20 YEARS of the Perception Beyond the Visible Spectrum Call for Papers

20 YEARS of the Perception Beyond the Visible Spectrum workshop 
(in Conjunction with CVPR 2024): 

Call for Papers & Challenges Participation (apologies for multiple copies)


*	Paper Submission: March 7th
*	Author Notification: April 5th
*	Camera Ready: April 12th



Since its inception in 2004, the Perception Beyond the Visible Spectrum
workshop series (IEEE PBVS) has been one of the key events in the computer
vision and pattern recognition (CVPR) community featuring imaging, sensing and
exploitation algorithms in the non-visible spectrum (infrared, thermal, radar,
...). It is a leading meeting for scientists, researchers, students and
engineers from academia, industry, and government agencies throughout the
world so we invite you to participate in PBVS 2024.

For more information refer to the Call for Paper and the Submission



The objective of this workshop is to highlight cutting edge advances and
state-of-the-art work being made in the exponentially growing field of PBVS
(previously "Object Tracking & Classification Beyond the Visible Spectrum" -
OTCBVS) integrating sensor processing, algorithms, and applications. PBVS
involves deep theoretical research in sub-areas of image processing, machine
vision, pattern recognition, machine learning, robotics, and augmented reality
within and beyond the visible spectrum. Advancing vision-based systems
includes frameworks and methods featured in PBVS.

The computer vision community has typically focused mostly on the development
of vision algorithms for object detection, tracking, and classification with
visible range sensors in day and office-like environments. In the last decade,
infrared (IR), depth, thermal and other non-visible imaging sensors were used
only in special area like medicine and defense. The relatively lower interest
level in those sensory areas in comparison to computer vision was due in part
to their high cost, low resolutions, poor image quality, lack of widely
available data sets, and/or lack of consideration of the potential advantages
of the non-visible part of the spectrum. These objections are becoming
overcome as sensory technology is advancing rapidly and the sensor cost is
dropping dramatically. Image sensing devices with high dynamic range and IR
sensitivity have started to appear in a growing number of applications ranging
from defense and automotive domains to home and office security.

We encourage the submission of original papers that cover the topics of
interest mentioned below. In order to develop robust and accurate vision-based
systems that operate in and beyond the visible spectrum, not only existing
methods and algorithms originally developed for the visible range should be
improved and adapted, but also entirely new algorithms that consider the
potential advantages of nonvisible ranges are certainly required. The fusion
of visible and non-visible ranges, like radar and IR images, depth images or
IMU information, or thermal and visible spectrum images as well as acoustic
images, is another dimension to explore for higher performance of vision-based

The 20th IEEE CVPR Workshop on Perception Beyond the Visible Spectrum
(PBVS'2024) fosters connections between communities in the machine vision
world ranging from public research institutes to private, defense, and federal
laboratories. PBVS brings together academic pioneers, industrial and defense
researchers and engineers in the field of computer vision, image analysis,
pattern recognition, machine learning, signal processing, artificial
intelligence, sensor exploitation, and HCI.

PBVS'2024 challenges are: Thermal Image Super-Resolution Challenge
(TISR'2024), Multi-modal Aerial View Imagery Challenge: Classification (MAVIC-
C'2024), and Multi-modal Aerial View Imagery Challenge: Translation (MAVIC-
T'2024) . For more information about the challenges, the datasets, the
evaluation approaches and measures as well as the deadline for participation,
please visit the challenge webpage.