Zobrazeno 1 - 10
of 1 177 674
pro vyhledávání: '"Tan IS"'
Autor:
Lu, Xudong, Chen, Yinghao, Chen, Cheng, Tan, Hui, Chen, Boheng, Xie, Yina, Hu, Rui, Tan, Guanxin, Wu, Renshou, Hu, Yan, Zeng, Yi, Wu, Lei, Bian, Liuyang, Wang, Zhaoxiong, Liu, Long, Yang, Yanzhou, Xiao, Han, Zhou, Aojun, Wen, Yafei, Chen, Xiaoxin, Ren, Shuai, Li, Hongsheng
The emergence and growing popularity of multimodal large language models (MLLMs) have significant potential to enhance various aspects of daily life, from improving communication to facilitating learning and problem-solving. Mobile phones, as essenti
Externí odkaz:
http://arxiv.org/abs/2411.10640
Understanding spatial relations is a crucial cognitive ability for both humans and AI. While current research has predominantly focused on the benchmarking of text-to-image (T2I) models, we propose a more comprehensive evaluation that includes \texti
Externí odkaz:
http://arxiv.org/abs/2411.07664
Autor:
Tan, Zhaorui, Yang, Xi, Pan, Tan, Liu, Tianyi, Jiang, Chen, Guo, Xin, Wang, Qiufeng, Nguyen, Anh, Qi, Yuan, Huang, Kaizhu, Cheng, Yuan
The differences among medical imaging modalities, driven by distinct underlying principles, pose significant challenges for generalization in multi-modal medical tasks. Beyond modality gaps, individual variations, such as differences in organ size an
Externí odkaz:
http://arxiv.org/abs/2411.06106
Confidential computing on GPUs, like NVIDIA H100, mitigates the security risks of outsourced Large Language Models (LLMs) by implementing strong isolation and data encryption. Nonetheless, this encryption incurs a significant performance overhead, re
Externí odkaz:
http://arxiv.org/abs/2411.03357
Autor:
Francisco, Kishi Kobe Yee, Apuhin, Andrane Estelle Carnicer, Tan, Myles Joshua Toledo, Byers, Mickael Cavanaugh, Maravilla, Nicholle Mae Amor Tan, Karim, Hezerul Abdul, AlDahoul, Nouar
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating health disp
Externí odkaz:
http://arxiv.org/abs/2411.02307
Autor:
Feng, Peijie, Tan, Yong, Chong, Mingzhe, Li, Lintao, Zhang, Zongkun, Liu, Fubei, Tan, Yunhua, Wen, Yongzheng
Diffractive deep neural network (D2NN), known for its high speed, low power consumption, and strong parallelism, has been widely applied across various fields, including pattern recognition, image processing, and image transmission. However, existing
Externí odkaz:
http://arxiv.org/abs/2409.20346
Autor:
Yan, Jipeng, Kawara, Shusei, Tan, Qingyuan, Zhu, Jingwen, Wang, Bingxue, Toulemonde, Matthieu, Liu, Honghai, Tan, Ying, Tang, Meng-Xing
Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction
Externí odkaz:
http://arxiv.org/abs/2409.11391
Autor:
Wang, Xin, Tan, Tao, Gao, Yuan, Marcus, Eric, Han, Luyi, Portaluri, Antonio, Zhang, Tianyu, Lu, Chunyao, Liang, Xinglong, Beets-Tan, Regina, Teuwen, Jonas, Mann, Ritse
Precision breast cancer (BC) risk assessment is crucial for developing individualized screening and prevention. Despite the promising potential of recent mammogram (MG) based deep learning models in predicting BC risk, they mostly overlook the 'time-
Externí odkaz:
http://arxiv.org/abs/2409.06887
In this paper, we introduce OminiControl, a highly versatile and parameter-efficient framework that integrates image conditions into pre-trained Diffusion Transformer (DiT) models. At its core, OminiControl leverages a parameter reuse mechanism, enab
Externí odkaz:
http://arxiv.org/abs/2411.15098
Open-source software is a fundamental part of the internet and the cyber supply chain, but its exploitation has become more frequent. While vulnerability detection in OSS has advanced, previous work mainly focuses on static code analysis, neglecting
Externí odkaz:
http://arxiv.org/abs/2411.14829