多模态大模型

CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text

Anju Rani, Daniel Ortiz-Arroyo, Petar Durdevic

机构 * Department of Energy Technology（能源技术系） ； Aalborg University（奥尔堡大学） 纠错

专题命中 多模态训练与对齐 ：multimodal(title,abstract)；分类 cs.CV

Comments 11 pages, 8 figures

Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items

Junting Wang, Chenghuan Guo, Jiao Yang, Yanhui Guo, Yan Gao, Hari Sundaram

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Amazon（亚马逊） 纠错

专题命中 多模态训练与对齐 ：multi-modal(title,abstract)；分类 cs.AI

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs

Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Xiwei Xu

专题命中 多模态训练与对齐 ：multi-modal(title,abstract)；分类 cs.CL

Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product

Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad

专题命中 多模态训练与对齐 ：multimodal(abstract)；分类 cs.CV、cs.CL

Comments To appear in ICCV 2025

Guided Depth Map Super-Resolution via Multi-Scale Fusion U-shaped Mamba Network

Chenggang Guo, Hao Xu, XianMing Wan

专题命中 多模态训练与对齐 ：cross-modal(abstract)；分类 cs.CV

A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition

Jie Zhu, Yiyang Su, Minchul Kim, Anil Jain, Xiaoming Liu

机构 * Department of Computer Science and Engineering, Michigan State University（计算机科学与工程系，密歇根州立大学） 纠错

专题命中 多模态训练与对齐 ：multimodal(abstract)；分类 cs.CV

Comments Accepted to ICCV 2025. 11 pages, 5 figures

Topology-Inspired Morphological Descriptor for Soft Continuum Robots

Zhiwei Wu, Siyi Wei, Jiahao Luo, Jinhui Zhang

专题命中 多模态训练与对齐 ：multimodal(abstract)

FalconGym: A Photorealistic Simulation Framework for Zero-Shot Sim-to-Real Vision-Based Quadrotor Navigation

Yan Miao, Will Shen, Sayan Mitra

机构 * Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign（电气与计算机工程系，伊利诺伊大学厄巴纳-香槟分校） 纠错

专题命中 多模态训练与对齐 ：multi-modal(abstract)

Comments Accepted in IROS 2025