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.

Workshop website:
https://zyaocoder.github.io/MAVU-workshop-2027/

OpenReview submission portal:
https://openreview.net/group?id=thecvf.com/WACV/2027/Workshop/MAVU

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:

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.

Codabench challenge platform:
https://www.codabench.org/competitions/18274/#/pages-tab

Challenge details:
https://zyaocoder.github.io/MAVU-workshop-2027/#challenge

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