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cs.CV2026

DeSpatial: The devil of Agentic Spatial Reasoning Lies in 3D Itself

Yifei Liu, Xiaolong Zhou, Ziyang Gong +8

Spatial agents have access to reconstruction and segmentation tools, yet inconsistent predictions and fragmented object identities can prevent their outputs from becoming reliable…

cs.AI2026

COSMO-Agent: Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration

Liyuan Deng, Shujian Deng, Yongkang Chen +6

Iterative industrial design-simulation optimization is bottlenecked by the CAD-CAE semantic gap: translating simulation feedback into valid geometric edits under diverse, coupled c…

cs.AI2026

Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestration

Liyuan Deng, Shujian Deng, Yongkang Chen +6

Iterative industrial design-simulation optimization is bottlenecked by the CAD-CAE semantic gap: translating simulation feedback into valid geometric edits under diverse, coupled c…

cs.CV2026

Stepping VLMs onto the Court: Benchmarking Spatial Intelligence in Sports

Yuchen Yang, Yuqing Shao, Duxiu Huang +11

Sports have long attracted broad attention as they push the limits of human physical and cognitive capabilities. Amid growing interest in spatial intelligence for vision-language m…

cs.CV2026

Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence

Yuanyuan Gao, Hao Li, Yifei Liu +14

The pursuit of spatial intelligence fundamentally relies on access to large-scale, fine-grained 3D data. However, existing approaches predominantly construct spatial understanding…