KanDanGroup (KDG)
成员
夏超
2018年6月博士毕业于中国科学院信息工程研究所，同年7月入职北京电子科技学院，任助理研究员，硕士研究生导师。
主要研究方向为信息隐藏、多媒体安全等。以第一作者在TCSVT、IH&MMSec、ICIP等领域内重要期刊和会议上发表多篇论文。主持国家自然科学基金青年基金1项。CSIG数字媒体取证与安全专委会委员、CSIG视觉大数据专委会委员。
邮箱：xiachao@besti.edu.cn
刘亚奇
2020年9月毕业于中国科学院信息工程研究所信息安全国家重点实验室，网络空间安全专业博士研究生。2020年10月入职北京电子科技学院，任助理研究员，硕士研究生导师。
主要研究方向为信息内容安全、多媒体取证、图像处理、人工智能、模式识别。第一作者发表CCF-A类期刊2篇（信息安全顶刊TIFS、图像处理顶刊TIP），发表SCI期刊和国际会议论文多篇。主持国家自然科学基金青年基金一项。CSIG数字媒体取证与安全专委会、CSIG视觉大数据专委会委员。
邮箱：liuyaqi@besti.edu.cn
个人主页：刘亚奇个人主页
欢迎对多媒体安全、人工智能感兴趣的同学加入我们！
招收网络空间安全、计算机技术硕士研究生。
研究成果
期刊
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Liu Yaqi, Xia Chao, Zhu Xiaobin, Xu Shengwei. Two-Stage Copy-Move Forgery Detection with Self Deep Matching and Proposal SuperGlue. IEEE Transactions on Image Processing (TIP), 2022, 31: 541-555. (CCF-A，中科院1区，SCI，IF=10.856，图像处理顶级期刊) - paper：IEEE/arXiv
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Xia Chao, Guan Qingxiao, et al. Improved JPEG Phase-Aware Steganalysis Features Using Multiple Filter Sizes and Difference Images. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, 30(11): 4100-4113. (CCF-B，中科院1区，SCI，IF=4.685)- paper：IEEE
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Liu Yaqi, Zhu Xiaobin, Zhao Xianfeng, Cao Yun. Adversarial Learning for Constrained Image Splicing Detection and Localization based on Atrous Convolution. IEEE Transactions on Information Forensics and Security (TIFS), 2019, 14(10): 2551-2566. (CCF-A，中科院1区，SCI，IF=7.178，信息安全顶级期刊) - paper：IEEE - code: GitHub
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Liu Yaqi, Lv Binbin, Jin Xin, Chen Xiaoyu, Zhang Xiaokun. TBFormer: Two-Branch Transformer for Image Forgery Localization. IEEE Signal Processing Letters (SPL), 2023. (CCF-C，中科院2区，SCI，IF=3.201) - paper：arXiv - code: GitHub
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Liu Yaqi, Guan Qingxiao, Zhao Xianfeng. Copy-move forgery detection based on convolutional kernel network. Multimedia Tools and Applications (MTA), 2018, 77: 18269–18293. (CCF-C，中科院3区，SCI，IF=2.757) - paper：Springer
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Xia Chao, Guan Qingxiao, et al. Highly accurate real-time image steganalysis based on GPU. Journal of Real-Time Image Processing (JRTIP), 2018, 14: 223–236. (中科院3区，SCI，IF=2.358)- paper：Springer
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Liu Yaqi, Zhang Xiaoyu, Zhu Xiaobin, et al. ListNet-based object proposals ranking. Neurocomputing, 2017, 267: 182-194. (CCF-C，中科院2区，SCI，IF=5.719) - paper：Elsevier
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夏超, 刘亚奇, 等人. 基于非线性残差的JPEG图像隐写分析. 通信学报, 2023, 44(1): 142-152. - paper：通信学报
会议
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Xia Chao, Liu Yaqi, et al. Steganalysis for Small-Scale Training Image Pairs with Cover-Stego Feature Difference Model. 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Wuhan, China, 2022, 233-238. (CCF-C) - paper：IEEE
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Liu Yaqi, Xia Chao, et al. Pyramid Copy-move Forgery Detection Using Adversarial Optimized Self Deep Matching Network. 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Wuhan, China, 2022, 739-746. (CCF-C) - paper：IEEE
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Liu Yaqi, Xia Chao, et al. Three-Stage Salient Object Detection based on Integrated Priors. 2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Penang, Malaysia, 2022, 1-4. - paper：IEEE
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Liu Yaqi, Guan Qingxiao, Zhao Xianfeng, Cao Yun. Image Forgery Localization based on Multi-Scale Convolutional Neural Networks. Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec’18), Innsbruck, Austria, 2018, 85-90. (CCF-C) - paper：ACM/arXiv - code: GitHub
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Xia Chao, Guan Qingxiao, et al. Improving GFR Steganalysis Features by Using Gabor Symmetry and Weighted Histograms. Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec’17), Philadelphia, PA, USA, 2017, 55-66. (CCF-C，信息隐藏领域重要会议)- paper：ACM
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Liu Yaqi, Cai Qiang, Zhu Xiaobin, Cao Jian, Li Haisheng. Saliency detection using two-stage scoring. Proceedings of 2015 IEEE International Conference on Image Processing (ICIP’15), Quebec City, QC, Canada, 2015, 4062-4066. (CCF-C) - paper：IEEE
项目
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基于关键深度特征匹配的有约束图像拼接检测与定位研究，国家自然科学基金青年基金, 2022.01~2024.12，主持人：刘亚奇。
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少量样本对的情境下隐写分析研究，国家自然科学基金青年基金, 2021.01~2023.12，主持人：夏超。