Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Ren, Weiming"'
Autor:
Wang, Yubo, Ma, Xueguang, Zhang, Ge, Ni, Yuansheng, Chandra, Abhranil, Guo, Shiguang, Ren, Weiming, Arulraj, Aaran, He, Xuan, Jiang, Ziyan, Li, Tianle, Ku, Max, Wang, Kai, Zhuang, Alex, Fan, Rongqi, Yue, Xiang, Chen, Wenhu
In the age of large-scale language models, benchmarks like the Massive Multitask Language Understanding (MMLU) have been pivotal in pushing the boundaries of what AI can achieve in language comprehension and reasoning across diverse domains. However,
Externí odkaz:
http://arxiv.org/abs/2406.01574
Diffusion generative models have recently become a robust technique for producing and modifying coherent, high-quality video. This survey offers a systematic overview of critical elements of diffusion models for video generation, covering application
Externí odkaz:
http://arxiv.org/abs/2405.03150
In the dynamic field of digital content creation using generative models, state-of-the-art video editing models still do not offer the level of quality and control that users desire. Previous works on video editing either extended from image-based ge
Externí odkaz:
http://arxiv.org/abs/2403.14468
Autor:
Zhuang, Alex, Zhang, Ge, Zheng, Tianyu, Du, Xinrun, Wang, Junjie, Ren, Weiming, Huang, Stephen W., Fu, Jie, Yue, Xiang, Chen, Wenhu
Structured data sources, such as tables, graphs, and databases, are ubiquitous knowledge sources. Despite the demonstrated capabilities of large language models (LLMs) on plain text, their proficiency in interpreting and utilizing structured data rem
Externí odkaz:
http://arxiv.org/abs/2402.16671
Image-to-video (I2V) generation aims to use the initial frame (alongside a text prompt) to create a video sequence. A grand challenge in I2V generation is to maintain visual consistency throughout the video: existing methods often struggle to preserv
Externí odkaz:
http://arxiv.org/abs/2402.04324
Autor:
Yue, Xiang, Ni, Yuansheng, Zhang, Kai, Zheng, Tianyu, Liu, Ruoqi, Zhang, Ge, Stevens, Samuel, Jiang, Dongfu, Ren, Weiming, Sun, Yuxuan, Wei, Cong, Yu, Botao, Yuan, Ruibin, Sun, Renliang, Yin, Ming, Zheng, Boyuan, Yang, Zhenzhu, Liu, Yibo, Huang, Wenhao, Sun, Huan, Su, Yu, Chen, Wenhu
We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning. MMMU includes 11.5K meticulously collected multimodal questions from colle
Externí odkaz:
http://arxiv.org/abs/2311.16502
There are several opportunities for automation in healthcare that can improve clinician throughput. One such example is assistive tools to document diagnosis codes when clinicians write notes. We study the automation of medical code prediction using
Externí odkaz:
http://arxiv.org/abs/2208.02301
Autor:
Lu, Zhou, Zhang, Fuying, Yang, Yiqi, Zhang, Hong, Liu, Jianguo, Hou, Zhiguang, Zhao, Dan, Meng, Xinxin, Ren, Weiming, Lu, Zhongbin
Publikováno v:
In Science of the Total Environment 1 October 2024 945
Publikováno v:
In Knowledge-Based Systems 27 September 2024 300
Autor:
Jiang, Lingxi, Qi, Yao, Yang, Lei, Miao, Yangbao, Ren, Weiming, Liu, Hongmei, Huang, Yi, Huang, Shan, Chen, Shiyin, Shi, Yi, Cai, Lulu
Publikováno v:
In Asian Journal of Pharmaceutical Sciences September 2023 18(5)