Motivation
Computer vision for high-stakes, real-world applications necessitates robust explanation and transparency to ensure trust, accountability, and ethical deployment. Celebrating its 5th Anniversary, the Explainable AI for Computer Vision (XAI4CV) workshop provides a premier forum for the entire spectrum of XAI research, from interpretable-by-design models to challenges in multimodal foundation models. The program includes invited talks, spotlight papers, a poster session, and a tutorial. XAI4CV accepts paper and demo submissions to define the future of trustworthy visual AI.
Call for Papers and Demos
We welcome paper and demo submissions.
- Papers should describe high-quality, original research. Contributions can include novel XAI methods; applications of existing methods on new domains, models, and tasks; evaluation or analysis of existing methods; and practical toolboxes.
- Demos should consist of static or interactive presentations of XAI for CV models and tasks, accompanied by a description. Contributions can include visualizations, explanations, and explorations of novel XAI systems; novel visualizations, explanations, and explorations of existing XAI systems; studies of how different visualizations, explanations, and explorations of XAI systems are perceived by people; among others.
Topics
We encourage submissions on topics including, but not limited to:
- Interpretable-by-design computer vision (CV) models, including transparent CNNs, Vision Transformers (ViTs), and hybrid architectures designed for intrinsic interpretability.
- Post-hoc explanation methods for CV models, such as saliency and activation mapping, feature visualization, and counterfactual reasoning.
- Mechanistic interpretability, including reverse-engineering network behavior, analyzing layer-wise and concept-level representations, and understanding learned mechanisms.
- Multimodal XAI, covering multimodal explanations of CV models (e.g., vision--language, vision--audio) and unimodal explanations of multimodal systems.
- Evaluation and benchmarking of XAI methods, including metrics, robustness analysis, human evaluations, and comparative studies.
- Datasets for XAI, supporting benchmarking, reproducibility, and human-centered evaluations.
- Open-source frameworks and tools for XAI, enabling transparent and scalable research and deployment.
- Human-centered XAI, including user studies, human-in-the-loop explanation systems, and the assessment of trust, usability, and decision support.
- XAI applications across domains, including healthcare, autonomous systems, robotics, geosciences, and remote sensing.
- Explainability in relation to broader constructs, such as fairness, transparency, interpretability, accountability, causality, and trust, and its implications for society.
- Emerging directions, including counterfactual and causal explanations, interpretability of foundation and generative models, concept discovery, interactive and adaptive explanations, and evaluation of XAI in real-world deployments.
Timeline
Proceedings Track
- Submission Deadline: March 6, 2026 (Anywhere on Earth)
- Notification to Authors (Accept as Spotlight, Poster, or Reject): April 3, 2026 (Anywhere on Earth)
- Camera Ready Deadline: April 11, 2026 (Anywhere on Earth)
Non-Proceedings Track
- Submission Deadline (to be considered for Spotlights): March 6, 2026 (Anywhere on Earth)
- Notification to Authors (Accept as Spotlight, Poster, or Reject): April 3, 2026 (Anywhere on Earth)
- Rolling Submissions and Notifications (Accept as Poster or Reject): Until April 11, 2026 (Anywhere on Earth)
Submission Instructions
- All submissions should be in the anonymized CVPR 2026 format available at https://cvpr.thecvf.com/Conferences/2025/AuthorGuidelines.
- The page limits do not include references.
- You may optionally upload supplementary material. Reviewers will be encouraged to look at it, but are not obligated to do so.
- Submissions can be done at Microsoft CMT service (Coming soon).
Attendance and Presentation
- Posters: All accepted submissions will be invited to participate in an in-person poster session at our workshop. Additionally, the authors will be asked to upload their posters which will be hosted on our webpage.
- Spotlights: We will pick several works among the submissions to be presented as spotlights. Presentations can either be in-person or pre-recorded.
- Abiding by the CVPR guidelines, all accepted papers must be presented by one of the authors.