Zobrazeno 1 - 10
of 61 733
pro vyhledávání: '"An, Haoran"'
Autor:
Lai, Haoran, Jiang, Zihang, Yao, Qingsong, Wang, Rongsheng, He, Zhiyang, Tao, Xiaodong, Wei, Wei, Lv, Weifu, Zhou, S. Kevin
The development of 3D medical vision-language models holds significant potential for disease diagnosis and patient treatment. However, compared to 2D medical images, 3D medical images, such as CT scans, face challenges related to limited training dat
Externí odkaz:
http://arxiv.org/abs/2410.14200
Autor:
Du, Chengyu, Han, Jinyi, Ying, Yizhou, Chen, Aili, He, Qianyu, Zhao, Haokun, Xia, Sirui, Guo, Haoran, Liang, Jiaqing, Chen, Zulong, Li, Liangyue, Xiao, Yanghua
Recent advancements in large language models (LLMs) have demonstrated that progressive refinement, rather than providing a single answer, results in more accurate and thoughtful outputs. However, existing methods often rely heavily on supervision sig
Externí odkaz:
http://arxiv.org/abs/2410.13413
The development of large language models (LLMs) has significantly enhanced the capabilities of multimodal LLMs (MLLMs) as general assistants. However, lack of user-specific knowledge still restricts their application in human's daily life. In this pa
Externí odkaz:
http://arxiv.org/abs/2410.13360
Incremental Few-Shot Semantic Segmentation (iFSS) tackles a task that requires a model to continually expand its segmentation capability on novel classes using only a few annotated examples. Typical incremental approaches encounter a challenge that t
Externí odkaz:
http://arxiv.org/abs/2410.13094
Autor:
Xia, Peng, Zhu, Kangyu, Li, Haoran, Wang, Tianze, Shi, Weijia, Wang, Sheng, Zhang, Linjun, Zou, James, Yao, Huaxiu
Artificial Intelligence (AI) has demonstrated significant potential in healthcare, particularly in disease diagnosis and treatment planning. Recent progress in Medical Large Vision-Language Models (Med-LVLMs) has opened up new possibilities for inter
Externí odkaz:
http://arxiv.org/abs/2410.13085
Autor:
Guan, Haoran, Fan, Yuwei
CholeskyQR-type algorithms are very popular in both academia and industry in recent years. It could make a balance between the computational cost, accuracy and speed. CholeskyQR2 provides numerical stability of orthogonality and Shifted CholeskyQR3 d
Externí odkaz:
http://arxiv.org/abs/2410.09389
Vocabulary adaptation, which integrates new vocabulary into pre-trained language models (LMs), enables expansion to new languages and mitigates token over-fragmentation. However, existing approaches are limited by their reliance on heuristic or exter
Externí odkaz:
http://arxiv.org/abs/2410.09644
Goal-conditioned hierarchical reinforcement learning (HRL) decomposes complex reaching tasks into a sequence of simple subgoal-conditioned tasks, showing significant promise for addressing long-horizon planning in large-scale environments. This paper
Externí odkaz:
http://arxiv.org/abs/2410.09505
Autor:
Chen, Xiaoxue, Zheng, Jv, Huang, Hao, Xu, Haoran, Gu, Weihao, Chen, Kangliang, xiang, He, Gao, Huan-ang, Zhao, Hao, Zhou, Guyue, Zhang, Yaqin
The generation of high-quality 3D car assets is essential for various applications, including video games, autonomous driving, and virtual reality. Current 3D generation methods utilizing NeRF or 3D-GS as representations for 3D objects, generate a La
Externí odkaz:
http://arxiv.org/abs/2410.08181
Autor:
Wu, Yunzhuo, Wu, Tong, Chen, Haoran, Cui, Yongwei, Xu, Hongyue, Jiang, Nan, Cheng, Zhen, Wu, Yizheng
Enabling field-free current-induced switching of perpendicular magnetization is essential for advancing spin-orbit-torque magnetic random access memory technology. Our research on the Pt/Co/Ru/RuO2(101) system has successfully demonstrated field-free
Externí odkaz:
http://arxiv.org/abs/2410.07946