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From the 2 of 143 linked papers with an AI index.

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20242026
most citedMindCube: Spatial Mental Modeling from Limited Views

1 citations · 2 across the 56 of their papers we have counts for

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cs.CV2026

Masked Visual Actions for Unified World Modeling

Hadi Alzayer, Wenlong Huang, Haonan Chen +8

Video models absorb rich priors over how the visual world moves, interacts, and responds to contact, making them promising substrates for robotic world modeling. The central challe…

cs.CV2026

APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts

Emily Jin, Joy Hsu, Yiqing Xu +3

Long-horizon robot planning requires jointly reasoning over semantic task structure and geometric feasibility. To successfully execute a task, a robot must decompose goals, select…

cs.CV2026

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

Christina Liu, Alan Q. Wang, Joy Hsu +2

Recent tool-use frameworks powered by vision-language models (VLMs) improve image understanding by grounding model predictions with specialized tools. Broadly, these frameworks lev…

cs.CV2026

Explain Before You Answer: A Survey on Compositional Visual Reasoning

Fucai Ke, Joy Hsu, Zhixi Cai +10

Compositional visual reasoning has emerged as a key research frontier in multimodal AI, aiming to endow machines with the human-like ability to decompose visual scenes, ground inte…

cs.CV2026

HarmVideoBench: Benchmarking Harmful Video Understanding in Large Multimodal Models

Jiajun Wu, Haoyu Kang, Yining Sun +13

Large vision-language models (LVLMs) have recently shown immense potential in automated content moderation, sparking growing interest in developing harmful-video benchmarks. Howeve…

cs.CV2026

VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks

Yining Sun, Haoyu Kang, Jiajun Wu +7

Recent advancements in Image-to-Video (I2V) generation have transformed input images from simple appearance references into interactive control interfaces where visual cues such as…