5^th Workshop on Maritime Computer Vision (MaCVi)

Call for Papers

We invite original research and applied work on computer vision in maritime environments. Submissions may address underwater, surface, aerial, coastal, offshore, or remote-sensing settings, and may focus on algorithms, multimodal systems, datasets, evaluation, deployment, or scientific applications.

Archival papers are expected to follow the official WACV 2027 workshop formatting and review requirements. We currently anticipate anonymous submissions of up to 8 pages excluding references, with supplementary material permitted. The final submission platform, template, registration requirements, and publication details will be posted once confirmed with WACV.

Topics of Interest

Relevant topics include, but are not limited to:

• Object detection, recognition, tracking, and re-identification in maritime scenes
• Semantic, instance, and panoptic segmentation above and below water
• Underwater image and video restoration, enhancement, and color correction
• Surface-vessel perception, obstacle detection, collision avoidance, and navigation
• Aerial and remote-sensing vision for search and rescue, monitoring, and mapping
• Marine animal, habitat, pollution, and environmental monitoring
• Multimodal learning and sensor fusion using optical, thermal, sonar, radar, depth, acoustic, or AIS data
• Visual localization, mapping, SLAM, heading estimation, and state estimation
• Low-light, adverse-weather, turbid-water, and long-range perception
• Domain adaptation, transfer learning, self-supervised learning, and few-shot learning
• Foundation models, vision-language models, and generalist maritime perception
• Synthetic data, simulation, generative models, and sim-to-real transfer
• Embedded, efficient, and real-time vision for maritime robots and sensor platforms
• Reliability, uncertainty, explainability, robustness, and safety evaluation
• Datasets, benchmarks, annotation methods, evaluation protocols, and reproducibility
• Field deployments and applications of maritime computer vision