多模态大模型

BEV-LLM: Leveraging Multimodal BEV Maps for Scene Captioning in Autonomous Driving

Felix Brandstaetter, Erik Schuetz, Katharina Winter, Fabian Flohr

机构 * Intelligent Vehicles Lab (IVL) Munich University of Applied Sciences（智能车辆实验室（IVL）慕尼黑应用科学大学） 纠错

专题命中 图文多模态 ：multimodal(title)；分类 cs.CV

Mining Contextualized Visual Associations from Images for Creativity Understanding

Ananya Sahu, Amith Ananthram, Kathleen McKeown

机构 * Columbia University（哥伦比亚大学） 纠错

专题命中 图文多模态 ：image-text(abstract)；分类 cs.CV、cs.CL

All in One: Visual-Description-Guided Unified Point Cloud Segmentation

Zongyan Han, Mohamed El Amine Boudjoghra, Jiahua Dong, Jinhong Wang, Rao Muhammad Anwer

机构 * Mohamed Bin Zayed University of Artificial Intelligence（莫兹哈德大学人工智能大学） ； Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV、cs.AI

Comments Accepted by ICCV2025

Blind Spot Navigation: Evolutionary Discovery of Sensitive Semantic Concepts for LVLMs

Zihao Pan, Yu Tong, Weibin Wu, Jingyi Wang, Lifeng Chen, Zhe Zhao, Jiajia Wei, Yitong Qiao, Zibin Zheng

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.CV、cs.AI

Comments The paper needs major revisions, so it is being withdrawn