITTEE
---------------------------------------


   - 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)



--
Warm Regards,
Dr. Gaurvi Goyal (she/her)
Postdoc Researcher
Event Driven Perception for Robotics (EDPR)
Istituto Italiano di Tecnologia (IIT)
Genova, Italy

*PS: I work with flexible timings; I am emailing you now as it works for
me. I respect that you would respond as per your convenience.*
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