Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gao, Minghe"'
Autor:
Gao, Minghe, Chen, Shuang, Pang, Liang, Yao, Yuan, Dang, Jisheng, Zhang, Wenqiao, Li, Juncheng, Tang, Siliang, Zhuang, Yueting, Chua, Tat-Seng
The remarkable performance of Multimodal Large Language Models (MLLMs) has unequivocally demonstrated their proficient understanding capabilities in handling a wide array of visual tasks. Nevertheless, the opaque nature of their black-box reasoning p
Externí odkaz:
http://arxiv.org/abs/2404.11129
Autor:
Gao, Minghe, Li, Juncheng, Fei, Hao, Pang, Liang, Ji, Wei, Wang, Guoming, Lv, Zheqi, Zhang, Wenqiao, Tang, Siliang, Zhuang, Yueting
Visual programming, a modular and generalizable paradigm, integrates different modules and Python operators to solve various vision-language tasks. Unlike end-to-end models that need task-specific data, it advances in performing visual processing and
Externí odkaz:
http://arxiv.org/abs/2311.12890
Autor:
Li, Juncheng, Pan, Kaihang, Ge, Zhiqi, Gao, Minghe, Ji, Wei, Zhang, Wenqiao, Chua, Tat-Seng, Tang, Siliang, Zhang, Hanwang, Zhuang, Yueting
Recent advancements in Multimodal Large Language Models (MLLMs) have been utilizing Visual Prompt Generators (VPGs) to convert visual features into tokens that LLMs can recognize. This is achieved by training the VPGs on millions of image-caption pai
Externí odkaz:
http://arxiv.org/abs/2308.04152
Autor:
Li, Juncheng, Gao, Minghe, Wei, Longhui, Tang, Siliang, Zhang, Wenqiao, Li, Mengze, Ji, Wei, Tian, Qi, Chua, Tat-Seng, Zhuang, Yueting
Prompt tuning, a recently emerging paradigm, enables the powerful vision-language pre-training models to adapt to downstream tasks in a parameter -- and data -- efficient way, by learning the ``soft prompts'' to condition frozen pre-training models.
Externí odkaz:
http://arxiv.org/abs/2303.06571
Autor:
Shi, Liyu, Li, Xiaoyan, Hu, Weiming, Chen, Haoyuan, Chen, Jing, Fan, Zizhen, Gao, Minghe, Jing, Yujie, Lu, Guotao, Ma, Deguo, Ma, Zhiyu, Meng, Qingtao, Tang, Dechao, Sun, Hongzan, Grzegorzek, Marcin, Qi, Shouliang, Teng, Yueyang, Li, Chen
Background and Purpose: Colorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide. Timely detection of cancer in its early stages is essential for treating the disease. C
Externí odkaz:
http://arxiv.org/abs/2212.00532
Autor:
Wang, Zhuanhu, Zhang, Puhao, Ma, Yuhua, Tian, Yuxin, Tang, Jiakang, Zhao, Li, Adili, Guliqire, Gai, Fuhe, Qiu, Yulian, Gao, Minghe, Shi, Yanjie
Publikováno v:
In Journal of Environmental Chemical Engineering June 2024 12(3)
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Autor:
Jing, Yujie, Li, Chen, Du, Tianming, Jiang, Tao, Sun, Hongzan, Yang, Jinzhu, Shi, Liyu, Gao, Minghe, Grzegorzek, Marcin, Li, Xiaoyan
Publikováno v:
In Computers in Biology and Medicine October 2023 165
Autor:
Ma, Yuhua, Aihemaiti, Xiadiye, Qi, Kezhen, Wang, Shiyin, Shi, Yanjie, Wang, Zhuanhu, Gao, Minghe, Gai, Fuhe, Qiu, Yulian
Publikováno v:
In Journal of Materials Science & Technology 1 September 2023 156:217-229
Autor:
Li, Yunpeng, Wang, Xin, Wang, Zhuanhu, Li, Tingting, Shi, Yanjie, Ma, Yuhua, Wang, Shiyin, Li, Chen, Gao, Minghe, Gai, Fuhe
Publikováno v:
In Journal of Physics and Chemistry of Solids August 2023 179
Publikováno v:
In Chemical Physics Letters May 2023 818