视觉大模型 / VLM

C2F-Space: Coarse-to-Fine Space Grounding for Spatial Instructions using Vision-Language Models

Nayoung Oh, Dohyun Kim, Junhyeong Bang, Rohan Paul, Daehyung Park

专题命中 视觉定位与Grounding ：vision-language model(title,abstract)；grounding(title,abstract)；VLM(abstract)

Comments 16 pages, 12 figures

Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training

零样本开放词汇人体运动接地与测试时训练

Yunjiao Zhou, Xinyan Chen, Junlang Qian, Lihua Xie, Jianfei Yang

专题命中 视觉定位与Grounding ：grounding(title,abstract)；分类 cs.CV

AI总结 本文提出ZOMG框架，通过语言语义分区和软掩码优化，在无需标注或微调的情况下实现零样本开放词汇的人体运动接地，提升了运动理解的性能和效率。

Generating Natural-Language Surgical Feedback: From Structured Representation to Domain-Grounded Evaluation

Firdavs Nasriddinov, Rafal Kocielnik, Anima Anandkumar, Andrew J. Hung

机构 * California Institute of Technology（加州理工学院） ； Cedars-Sinai Medical Center（Cedars-Sinai 医疗中心） 纠错

专题命中 视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI、cs.LG

Comments Accepted as proceedings paper for ML4H 2025

Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story

Vladislav Pedashenko, Laida Kushnareva, Yana Khassan Nibal, Eduard Tulchinskii, Kristian Kuznetsov, Vladislav Zharchinskii, Yury Maximov, Irina Piontkovskaya

专题命中 视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

QADR: A Scalable, Quantum-Resistant Protocol for Anonymous Data Reporting

Nilesh Vyas, Konstantin Baier

专题命中 视觉定位与Grounding ：grounding(abstract)