Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Zhu, Mingjian"'
Autor:
Chen, Yirui, Huang, Xudong, Zhang, Quan, Li, Wei, Zhu, Mingjian, Yan, Qiangyu, Li, Simiao, Chen, Hanting, Hu, Hailin, Yang, Jie, Liu, Wei, Hu, Jie
The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing a serious threat to the trustworthiness of multimedia data and driving the research of image manipulation detection and loc
Externí odkaz:
http://arxiv.org/abs/2406.16531
Autor:
So, Visal, Suganthi, Midhuna Duraisamy, Menon, Abhishek, Zhu, Mingjian, Zhuravel, Roman, Pu, Han, Wolynes, Peter G., Onuchic, José N., Pagano, Guido
Electron transfer is at the heart of many fundamental physical, chemical, and biochemical processes essential for life. Exact simulation of reactions in these systems is often hindered by the large number of degrees of freedom and by the essential ro
Externí odkaz:
http://arxiv.org/abs/2405.10368
The misuse of AI imagery can have harmful societal effects, prompting the creation of detectors to combat issues like the spread of fake news. Existing methods can effectively detect images generated by seen generators, but it is challenging to detec
Externí odkaz:
http://arxiv.org/abs/2312.08880
Autor:
Zhu, Mingjian, Chen, Hanting, Yan, Qiangyu, Huang, Xudong, Lin, Guanyu, Li, Wei, Tu, Zhijun, Hu, Hailin, Hu, Jie, Wang, Yunhe
The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread of disinformation, thereby leading to the demand for detectors capable of distinguishing between AI-generated fake images and rea
Externí odkaz:
http://arxiv.org/abs/2306.08571
Deep convolutional neural networks (CNNs) are often of sophisticated design with numerous learnable parameters for the accuracy reason. To alleviate the expensive costs of deploying them on mobile devices, recent works have made huge efforts for exca
Externí odkaz:
http://arxiv.org/abs/2106.02898
Vision transformer has achieved competitive performance on a variety of computer vision applications. However, their storage, run-time memory, and computational demands are hindering the deployment to mobile devices. Here we present a vision transfor
Externí odkaz:
http://arxiv.org/abs/2104.08500
Publikováno v:
In Marine Pollution Bulletin January 2024 198
Existing approaches in video captioning concentrate on exploring global frame features in the uncompressed videos, while the free of charge and critical saliency information already encoded in the compressed videos is generally neglected. We propose
Externí odkaz:
http://arxiv.org/abs/2101.00359
Feature pyramid network (FPN) is a critical component in modern object detection frameworks. The performance gain in most of the existing FPN variants is mainly attributed to the increase of computational burden. An attempt to enhance the FPN is enri
Externí odkaz:
http://arxiv.org/abs/2012.00779
Publikováno v:
IECON 2019
Describing a video automatically with natural language is a challenging task in the area of computer vision. In most cases, the on-site situation of great events is reported in news, but the situation of the off-site spectators in the entrance and ex
Externí odkaz:
http://arxiv.org/abs/1911.05449