IEEE Workshop on Applications of Computer Vision

Resumen General

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) provides a forum for computer vision researchers working on practical applications and innovative algorithms to share their latest developments. WACV 2026 solicits high-quality, original submissions describing research in computer vision, with a particular emphasis on systems and applications with significant, interesting vision components. Application areas include, but are not limited to: 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. All submissions will be handled electronically through OpenReview. Papers can be submitted to either the applications or the algorithms tracks, which will have different review criteria. Applications papers will be evaluated on systems-level innovation, novelty of the domain and comparative assessment. Algorithms papers will be evaluated according to the standard conference criteria including algorithmic novelty and quantified evaluation against current, alternative approaches.

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