Call for Papers and AI Challenge: MAVU Workshop at WACV 2027

October 6th, 2026 Daniela Lopez de Luise
We are pleased to invite paper submissions and challenge participation for the Multi-Faceted Analysis for Video Understanding (MAVU) Workshop at WACV 2027.
MAVU will bring together researchers working on video understanding across aerial/drone, surveillance, and egocentric perspectives. Topics include long-video understanding and reasoning, video question answering, multimodal reasoning, video retrieval and forensic search, drone and aerial video analysis, surveillance video understanding, human action recognition and crowd analysis, egocentric vision, aerial perception, and efficient video models for UAVs and edge devices.
WORKSHOP INFORMATION
Date: January 4 or 5, 2027 (full-day workshop)
Location: WACV 2027, Disney Springs, Buena Vista, Florida, USA
Paper submission deadline: October 20, 2026, 11:59 p.m. PST
Decision notification: October 30, 2026
Camera-ready submission deadline: November 20, 2026, 11:59 p.m. PST
We welcome short papers of up to 4 pages, including references, and full papers of up to 8 pages, excluding references. Submissions should follow the WACV main conference format. Accepted full papers will be included in the WACV proceedings.
Please note that all authors must have an OpenReview profile. 
AI CHALLENGE: VIDEO QUESTION ANSWERING ON DRONE VIDEOS
The MAVU Workshop will also host an AI challenge on Video Question Answering for drone videos. The challenge is designed to benchmark advances in video understanding, spatiotemporal reasoning, and remote sensing.
Given a drone video and a natural-language, multiple-choice question, participants must predict the correct answer. The questions require models to understand objects, scenes, events, spatial relationships, and temporal changes across video frames.
Challenge highlights:
  • 4,000 question-answer pairs from 1,014 drone videos
  • Videos collected across 18 cities worldwide
  • Average video length of approximately 15 seconds
  • BIMBA as the baseline model
  • Overall multiple-choice accuracy as the primary evaluation metric
  • Additional accuracy reporting for individual reasoning tasks
Top-performing teams will be recognized during the MAVU Workshop. Selected teams will also be invited to present their solutions and findings at WACV 2027.
We warmly invite researchers, students, and practitioners to submit their work, participate in the challenge, and join us at WACV 2027.
WORKSHOP ORGANIZERS
Mooi Choo Chuah, Full Professor, Lehigh University
Chen Chen, Associate Professor, University of Central Florida
Shuai Zhang, Senior Staff Engineer, Qualcomm
Ning Bi, VP of Engineering, Qualcomm
Fatih Porikli, VP, Technology, Qualcomm
For questions, please contact:
mavu-wacv27-organizers@googlegroups.com
Best regards,
The MAVU 2027 Organizing Committee
_________________________________________________________
Dr. Chen Chen, Associate Professor
UCF SPRK 226 (Get Direction)| University of Central Florida 

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Special Issue “Application of Deep Learning in Medical Image Classification and Segmentation for Precise Disease Diagnosis”

October 6th, 2026 Daniela Lopez de Luise
The Editor-in-Chief of the open access journal Bioengineering (ISSN: 2306-5354, IF 4.4), Prof. Dr.
Anthony Guiseppi-Elie, is pleased to announce a new Special Issue entitled "Application of Deep
Learning in Medical Image Classification and Segmentation for Precise Disease Diagnosis". As
Guest Editors for this Special Issue and on behalf of the Editor-in-Chief, we cordially invite you to
submit a manuscript for consideration and possible publication in this Special Issue. The
submission deadline is “31 December 2026”, and papers may be submitted immediately or at any
point until “31 December 2026”, as papers will be published on an ongoing basis. For more special
issue details can be found at:
https://www.mdpi.com/journal/bioengineering/special_issues/1H5H96F9TN
The aim of this Special Issue is to present original research and critical reviews on state-of-the-art
deep learning methodologies for medical image classification and segmentation, with the purpose of
offering actionable guidelines for integrating AI into clinical workflows. This Special Issue focuses on
technical and practical issues in diagnostic imaging related to multimodal data fusion and limited
supervision, aiming to advance this critical medico-engineering field, with a particular emphasis on
topics which tackle inter-patient variability and real-world data heterogeneity.
The article processing charges for the special issue can be found at :
https://www.mdpi.com/journal/bioengineering/apc. We hope that you have some resources within
your institutions to help support this publication.
You may share this invitation with your team members, colleagues, and co-authors. If you are
interested in this paper invitation, please do not hesitate to contact me and the Special Issue Editor,
Ms. Kylee Li, at kylee.li@mdpi.com.
Thank you for your consideration. We look forward to hearing from you soon.
Dr. Nadia Brancati
Guest Editor

