Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Luo, Junwei"'
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
Single point supervised oriented object detection has gained attention and made initial progress within the community. Diverse from those approaches relying on one-shot samples or powerful pretrained models (e.g. SAM), PointOBB has shown promise due
Externí odkaz:
http://arxiv.org/abs/2410.08210
Autor:
Luo, Junwei, Pang, Zhen, Zhang, Yongjun, Wang, Tingzhu, Wang, Linlin, Dang, Bo, Lao, Jiangwei, Wang, Jian, Chen, Jingdong, Tan, Yihua, Li, Yansheng
Remote Sensing Large Multi-Modal Models (RSLMMs) are developing rapidly and showcase significant capabilities in remote sensing imagery (RSI) comprehension. However, due to the limitations of existing datasets, RSLMMs have shortcomings in understandi
Externí odkaz:
http://arxiv.org/abs/2406.10100
Autor:
Li, Yansheng, Wang, Linlin, Wang, Tingzhu, Yang, Xue, Luo, Junwei, Wang, Qi, Deng, Youming, Wang, Wenbin, Sun, Xian, Li, Haifeng, Dang, Bo, Zhang, Yongjun, Yu, Yi, Yan, Junchi
Scene graph generation (SGG) in satellite imagery (SAI) benefits promoting understanding of geospatial scenarios from perception to cognition. In SAI, objects exhibit great variations in scales and aspect ratios, and there exist rich relationships be
Externí odkaz:
http://arxiv.org/abs/2406.09410
Bridge detection in remote sensing images (RSIs) plays a crucial role in various applications, but it poses unique challenges compared to the detection of other objects. In RSIs, bridges exhibit considerable variations in terms of their spatial scale
Externí odkaz:
http://arxiv.org/abs/2312.02481
Autor:
Guo, Hengchang, Zhang, Qilong, Luo, Junwei, Guo, Feng, Zhang, Wenbin, Su, Xiaodong, Li, Minglei
Deep learning based blind watermarking works have gradually emerged and achieved impressive performance. However, previous deep watermarking studies mainly focus on fixed low-resolution images while paying less attention to arbitrary resolution image
Externí odkaz:
http://arxiv.org/abs/2310.14532
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2969-2979 (2024)
Privacy protection plays a crucial role in recommender systems as it helps to protect users’ sensitive information from disclosure risks. Recent recommendation unlearning has attracted increasing attention as an effective method of privacy protecti
Externí odkaz:
https://doaj.org/article/6cb7d30c331e4180b6b23512fe3e3f24
Publikováno v:
In Computers in Biology and Medicine September 2024 179
Autor:
Luo, Junwei1 (AUTHOR), Wang, Jiayi1 (AUTHOR), Zhai, Haixia1 (AUTHOR), Wang, Junfeng1 (AUTHOR) wangjunfeng@hpu.edu.cn
Publikováno v:
BMC Bioinformatics. 8/19/2024, Vol. 25 Issue 1, p1-14. 14p.
With the rapid progress of deepfake techniques in recent years, facial video forgery can generate highly deceptive video contents and bring severe security threats. And detection of such forgery videos is much more urgent and challenging. Most existi
Externí odkaz:
http://arxiv.org/abs/2106.12832
Autor:
Luo, Huimin, Yin, Weijie, Wang, Jianlin, Zhang, Ge, Liang, Wenjuan, Luo, Junwei, Yan, Chaokun
Publikováno v:
In iScience 15 March 2024 27(3)