Browsing: scholar

Authors: Ruei-Che Chang、Yuxuan Liu、Lotus Zhang、Anhong Guo Paper: https://arxiv.org/abs/2408.06632 Introduction Images are a crucial part of our daily lives, serving various…

Authors: Kaushik Rangadurai、Siyang Yuan、Minhui Huang、Yiqun Liu、Golnaz Ghasemiesfeh、Yunchen Pu、Xinfeng Xie、Xingfeng He、Fangzhou Xu、Andrew Cui、Vidhoon Viswanathan、Yan Dong、Liang Xiong、Lin Yang、Liang Wang、Jiyan Yang、Chonglin Sun Paper:…

Authors: Kaiser Sun、Mark Dredze Paper: https://arxiv.org/abs/2408.06663 Introduction The rise of large language models (LLMs) has significantly transformed the field of…

Authors: Shuqi He、Jun Zhuang、Ding Wang、Jun Song Paper: https://arxiv.org/abs/2408.06665 Introduction Graph Neural Networks (GNNs) have become essential tools for node classification…

Authors: Jinseong Park、Seungyun Lee、Woojin Jeong、Yujin Choi、Jaewook Lee Paper: https://arxiv.org/abs/2408.06672 Introduction Time series generation is a crucial task in various real-world…

Authors: Vlad Hondru、Florinel Alin Croitoru、Shervin Minaee、Radu Tudor Ionescu、Nicu Sebe Paper: https://arxiv.org/abs/2408.06687 Introduction In recent years, the field of computer vision…

Authors: Nursena Koprucu、Meher Shashwat Nigam、Shicheng Xu、Biruk Abere、Gabriele Dominici、Andrew Rodriguez、Sharvaree Vadgam、Berfin Inal、Alberto Tono Paper: https://arxiv.org/abs/2408.06693 Introduction Recent advancements in deep generative…

Authors: Yu Liu、Baoxiong Jia、Yixin Chen、Siyuan Huang Paper: https://arxiv.org/abs/2408.06697 Introduction The paper “SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields”…

Authors: Jian Xu、Delu Zeng、John Paisley Paper: https://arxiv.org/abs/2408.06699 Introduction Bayesian learning has seen significant advancements, with models like Student-t Processes (TPs)…

Authors: Jian Xu、Shian Du、Junmei Yang、Qianli Ma、Delu Zeng Paper: https://arxiv.org/abs/2408.06710 Introduction Gaussian Process Latent Variable Models (GPLVMs) have gained popularity for…