1st Workshop on Maritime Computer Vision (MaCVi)
Over the last few years, a number of computer vision applications have emerged in both maritime and freshwater
domains. These include search and rescue (SaR), detection
of illegal fishing, airborne water surface reconnaissance,
offshore wind farm and oil rig inspection, animal population monitoring, and more. Autonomous vehicle technologies
have additionally made inroads into maritime environments, with the potential to provide automation on busy
waterways and shipping routes and in airborne applications. For accurate navigation in busy traffic or close to
the shores, computer vision is essential.
Owing to the fast progress and emergence of aforementioned research, this workshop (MaCVi as part of WACV '23) aims to bring together researchers from this field (summarized as Maritime Computer Vision) and promote the employment of modern computer vision approaches in all kinds of airborne and surface water domains.
This workshop event consists of three main components:
Owing to the fast progress and emergence of aforementioned research, this workshop (MaCVi as part of WACV '23) aims to bring together researchers from this field (summarized as Maritime Computer Vision) and promote the employment of modern computer vision approaches in all kinds of airborne and surface water domains.
This workshop event consists of three main components:
Note that all deadlines are indicated in Pacific Time (USA) and the paper submission deadlines are 11:59 AM (6:59 PM UTC). No extensions will be granted.
Call for Papers
The scope of topics this workshop aims to cover is very broad and all computer vision approached in the maritime domain are welcome. If you can locate yourself on any of the elements in the following diagram, you can definitely submit your work. However, note that this is a non-exhaustive list and many more topics may fall in the maritime category. There are many disciplines that might be of broader application (e.g. general remote sensing). In that case, you can consider applying your method in a broader field to maritime benchmarks. If you are unsure whether your work is in scope of this workshop, feel free to ask benjamin.kiefer@uni-tuebingen.de.
Again, authors are encouraged to submit high-quality, original research works in the following non-exhaustive areas/topics:
- Object detection and tracking
- Multi-modal image fusion
- Multi-modal learning
- Multi-modal vision sensors (IR, depth, Hyper-/Multi-spectral) for UAVs and USVs
- (Video) Anomaly detection
- Activity recognition
- Instance/Semantic segmentation
- Scene understanding for drones
- Synthetic data generation
- Transfer learning and domain adaptation
- Remote sensing for detection and classification
- Embedded vision algorithms for UAVs and USVs
- Real-time deep inference
- Visual autonomous navigation and SLAM
- Visual collision avoidance
- Collaborative visual monitoring for UAVs and USVs
- Applications of computer vision for UAVs and USVs
- Vision for autonomous ships
- Underwater vision
- UAV & USV Vision Processing Hardware
- Sonar Computer Vision
- Bathymetry Estimation
If you have any questions regarding scope, submission modalities or others, direct them to benjamin.kiefer@uni-tuebingen.de.
