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From the 1 of 18 linked papers with an AI index.

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20242026
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cs.CV2026

PROBE: Manipulation-Grounded Visual Question Answering with VLM Agents

Vineet Bhat, Siyi Chen, Alex Zook +4

Vision-language Models (VLMs) excel at 2D grounding, spatial reasoning and agentic tool-based planning in static scenes. However, consider asking a home robot "Is my medication sti…

cs.CV2026

Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis

Zhengfei Kuang, Adam Sun, Liyuan Zhu +7

Modern vehicle platforms are equipped with a rich sensor suite, including LiDAR, calibrated multi-camera rigs, and accurate ego-motion, that in principle offers strong signal for r…

cs.CV2026

SpaceTools: Tool-Augmented Spatial Reasoning via Double Interactive RL

Siyi Chen, Mikaela Angelina Uy, Chan Hee Song +6

Vision Language Models (VLMs) demonstrate strong qualitative visual understanding, but struggle with metrically precise spatial reasoning required for embodied applications. The ag…

cs.CV2026

Why Far Looks Up: Probing Spatial Representation in Vision-Language Models

Cheolhong Min, Jaeyun Jung, Daeun Lee +5

Vision-language models (VLMs) achieve strong performance on spatial reasoning benchmarks, yet it remains unclear whether this reflects structured 3D understanding or reliance on st…

cs.CV2026

BOP-ASK: Object-Interaction Reasoning for Vision-Language Models

Vineet Bhat, Sungsu Kim, Valts Blukis +6

Vision Language Models (VLMs) have achieved impressive performance on spatial reasoning benchmarks, yet these evaluations mask critical weaknesses in understanding object interacti…

cs.CV2026

MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints

Yu Qi, Xinyi Xu, Ziyu Guo +10

Video generative models show emerging reasoning behaviors. It is essential to ensure that generated events remain causally consistent across frames for reliable deployment, a prope…