arXivDaily arXiv每日学术速递 周一至周五更新

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University of Southern California(南加州大学)

2025-10-24 至 2025-10-24 共收录 5
2510.20335 2025-10-24 cs.RO cs.CV

Dino-Diffusion Modular Designs Bridge the Cross-Domain Gap in Autonomous Parking

Zixuan Wu, Hengyuan Zhang, Ting-Hsuan Chen, Yuliang Guo, David Paz, Xinyu Huang, Liu Ren

机构 * Bosch Research North America, Bosch Center for AI (BCAI)(博世北美研究部、博世人工智能中心) Institute for Robotics and Intelligent Machines (IRIM), Georgia Institute of Technology(机器人与智能机器研究所、佐治亚理工学院) Department of Computer Science, University of Southern California(计算机科学系、南加州大学)

Comments Code is at https://github.com/ChampagneAndfragrance/Dino_Diffusion_Parking_Official

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2510.20266 2025-10-24 eess.IV cs.CV

GUSL-Dehaze: A Green U-Shaped Learning Approach to Image Dehazing

Mahtab Movaheddrad, Laurence Palmer, C. -C. Jay Kuo

机构 * University of Southern California(美国南加州大学)

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2510.20252 2025-10-24 cs.AI

Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods

Tianyi Zhang, Xiaolin Zhou, Yunzhe Wang, Erik Cambria, David Traum, Rui Mao

机构 * Department of Computer Science, University of Southern California(计算机科学系,南加州大学) College of Computing and Data Science, Nanyang Technological University(计算与数据科学学院,南洋理工大学) USC Institute for Creative Technologies(南加州大学创意技术研究所)

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2509.06213 2025-10-24 cs.LG cs.AI stat.ML

Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning

Christo Mathew, Wentian Wang, Jacob Feldman, Lazaros K. Gallos, Paul B. Kantor, Vladimir Menkov, Hao Wang

机构 * Rutgers University(罗格斯大学) University of Southern California(南加州大学)

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2507.16068 2025-10-24 cs.RO cs.AI cs.LG cs.MA

Compositional Coordination for Multi-Robot Teams with Large Language Models

Zhehui Huang, Guangyao Shi, Yuwei Wu, Vijay Kumar, Gaurav S. Sukhatme

机构 * Department of Computer Science, University of Southern California(计算机科学系,南加州大学) GRASP Lab, University of Pennsylvania(GRASP实验室,宾夕法尼亚大学)

Comments IEEE International Symposium on Multi-Robot & Multi-Agent Systems (MRS 2025) Oral

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