Zobrazeno 1 - 10
of 726
pro vyhledávání: '"Zhou Wenbo"'
Autor:
Ying, Zonghao, Liu, Aishan, Liang, Siyuan, Huang, Lei, Guo, Jinyang, Zhou, Wenbo, Liu, Xianglong, Tao, Dacheng
Multimodal Large Language Models (MLLMs) are showing strong safety concerns (e.g., generating harmful outputs for users), which motivates the development of safety evaluation benchmarks. However, we observe that existing safety benchmarks for MLLMs s
Externí odkaz:
http://arxiv.org/abs/2410.18927
Autor:
Tang, Kunsheng, Zhou, Wenbo, Zhang, Jie, Liu, Aishan, Deng, Gelei, Li, Shuai, Qi, Peigui, Zhang, Weiming, Zhang, Tianwei, Yu, Nenghai
Large language models (LLMs) have exhibited remarkable capabilities in natural language generation, but they have also been observed to magnify societal biases, particularly those related to gender. In response to this issue, several benchmarks have
Externí odkaz:
http://arxiv.org/abs/2408.12494
Autor:
Liu, Aishan, Zhou, Yuguang, Liu, Xianglong, Zhang, Tianyuan, Liang, Siyuan, Wang, Jiakai, Pu, Yanjun, Li, Tianlin, Zhang, Junqi, Zhou, Wenbo, Guo, Qing, Tao, Dacheng
Large language models (LLMs) have transformed the development of embodied intelligence. By providing a few contextual demonstrations, developers can utilize the extensive internal knowledge of LLMs to effortlessly translate complex tasks described in
Externí odkaz:
http://arxiv.org/abs/2408.02882
Autor:
Fang, Ziyuan, Zhao, Hanqing, Wei, Tianyi, Zhou, Wenbo, Wan, Ming, Wang, Zhanyi, Zhang, Weiming, Yu, Nenghai
Previous deepfake detection methods mostly depend on low-level textural features vulnerable to perturbations and fall short of detecting unseen forgery methods. In contrast, high-level semantic features are less susceptible to perturbations and not l
Externí odkaz:
http://arxiv.org/abs/2407.19079
Autor:
Sun, Ke, Cao, Jian, Wang, Qi, Tian, Linrui, Zhang, Xindi, Zhuo, Lian, Zhang, Bang, Bo, Liefeng, Zhou, Wenbo, Zhang, Weiming, Gao, Daiheng
Virtual Try-On (VTON) has become a transformative technology, empowering users to experiment with fashion without ever having to physically try on clothing. However, existing methods often struggle with generating high-fidelity and detail-consistent
Externí odkaz:
http://arxiv.org/abs/2407.16224
Autor:
Zhou, Xinghui, Zhou, Wenbo, Wei, Tianyi, Chen, Shen, Yao, Taiping, Ding, Shouhong, Zhang, Weiming, Yu, Nenghai
Face swapping has become a prominent research area in computer vision and image processing due to rapid technological advancements. The metric of measuring the quality in most face swapping methods relies on several distances between the manipulated
Externí odkaz:
http://arxiv.org/abs/2406.01884
Autor:
Feng, Weitao, Zhou, Wenbo, He, Jiyan, Zhang, Jie, Wei, Tianyi, Li, Guanlin, Zhang, Tianwei, Zhang, Weiming, Yu, Nenghai
Diffusion models have achieved remarkable success in generating high-quality images. Recently, the open-source models represented by Stable Diffusion (SD) are thriving and are accessible for customization, giving rise to a vibrant community of creato
Externí odkaz:
http://arxiv.org/abs/2405.11135
Autor:
He, Jiyan, Feng, Weitao, Min, Yaosen, Yi, Jingwei, Tang, Kunsheng, Li, Shuai, Zhang, Jie, Chen, Kejiang, Zhou, Wenbo, Xie, Xing, Zhang, Weiming, Yu, Nenghai, Zheng, Shuxin
The expanding application of Artificial Intelligence (AI) in scientific fields presents unprecedented opportunities for discovery and innovation. However, this growth is not without risks. AI models in science, if misused, can amplify risks like crea
Externí odkaz:
http://arxiv.org/abs/2312.06632
Publikováno v:
Cybernetics and Information Technologies, Vol 16, Iss 6, Pp 245-255 (2016)
In the era of big data, people have to face information filtration problem. For those cases when users do not or cannot express their demands clearly, recommender system can analyse user’s information more proactive and intelligent to filter out so
Externí odkaz:
https://doaj.org/article/c4ebfd4cb1ef4c5b9d73de1ab4a9132c
The widespread use of face recognition technology has given rise to privacy concerns, as many individuals are worried about the collection and utilization of their facial data. To address these concerns, researchers are actively exploring the concept
Externí odkaz:
http://arxiv.org/abs/2310.16061