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AINIME@WACV27 Anime Restoration Challenge

October 6th, 2026 Daniela Lopez de Luise
We are happy to announce the start of the AINIME Anime Restoration Challenge @ WACV 2027, the flagship challenge of the AINIME workshop (AI for Animation), held at WACV 2027 (January 4–5, 2027).
Workshop and Challenge page: https://mv-lab.github.io/ainime/
Enhance the perceptual quality of anime video clips from Re-Anime600, a curated benchmark of 600 clips with high native quality, while preserving the content, style and temporal consistency of the original animation. The data is split into 350 train clips (public after signing the data agreement), 100 validation clips and 150 test clips (hidden).
– Train data: https://huggingface.co/datasets/ainime-challenge/re-anime600-train. Access requires signing the AINIME Challenge Data Agreement.
Important dates
– Oct 2, 2026: challenge opens, train data available
– Oct 2 – Oct 20: validation phase
– Oct 20 (AoE): deadline for challenge paper submission 
– Oct 21 – Oct 25: test phase
– Oct 28: results announced
Prizes
Special issue publication: Top teams will be invited to publish their work in a special issue of (Q1 Computer Science). Invited papers will go through the regular peer-review process of the journal.
Workshop registration: the participation fee for the AINIME workshop at WACV 2027 will be covered for one representative per winning team.
Challenge report and papers
Participating teams are invited to describe their method in a paper: regular papers, 5–8 pages (excluding references), double-blind review via OpenReview. The track is archival: accepted papers appear in the WACV 2027 workshop proceedings and in IEEE Xplore. The paper deadline is Oct 20 (AoE).
Organizers
Marcos V. Conde, Georgia Fargetta, Zhihao Cui,
Jeonghun Baek, Rosario Licciardello, Jin Yeying (Tencent), Julian Tanke (Sony AI).
Contact
We look forward to your participation, and please feel free to forward this call to anyone who might be interested.
Best regards,
The AINIME Challenge Organizers

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16th IEEE International Conference on Pattern Recognition Systems ICPRS-27

October 6th, 2026 Daniela Lopez de Luise

https://www.icprs.org

The IEEE 16th International Conference on Pattern Recognition Systems (ICPRS-27) is an annual international event that follows ICPRS-25, ICPRS-24, ICPRS-23, ICPRS-22, ICPRS-21, ICPRS-19, ICPRS-18, ICPRS-17 and ICPRS-16, a continuation of the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2027 it is organised by LaBRI at the Université de Bordeaux (France) and the Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR), endorsed by the IAPR and sponsored by the IEEE. As per previous years, papers deemed to be of the required standard AND presented at the conference, are planned to be published by the IEEE and indexed in IEEE Xplore. Please note that the publishers might reject papers which are too similar to previous publications, even if the work is presented at the conference. All paper submissions need to be submitted via Conftool to be peer-reviewed (double-blind) by an international panel of experts. For more information, please see https://www.icprs.org. There will be a good set of keynote talks. ICPRS 2027 is planned to be a 100% in person. There is also a special “Student Paper” category for papers whose main author is a registered student at the time of submission.

