Conference dates: 6–10 March, 2026 | Tucson, Arizona
IEEE/CVF Winter Conference on Applications of Computer Vision
The Winter Conference on Applications of Computer Vision (WACV) is the premier international computer vision event, comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics, and industry researchers.
The contribution deadlines are 11 Jul 2025 (first round) and 12 Sep 2025 (second round).
Learn More
Why Participate?
- Share your work with international experts and peers, and gain valuable feedback
Opportunities
- Present your emerging ideas and applications
- Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
- Utilize your platform to share new advances, ideas, and solutions
- Highlight your contributions
- Contribute to event programming and technical content
- Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters
- Take part in emerging presentations and demos
Topics
- Agriculture
- Animals and Insects
- Arts, games, and social media
- Autonomous driving
- Biomedical, healthcare, and medicine
- Commercial and retail
- Education
- Embedded sensing and real-time techniques
- Environmental monitoring, climate change, and ecology
- Food science and nutrition
- Psychology and cognitive science
- Remote sensing
- Robotics
- Smartphones and end-user devices
- Social good
- Structural engineering and civil engineering
- Virtual and augmented reality
- Visualization
Authors are also encouraged to submit more traditional computer vision algorithms papers. Topics of interest include, but are not limited to:
- 3D computer vision
- Adversarial learning, adversarial attack, and defense methods
- Biometrics, face, gesture, and body pose
- Computational photography
- Generative models for image, video, 3D, etc.
- Datasets and evaluations
- Explainable, fair, accountable, privacy-preserving, and ethical computer vision
- Image recognition and understanding (object detection, categorization, segmentation, scene modeling, visual reasoning)
- Low-level and physics-based vision
- Machine learning architectures, formulations, and algorithms (including transfer, low-shot, semi-, self-, and unsupervised learning)
- Video recognition and understanding (tracking, action recognition, etc.)
- Vision + language and/or other modalities
- Foundation models for downstream vision tasks
Submit your content
In addition to submitting your paper to IEEE/CVF WACV 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE’s data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
