Zobrazeno 1 - 10
of 681 846
pro vyhledávání: '"Lai BY"'
Autor:
Tong, Bo, Lai, Bokai, Zhou, Yiyi, Luo, Gen, Shen, Yunhang, Li, Ke, Sun, Xiaoshuai, Ji, Rongrong
Despite a big leap forward in capability, multimodal large language models (MLLMs) tend to behave like a sloth in practical use, i.e., slow response and large latency. Recent efforts are devoted to building tiny MLLMs for better efficiency, but the p
Externí odkaz:
http://arxiv.org/abs/2412.04317
Autor:
Galappaththige, Chamuditha Jayanga, Lai, Jason, Windrim, Lloyd, Dansereau, Donald, Suenderhauf, Niko, Miller, Dimity
Autonomous agents often require accurate methods for detecting and localizing changes in their environment, particularly when observations are captured from unconstrained and inconsistent viewpoints. We propose a novel label-free, pose-agnostic chang
Externí odkaz:
http://arxiv.org/abs/2412.03911
Structural health monitoring (SHM) has experienced significant advancements in recent decades, accumulating massive monitoring data. Data anomalies inevitably exist in monitoring data, posing significant challenges to their effective utilization. Rec
Externí odkaz:
http://arxiv.org/abs/2412.03880
Autor:
Wu, Tuo, Zhi, Kangda, Yao, Junteng, Lai, Xiazhi, Zheng, Jianchao, Niu, Hong, Elkashlan, Maged, Wong, Kai-Kit, Chae, Chan-Byoung, Ding, Zhiguo, Karagiannidis, George K., Debbah, Merouane, Yuen, Chau
Fluid antenna system (FAS) as a new version of reconfigurable antenna technologies promoting shape and position flexibility, has emerged as an exciting and possibly transformative technology for wireless communications systems. FAS represents any sof
Externí odkaz:
http://arxiv.org/abs/2412.03839
The reconstruction of indoor scenes remains challenging due to the inherent complexity of spatial structures and the prevalence of textureless regions. Recent advancements in 3D Gaussian Splatting have improved novel view synthesis with accelerated p
Externí odkaz:
http://arxiv.org/abs/2412.03428
Autor:
Yang, Zhen-Qun, Cao, Jiannong, Li, Xiaoyin, Wang, Kaile, Zheng, Xinzhe, Poon, Kai Cheung Franky, Lai, Daniel
Publikováno v:
pp 117-130, LNCS, volume 14797, 2024
The use of Artificial Intelligence (AI) has gained momentum in education. However, the use of AI in K-12 education is still in its nascent stages, and further research and development is needed to realize its potential. Moreover, the creation of a co
Externí odkaz:
http://arxiv.org/abs/2412.03292
Autor:
McGowan, Jamie, Lai, Wei Sheng, Chen, Weibin, Aldridge, Henry, Clarke, Jools, Garcia, Jezabel, Xia, Rui, Liang, Yilei, Hennequin, Guillaume, Bernacchia, Alberto
In many domains, the most successful AI models tend to be the largest, indeed often too large to be handled by AI players with limited computational resources. To mitigate this, a number of compression methods have been developed, including methods t
Externí odkaz:
http://arxiv.org/abs/2412.02328
Transfer learning enhances model performance in a target population with limited samples by leveraging knowledge from related studies. While many works focus on improving predictive performance, challenges of statistical inference persist. Bayesian a
Externí odkaz:
http://arxiv.org/abs/2412.02986
Autor:
Li, Yongcheng, Cai, Lingcong, Lu, Ying, Fu, Xianghua, Han, Xiao, Li, Ma, Lai, Wenxing, Zhang, Xiangzhong, Fan, Xiaomao
Blood cell identification is critical for hematological analysis as it aids physicians in diagnosing various blood-related diseases. In real-world scenarios, blood cell image datasets often present the issues of domain shift and data imbalance, posin
Externí odkaz:
http://arxiv.org/abs/2412.02976
Autor:
Xing, Sen, Zhong, Muyan, Lai, Zeqiang, Li, Liangchen, Liu, Jiawen, Wang, Yaohui, Dai, Jifeng, Wang, Wenhai
In this work, we explore a cost-effective framework for multilingual image generation. We find that, unlike models tuned on high-quality images with multilingual annotations, leveraging text encoders pre-trained on widely available, noisy Internet im
Externí odkaz:
http://arxiv.org/abs/2412.01271