From June 3 to June 7, 2026, Mingrui Wu attended the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026) at the Colorado Convention Center in Denver, Colorado. During the conference, he presented our paper, From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs (arXiv).
In this work, we introduce OpenBench, a benchmark for evaluating the spatial reasoning ability of multimodal large language models in realistic open-world scenes. Built from pedestrian-perspective multimodal data with metric 3D cues, OpenBench covers question types ranging from qualitative relations to quantitative and kinematic reasoning. Our results show that performance gains reported in indoor settings do not transfer directly to open-world scenarios, highlighting an important gap in grounded spatial intelligence.
Congratulations to Mingrui and the team on sharing this work with the CVPR 2026 community!
