Research questionHow can computer-vision systems use commonsense to reason about scenes, object relations, and actions?Visual recognition can identify objects without explaining how they relate or what actions make sense in a scene. Commonsense knowledge is difficult to align with visual evidence when datasets are biased, knowledge is incomplete, and representations do not integrate cleanly. Latest papersRecent research connected to this question, newest first.Commonsense Reasoning in Computer Vision: Foundations, Recent Advancements, and Future DirectionsThe source is a survey of knowledge graphs, scene graphs, neuro-symbolic models, and commonsense-augmented transformers for computer-vision tasks. It discusses dataset bias, knowledge incompleteness, integration challenges, cross-modal reasoning, scalable knowledge injection, and neuro-symbolic architectures rather than presenting one proposed system.research paper · Sep 4, 2026VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMsThe source evaluates multimodal large language models on 1,680 questions across 1,249 videos and eight types of visual knowledge, comparing 28 models with human performance. It also reports a visual-knowledge dataset and baseline model, with gains on VKnowU and several other video benchmarks.research paper · Sep 3, 2026