Eyes on People: Recent Trends on Human Analysis, Perception and Generation Call for Papers
Call for Papers
Eyes on People: Recent Trends on Human Analysis, Perception and Generation
Computer Vision and Image Understanding
https://www.sciencedirect.com/journal/computer-vision-and-image-understanding/about/call-for-papers#eyes-on-people-recent-trends-on-human-analysis-perception-and-generation
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Timeline:
Final Manuscript Submission Deadline
21/03/2024
Editorial Acceptance Deadline
21/06/2024
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Apologies for multiple posting
Please distribute this call to interested parties
AIMS AND SCOPE
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Human-centered data are extremely widespread and have been intensely
investigated by researchers belonging to very different fields. These
research efforts are motivated by the several highly-informative
aspects of humans that can be investigated, ranging from corporal
elements to emotions and outward appearance. Recent advancements in
machine and deep learning opened the way to the practical
implementation of methods that can effectively blend into the real
world, becoming for all intents and purposes an integral part of our
everyday lives. The span of possible applications is vast, ranging
from security and prevention of crimes to healthcare, social behavior,
and even entertainment.
On the other hand, the extreme variety and diffusion of human-centered
data, and the unprecedented level of accuracy of learning methods make
their analysis and use extremely challenging and critical, as it
normally involves personal and sensitive information. The improper use
of such human-centered technology can have unpredictable social
consequences if not properly taken into account. Indeed, the
collection and use of human-centered data to build AI models capable
of analyzing and predicting human behaviors raise non-negligible
concerns related to privacy, ethics, and fairness.
To conclude, we believe research efforts should go in a direction
where learning models meet the always stricter privacy and ethics
requirements. Overall, the goal of this Special Issue is to gather
research efforts in the field of human analysis, perception, and
generation. We aim at improving the communication between researchers
and companies, and developing novel ideas that can shape the future of
this area, in terms of motivations, methodologies, prospective trends,
ethics, and potential industrial applications.
TOPICS
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We encourage submissions from all areas of computer vision, machine
learning and deep learning, focusing on the analysis of humans. More
general contributions such as novel theories, frameworks,
architectures, and datasets are also welcome. The topics of interest
include, but are not limited to, the following:
Human Analysis
Action and gesture recognition
Behavior understanding
Facial expression and emotion recognition
Trajectory prediction
Social interaction
Interpersonal relation recognition
Human Perception
People detection and tracking
Person re-identification
Person attribute classification
2D/3D human pose estimation
Anthropometric measurement estimation
Facial landmark detection
Head pose estimation
3D body reconstruction
Human Generation
DeepFake generation and detection
Morphing attack generation and detection
Virtual avatar generation
Virtual-try On
Human-Centered Data
Novel datasets with human data
Fairness and biases in human analysis
Privacy preservation and data anonymization
GUEST EDITORS
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Guido Borghi, PhD University of Bologna, Bologna, Italy
Andrea Pilzer, PhD NVIDIA, Italy
Mohamed Daoudi, PhD IMT Nord Europe, France
Xavier Alameda Pineda, PhD INRIA Grenoble, France
Federico Becattini, PhD University of Siena, Siena, Italy
Marcella Cornia, PhD University of Modena and Reggio Emilia, Modena, Italy
Claudio Ferrari, PhD University of Parma, Parma, Italy
Tomaso Fontanini, PhD University of Parma, Parma, Italy