Call for Papers
Prospective authors are invited to submit papers describing novel and previously unpublished results on topics including, but not limited to:
    • Artificial Intelligence Techniques in Pattern Recognition
    • Bioinformatics Clustering
    • Biometrics (including face recognition)
    • Computer Vision
    • Data Mining and Big Data
    • Dataset: a new public dataset and baseline
    • Deep Learning and Neural Networks for Pattern Recognition
    • Document Processing and Recognition
    • Fuzzy and Hybrid Techniques in PR
    • High Performance Computing for Pattern Recognition
    • Image Processing and Analysis
    • Kernel Machines
    • Mathematical Morphology
    • Mathematical Theory of Pattern Recognition
    • Medical Image Processing and Analysis
    • Natural Language Processing and Recognition
    • Object Detection, Tracking and Recognition
    • Pattern Recognition Principles
    • Pattern Recognition for optimization
    • Real Systems, Applications and Case Studies of Pattern Recognition (e.g. health, environment, weather prediction, natural disasters, transportation, etc.)
    • Robotics
    • Remote Sensing
    • Shape and Texture Analysis
    • Signal Processing and Analysis
    • Social Media and HCI
    • Signal Processing and Analysis
    • Statistical Pattern Recognition
    • Syntactical and Structural Pattern Recognition
    • Time series prediction
    • Voice and Speech Recognition

Key Dates:
  Submission Deadline:
25th October 2026 (up to 6 pages+1 page references)
  Notification of acceptance:
28th December 2026
  Camera-ready papers:
20th January 2027

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Call for Papers @ 𝐅𝐆 2027 Special Session on AIHM: Artificial Intelligence for Automated Human Health-care and Monitoring

October 6th, 2026 Daniela Lopez de Luise
We invite to submit your paper at our Special Session at the 21𝐬𝐭 𝐈𝐄𝐄𝐄 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐅𝐚𝐜𝐞 𝐚𝐧𝐝 𝐆𝐞𝐬𝐭𝐮𝐫𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 (𝐅𝐆 2027) 𝐢𝐧 𝐌𝐚𝐫𝐫𝐚𝐤𝐞𝐬𝐡, 𝐌𝐨𝐫𝐨𝐜𝐜𝐨!

𝐓𝐨𝐩𝐢𝐜𝐬 𝐨𝐟 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭
We welcome submissions addressing the following topics on AI for healthcare, but not limited to:
• Health monitoring based on face analysis,
● Health monitoring based on gesture analysis,
● Health monitoring based on corporeal-based visual features,
● Depression analysis based on visual features,
● Face analytics for human behaviour understanding,
● Anxiety diagnosis based on face and gesture,
● Physiological measurement employing face analytics,
● Databases on health monitoring, e.g., depression analysis,
● Augmentative and alternative communication,
● Human-robot interaction,
● Home healthcare,
● Technology for cognition,
● Automatic emotional hearing and understanding,
● Visual attention and visual saliency,
● Assistive living,
● Privacy-preserving systems,
● Quality of life technologies,
● Mobile and wearable systems,
● Applications for the visually impaired,
● Sign language recognition and applications for the hearing-impaired,
● Applications for the ageing society,
● Personalized monitoring,
● Egocentric and first-person vision,
● Applications to improve health and well-being of children and the elderly.

𝐊𝐞𝐲 𝐃𝐚𝐭𝐞𝐬
𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭 𝐒𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧: October 9, 2026
𝐏𝐚𝐩𝐞𝐫 𝐒𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧: October 16, 2026
𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐜𝐜𝐞𝐩𝐭𝐚𝐧𝐜𝐞: December 20, 2026
𝐂𝐚𝐦𝐞𝐫𝐚-𝐫𝐞𝐚𝐝𝐲 𝐏𝐚𝐩𝐞𝐫: January 26, 2027
𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐃𝐚𝐭𝐞𝐬: April 26–30, 2027 (Marrakesh, Morocco)

More details, stay tuned to: https://lnkd.in/gdC_jKVz

Organisers: Abhijit Das, Antitza Dantcheva and Francois Bremond

Best regards
Abhijit

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