Zobrazeno 1 - 10
of 83 936
pro vyhledávání: '"Gan, P"'
Autor:
Bai, Jisheng, Liu, Haohe, Wang, Mou, Shi, Dongyuan, Wang, Wenwu, Plumbley, Mark D., Gan, Woon-Seng, Chen, Jianfeng
With the emergence of audio-language models, constructing large-scale paired audio-language datasets has become essential yet challenging for model development, primarily due to the time-intensive and labour-heavy demands involved. While large langua
Externí odkaz:
http://arxiv.org/abs/2411.18953
Autor:
Bradshaw, Peter, Cao, Tianyue, Chen, Atlas, Dean, Braden, Gan, Siyu, Garcia, Ramon I., Krishnaiyer, Amit, McCourt, Grace, Murty, Arvind
We study the paintability, an on-line version of choosability, of complete multipartite graphs. We do this by considering an equivalent chip game introduced by Duraj, Gutowski, and Kozik. We consider complete multipartite graphs with $ n $ parts of s
Externí odkaz:
http://arxiv.org/abs/2411.19462
Existing methods to generate aesthetic QR codes, such as image and style transfer techniques, tend to compromise either the visual appeal or the scannability of QR codes when they incorporate human face identity. Addressing these imperfections, we pr
Externí odkaz:
http://arxiv.org/abs/2411.19246
Federated Graph Learning (FGL) is a distributed machine learning paradigm based on graph neural networks, enabling secure and collaborative modeling of local graph data among clients. However, label noise can degrade the global model's generalization
Externí odkaz:
http://arxiv.org/abs/2411.18905
Autor:
Shinde, Nimita, Zhu, Yanan, Wang, Wei, Li, Wangyao, Lin, Yuting, Gan, Gregory N, Lominska, Christopher, Rotondo, Ronny, Chen, Ronald C, Gao, Hao
Objective: Proton spot-scanning arc therapy (ARC) is an emerging modality that can improve the high-dose conformity to targets compared with standard intensity-modulated proton therapy (IMPT). However, the efficient treatment delivery of ARC is chall
Externí odkaz:
http://arxiv.org/abs/2411.17578
Autor:
Tian, Yuxin, Li, Yaxuan, Xiong, Bing, Zhang, Junwen, Sun, Changzheng, Hao, Zhibiao, Wang, Jian, Wang, Lai, Han, Yanjun, Li, Hongtao, Gan, Lin, Chi, Nan, Luo, Yi
Current wireless communication systems are increasingly constrained by insufficient bandwidth and limited power output, impeding the achievement of ultra-high-speed data transmission. The terahertz (THz) range offers greater bandwidth, but it also im
Externí odkaz:
http://arxiv.org/abs/2411.17297
Diffusion bridges (DB) have emerged as a promising alternative to diffusion models for imaging inverse problems, achieving faster sampling by directly bridging low- and high-quality image distributions. While incorporating measurement consistency has
Externí odkaz:
http://arxiv.org/abs/2411.16535
Autor:
He, Haoyang, Zhang, Jiangning, Cai, Yuxuan, Chen, Hongxu, Hu, Xiaobin, Gan, Zhenye, Wang, Yabiao, Wang, Chengjie, Wu, Yunsheng, Xie, Lei
Previous research on lightweight models has primarily focused on CNNs and Transformer-based designs. CNNs, with their local receptive fields, struggle to capture long-range dependencies, while Transformers, despite their global modeling capabilities,
Externí odkaz:
http://arxiv.org/abs/2411.15941
Autor:
Yang, Yuncong, Yang, Han, Zhou, Jiachen, Chen, Peihao, Zhang, Hongxin, Du, Yilun, Gan, Chuang
Constructing compact and informative 3D scene representations is essential for effective embodied exploration and reasoning, especially in complex environments over long periods. Existing scene representations, such as object-centric 3D scene graphs,
Externí odkaz:
http://arxiv.org/abs/2411.17735
Autor:
You, Junwei, Gan, Rui, Tang, Weizhe, Huang, Zilin, Liu, Jiaxi, Jiang, Zhuoyu, Shi, Haotian, Wu, Keshu, Long, Keke, Fu, Sicheng, Chen, Sikai, Ran, Bin
Vehicle trajectory prediction is crucial for advancing autonomous driving and advanced driver assistance systems (ADAS). Although deep learning-based approaches - especially those utilizing transformer-based and generative models - have markedly impr
Externí odkaz:
http://arxiv.org/abs/2411.16747