Visual Evolutionary Optimization on Graph-Structured Combinatorial Problems with MLLMs: A Case Study of Influence Maximization
专题命中 其他多模态 :multimodal(abstract);MLLM(abstract)
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 其他多模态 :multimodal(abstract);MLLM(abstract)
机构 * School of Data Science, Fudan University(复旦大学数据科学学院) ; Department of Electrical and Electronic Engineering and I-X, Imperial College London(帝国理工学院电子与电气工程系) ; Department of Electrical and Computer Engineering, University of Washington(华盛顿大学电气与计算机工程系) ; Paul G. Allen School of Computer Science and Engineering, University of Washington(华盛顿大学保罗·G·艾伦计算机科学与工程学院) ; Department of Radiology and Imaging Sciences, University of Utah(犹他大学放射科与成像科学系) ; Department of Radiology, University of Washington(华盛顿大学放射科) ; Institute of Science and Technology for Brain-Inspired Intellengence, Fudan University(复旦大学脑启发智能科学技术研究院)
专题命中 其他多模态 :multi-modal(abstract);分类 cs.CV
机构 * Indiana University(印第安纳大学)
专题命中 其他多模态 :multimodal(abstract);分类 cs.AI
专题命中 其他多模态 :multimodal(abstract)
Journal ref IEEE Transactions on Robotics, Volume 33, Issue 5, October 2017