多模态大模型

SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)

Trong-Thuan Nguyen, Viet-Tham Huynh, Quang-Thuc Nguyen, Hoang-Phuc Nguyen, Long Le Bao, Thai Hoang Minh, Minh Nguyen Anh, Thang Nguyen Tien, Phat Nguyen Thuan, Huy Nguyen Phong, Bao Huynh Thai, Vinh-Tiep Nguyen, Duc-Vu Nguyen, Phu-Hoa Pham, Minh-Huy Le-Hoang, Nguyen-Khang Le, Minh-Chinh Nguyen, Minh-Quan Ho, Ngoc-Long Tran, Hien-Long Le-Hoang, Man-Khoi Tran, Anh-Duong Tran, Kim Nguyen, Quan Nguyen Hung, Dat Phan Thanh, Hoang Tran Van, Tien Huynh Viet, Nhan Nguyen Viet Thien, Dinh-Khoi Vo, Van-Loc Nguyen, Trung-Nghia Le, Tam V. Nguyen, Minh-Triet Tran

机构 * University of Science, VNU-HCM（越南胡志明市科学大学） ； University of Information Technology, VNU-HCM（越南胡志明市信息技术大学） ； Vietnam National University（越南国家大学） ； University of Dayton（戴维森大学） 纠错

专题命中 跨模态检索 ：multi-modal(title)；分类 cs.CV

Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving

Stefan Englmeier, Max A. Büttner, Katharina Winter, Fabian B. Flohr

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

专题命中 跨模态检索 ：multimodal(abstract)；分类 cs.CV、cs.CL

Comments Project page: https://iv.ee.hm.edu/contextmotionclip/; This work has been submitted to the IEEE for possible publication