activity
20222026
most citedOn the Efficacy of Co-Attention Transformer Layers in Visual Question Answering

2 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CV2026

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning

Qian Yang, Ankur Sikarwar, Huy Le +4

Cross-view spatial reasoning remains a weak spot for vision-language models (VLMs): they reason in language and discard the fine-grained geometry the task requires. Thinking with i…

cs.CV2026

Communicating about Space: Language-Mediated Spatial Integration Across Partial Views

Ankur Sikarwar, Debangan Mishra, Sudarshan Nikhil +2

Humans build shared spatial understanding by communicating partial, viewpoint-dependent observations. We ask whether Multimodal Large Language Models (MLLMs) can do the same, align…