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Shahriyar Zaman Ridoy

2 accepted papers

2026

SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?

ICLR 2026poster

Spatial reasoning is a fundamental aspect of human cognition, yet it remains a major challenge for contemporary vision–language models (VLMs). Prior work largely relied on synthetic or LLM-generated environments with limited task designs and puzzle-like setups, failing to capture the real-world comp…

Cited by 0SourcecodeScholar
2026

TimeSpot: Benchmarking Geo-Temporal Understanding in Vision–Language Models in Real-World Settings

ICML 2026poster

Geo-temporal understanding, the ability to infer location, time, and contextual properties from visual input alone, is a core aspect of human intelligence and underpins applications such as disaster management, traffic planning, embodied navigation, world modeling, and geography education. Although …

Cited by 0SourceScholar