CVPR 2026 Workshop: Trustworthy, Robust, Uncertainty-Aware, and Explainable Visual Intelligence and Beyond (TRUE-V)

Contemporary vision models and vision–language models are increasingly deployed in high-stakes domains, yet remain opaque, fragile, and difficult to align across tasks and modalities. This workshop aim to foster dialogue on the urgent need for transparent, reliable, and safe computer vision systems, especially in critical domains such as healthcare, transportation, and legal decision making. It brings together research on interpretability, robustness, uncertainty, and alignment under a unified design paradigm, encouraging cross-disciplinary exchange on shared technical and societal challenges. By promoting responsible design and deployment, the workshop seeks to advance forward-looking solutions for visual intelligence that enhance accountability and public trust.