Zobrazeno 1 - 10
of 691
pro vyhledávání: '"He, Lifang"'
Autor:
Zhou, Rong, Yuan, Zhengqing, Yan, Zhiling, Sun, Weixiang, Zhang, Kai, Li, Yiwei, Ye, Yanfang, Li, Xiang, He, Lifang, Sun, Lichao
Biomedical image segmentation is crucial for accurately diagnosing and analyzing various diseases. However, Convolutional Neural Networks (CNNs) and Transformers, the most commonly used architectures for this task, struggle to effectively capture lon
Externí odkaz:
http://arxiv.org/abs/2409.11299
Autor:
Yan, Zhiling, Sun, Weixiang, Zhou, Rong, Yuan, Zhengqing, Zhang, Kai, Li, Yiwei, Liu, Tianming, Li, Quanzheng, Li, Xiang, He, Lifang, Sun, Lichao
Medical image segmentation and video object segmentation are essential for diagnosing and analyzing diseases by identifying and measuring biological structures. Recent advances in natural domain have been driven by foundation models like the Segment
Externí odkaz:
http://arxiv.org/abs/2408.03286
Autor:
Sun, Weixiang, You, Xiaocao, Zheng, Ruizhe, Yuan, Zhengqing, Li, Xiang, He, Lifang, Li, Quanzheng, Sun, Lichao
Generative models hold promise for revolutionizing medical education, robot-assisted surgery, and data augmentation for medical AI development. Diffusion models can now generate realistic images from text prompts, while recent advancements have demon
Externí odkaz:
http://arxiv.org/abs/2407.08944
Vision Transformers (ViTs) have achieved remarkable performance in various image classification tasks by leveraging the attention mechanism to process image patches as tokens. However, the high computational and memory demands of ViTs pose significan
Externí odkaz:
http://arxiv.org/abs/2406.18051
Autor:
Tang, Haoteng, Liu, Guodong, Dai, Siyuan, Ye, Kai, Zhao, Kun, Wang, Wenlu, Yang, Carl, He, Lifang, Leow, Alex, Thompson, Paul, Huang, Heng, Zhan, Liang
The MRI-derived brain network serves as a pivotal instrument in elucidating both the structural and functional aspects of the brain, encompassing the ramifications of diseases and developmental processes. However, prevailing methodologies, often focu
Externí odkaz:
http://arxiv.org/abs/2405.13190
Autor:
Han, Kaiqiao, Yang, Yi, Huang, Zijie, Kan, Xuan, Yang, Yang, Guo, Ying, He, Lifang, Zhan, Liang, Sun, Yizhou, Wang, Wei, Yang, Carl
Brain network analysis is vital for understanding the neural interactions regarding brain structures and functions, and identifying potential biomarkers for clinical phenotypes. However, widely used brain signals such as Blood Oxygen Level Dependent
Externí odkaz:
http://arxiv.org/abs/2405.00077
Sora is the first large-scale generalist video generation model that garnered significant attention across society. Since its launch by OpenAI in February 2024, no other video generation models have paralleled {Sora}'s performance or its capacity to
Externí odkaz:
http://arxiv.org/abs/2403.13248
Autor:
Liu, Yixin, Zhang, Kai, Li, Yuan, Yan, Zhiling, Gao, Chujie, Chen, Ruoxi, Yuan, Zhengqing, Huang, Yue, Sun, Hanchi, Gao, Jianfeng, He, Lifang, Sun, Lichao
Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The model is trained to generate videos of realistic or imaginative scenes from text instructions and show potential in simulating the physical world. Based on public t
Externí odkaz:
http://arxiv.org/abs/2402.17177
Autor:
Huang, Yue, Sun, Lichao, Wang, Haoran, Wu, Siyuan, Zhang, Qihui, Li, Yuan, Gao, Chujie, Huang, Yixin, Lyu, Wenhan, Zhang, Yixuan, Li, Xiner, Liu, Zhengliang, Liu, Yixin, Wang, Yijue, Zhang, Zhikun, Vidgen, Bertie, Kailkhura, Bhavya, Xiong, Caiming, Xiao, Chaowei, Li, Chunyuan, Xing, Eric, Huang, Furong, Liu, Hao, Ji, Heng, Wang, Hongyi, Zhang, Huan, Yao, Huaxiu, Kellis, Manolis, Zitnik, Marinka, Jiang, Meng, Bansal, Mohit, Zou, James, Pei, Jian, Liu, Jian, Gao, Jianfeng, Han, Jiawei, Zhao, Jieyu, Tang, Jiliang, Wang, Jindong, Vanschoren, Joaquin, Mitchell, John, Shu, Kai, Xu, Kaidi, Chang, Kai-Wei, He, Lifang, Huang, Lifu, Backes, Michael, Gong, Neil Zhenqiang, Yu, Philip S., Chen, Pin-Yu, Gu, Quanquan, Xu, Ran, Ying, Rex, Ji, Shuiwang, Jana, Suman, Chen, Tianlong, Liu, Tianming, Zhou, Tianyi, Wang, William, Li, Xiang, Zhang, Xiangliang, Wang, Xiao, Xie, Xing, Chen, Xun, Wang, Xuyu, Liu, Yan, Ye, Yanfang, Cao, Yinzhi, Chen, Yong, Zhao, Yue
Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs present many challenges, particularly in the realm of trustworthiness. Ther
Externí odkaz:
http://arxiv.org/abs/2401.05561
Autor:
Wen, Zichen, Ling, Yawen, Ren, Yazhou, Wu, Tianyi, Chen, Jianpeng, Pu, Xiaorong, Hao, Zhifeng, He, Lifang
Recently there is a growing focus on graph data, and multi-view graph clustering has become a popular area of research interest. Most of the existing methods are only applicable to homophilous graphs, yet the extensive real-world graph data can hardl
Externí odkaz:
http://arxiv.org/abs/2401.02682