Mahtab Bigverdi — accepted AI-conference papers

2026

Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations

Linjie Li, Mahtab Bigverdi, Jiawei Gu, Zixian Ma, Yinuo Yang, Ziang Li +2

ICLR 2026poster

Spatial cognition is essential for human intelligence, enabling problem-solving through visual simulations rather than solely relying on verbal reasoning. However, existing AI benchmarks primarily assess verbal reasoning, neglecting the complexities of non-verbal, multi-step visual simulation. We in…

Cited by 0 Source ↗code ↗Scholar ↗

2025

Perception Tokens Enhance Visual Reasoning in Multimodal Language Models

Mahtab Bigverdi, Zelun Luo, Cheng-Yu Hsieh, Ethan Shen, Dongping Chen, Linda G. Shapiro +1

CVPR 2025poster

Multimodal language models (MLMs) still face challenges in fundamental visual perception tasks where specialized models excel. Tasks requiring reasoning about 3D structures benefit from depth estimation, and reasoning about 2D object instances benefits from object detection. Yet, MLMs can not produc…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