As a guest editor, I (Dr. Athanasios Nikolaidis) am organizing a Special Issue in Applied Sciences (ISSN 2076-3417; Impact Factor: 2.474; http://www.mdpi.com/journal/applsci), and it is now open to receive submissions for peer-review and possible publication:
Special Issue: Digital Image Processing and Analysis: Human and Computer Vision Applications
Website: https://www.mdpi.com/journal/applsci/special_issues/digital_image_processing_analysis
Deadline for manuscript submissions: 20 October 2021 (Considering the current situation, please do not hesitate to contact me if you need more time)
A Special Issue (SI) is a Collection of articles on a common topic. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website.
Once 10 or more papers are collected in this Special Issue, we will consider printing the special issue into a book. The book can be available on Amazon, eBookMall, Apple books etc. We will also promote the book through digital activities and conferences.
We consider your work in this developing field as very important and therefore would like to invite you to contribute with an article in this Special Issue.
Please do not hesitate to contact us, if you have any questions on this matter.
Sincerely yours,
Dr. Athanasios Nikolaidis
ACM Multimedia 2021 Workshop on Synthetic Multimedia – Audiovisual Deepfake Generation and Detection
May 4th, 2021 
Daniela Lopez de Luise ACM Multimedia 2021 Workshop on Synthetic Multimedia – Audiovisual Deepfake Generation and Detection
Call for Papers
The development of powerful deep learning technologies has also brought about some negative effects. One such issue is the emergence of deepfakes. While most work has focused on fake images and video alone, the multi-modal, audiovisual aspect is very important to both convincing generation and accurate detection of fake multimedia content.
In addition to developing accurate and robust detection models, it is worthwhile to explore fake media generation methods as well. Content generation has many meaningful and beneficial applications, such as commercial ads, education, privacy protection, etc. Therefore, fake media generation constitutes an integral component of the proposed workshop.
The purpose of the workshop is to provide a platform for researchers and engineers to share their ideas and approaches, and give some insights on fake media generation and detection to both academia and industry. We invite submissions on a range of AI technologies and applications for synthetic media and media forensics. Topics of interest include but are not limited to the following:
- Fake image/video generation and/or detection
- Fake voice generation and/or detection
- Audiovisual Deepfakes and adversarial attacks
- Audiovisual Deepfakes and Fairness and Ethics
- Audiovisual Deepfakes and Data augmentation
- Audiovisual Deepfake datasets
Important Dates
- Paper submission deadline: 10th August 2021
- Notification of acceptance: 26th August 2021
- Camera-ready paper: 2nd September 2021
Submission Guidelines
Submissions should follow the ACM Multimedia 2021 format and comprise 6-8 pages, with up to two additional pages for references.
Organizers
- Assoc Prof Stefan Winkler, National University of Singapore
- Dr Weiling Chen, National University of Singapore
- Dr Abhinav Dhall, Monash University, Australia, and IIT Ropar, India
- Dr Pavel Korshunov, Idiap Research Institute, Switzerland
More information is available at the workshop website: https://adgd2021.aisingapore.org/
The organizers can be reached via adgd2021@aisingapore.org
ACMMM2021-ADGD.pdfACM Publication | 4th International Conference on Control and Computer Vision (ICCCV 2021)
May 4th, 2021 Daniela Lopez de Luise Outdoor Semantic Segmentation Challenge @ DAGM GCPR 2021: Call for Participation
May 4th, 2021 Daniela Lopez de Luise Outdoor Semantic Segmentation Challenge @ DAGM GCPR 2021: Call for Participation ====================================================================
Machine Learning Competition on an Outdoor Driving Dataset (TAS500v1.1) with a submission deadline on August 15, 2021. The best results are presented as part of the SUUE workshop @ DAGM GCPR 2021 on September 28, 2021 in Bonn, Germany.
Important Dates ==================================================================== * August 15, 2021 – Challenge Deadline * September 28, 2021 – Workshop Presentation Date Overview
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The vast majority of research in scene understanding is applied in urban and structured environments. Unfortunately, these methods often fail when used in unstructured environments with challenging lighting conditions and many natural structures in the scene. We therefore invite you to participate in the Outdoor Semantic Segmentation Challenge and give you the opportunity to benchmark your semantic segmentation algorithms on a novel dataset of finely-grained image annotations of real world outdoor driving scenes.
The challenge uses the TAS500 dataset, which consists of over 500 annotated images of different outdoor environments. The dataset applies a fine-grained vegetation and road surface annotation policy. The segmented scenes are of interest for applications in forestry robotics or autonomous driving in unstructured environments. The challenge is part of the 1st Workshop on Scene Understanding in Unstructured Evironments (SUUE 2021) and is organized in conjunction with the DAGM GCPR 2021. The results on the test set will be published on the public leaderboard on Codalab. The participants with the best submissions will be invited to present their results at the SUUE workshop on September 28, 2021.
The workshop presentation can also be pre-recorded or done remotely. We therefore invite the international research community to participate in the competition.
Competition Organizers
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Peter Mortimer (Bundeswehr University Munich)
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For any additional information feel free to contact us at suueworkshop@googlegroups.com
We are looking forward to your competition submissions and your attendance at the SUUE 2021 this September!
Call for abstract for FG 2021 special session on Artificial Intelligence for Automated Human Health-care and Monitoring
May 4th, 2021 Daniela Lopez de Luise Dear colleagues,
We are inviting abstract submissions for a special session on “Artificial Intelligence for Automated Human Health-care and Monitoring”, as part of the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG’21, http://iab-rubric.org/fg2021/), December 15-18, 2021. Details on the special session follow below.
Title, abstract, list of authors, as well as the name of the corresponding author should be emailed directly to Abhijit Das (abhijitdas2048@gmail.com).
Please submit your abstracts before Sunday, May 8th 2021. The expected paper submission deadline will be on 1st August 2021.
Feel free to contact Abhijit Das, if you have any further questions.
Kindly circulate this email to others, who might be interested.
We look forward to your contributions!
Abhijit Das (Thapar University, India)
Antitza Dantcheva (Inria, France)
Srijan Das (Stony Brook University, USA)
François Brémond (Inria, France)
Xilin Chen (CAS, China)
Hu Han (CAS, China)