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Juntao Cheng

1 accepted papers

2026

ODI-Bench: Can MLLMs Understand Immersive Omnidirectional Environments?

ICLR 2026poster

Omnidirectional images (ODIs) provide full 360$^{\circ} \times$ 180$^{\circ}$ view which are widely adopted in VR, AR and embodied intelligence applications. While multi-modal large language models (MLLMs) have demonstrated remarkable performance on conventional 2D image and video understanding benc…

Cited by 0SourceScholar