师资队伍

胡晰远

E-mail:huxiyuan@bjut.edu.cn

个人简介

胡晰远,男,2011年博士毕业于中国科学院自动化研究所,之后留所工作,历任助理研究员、副研究员(硕士生导师),期间于2012和2014年分别在台湾中央研究院和美国哈佛大学任访问学者。2024年入职2138cc太阳集团计算机学院,任教授,博士生导师。

在深度生成模型、低质量图像和视频处理、信号自适应分解理论及应用等领域开展研究工作,出版专著两部(科学出版社,清华大学出版社),牵头/参与制订多项国家标准和公安行业标准。在Nature Communications, IJCV,IEEE T-II,IEEE T-MM,IEEE T-SP,IEEE JBHI, Signal Processing,CVPR,ACM MM,ICASSP等国际主流期刊和会议中发表论文100余篇,授权发明专利10余项,2020年获公安部科学技术奖一等奖,2019年获中国感光学会青年科技奖,2019年获中国计算机学会(CCF)科技进步优秀奖。

学术兼职

中国感光学会,理事

中国刑事科学技术协会,物证鉴定质量管理技术专业委员会,常务委员

International Journal of Intelligent Networks,Associate Editor

International Conference on Data Science and Advanced Analytics (DSAA 2024,CCF-C),Special Session Program Chair

科研项目

1、北京市自然基金-顺义联合创新基金、基于粒度对齐和区域蒸馏的跨模态视觉注意力高效提升方法研究(L247034)、2024/11-2027/10、主持。

2、国家自然科学基金面上项目、融合多模态学习的视频中深度伪造人脸取证技术研究(62172227)、2022/01-2025/12、主持。

3、国家重点研发计划课题、基于大数据贝叶斯方法的伪造视频人像量化检验关键技术研究(2021YFF0602101)、2021/12-2024/11、主持。

4、国家自然科学基金面上项目、基于算子的鲁棒的信号自适应分解算法研究及其应用(61571438)、2016/01-2019/12、主持。

5、国家重点研发计划子课题、伪造图像分析检测与检验关键技术研究(2018YFC0807306-2)、2018/07-2021/06、主持。

6、国家自然科学基金青年基金、混沌信号的自适应分解算法研究及其应用(61201375)、2013/01-2015/12、主持。

7、国家高技术研究发展计划(863计划)课题、面向视频侦查的视频内容可辨识度实时增强技术研究(2013AA014602)、2013/01-2015/12、第二完成人(已获得公安部成果认定,本单位排名第一)。

代表性研究成果

[1]《警用影像处理技术手册》,胡晰远,科学出版社,2017.

[2]《小波与滤波器组设计:理论及其应用》,彭思龙、李保滨、胡晰远,清华大学出版社,2017.

[3]Yuan Wang, Chen Chen, Ning Zhang,Xiyuan Hu*. “WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake Detection”,International Journal of Computer Vision, 2024.(中科院1区,CCF-A,IF:19.5)

[4]Lingzhen Kong, Kangkang Liu,Xiyuan Hu*, Ning Zhang,et. al.,“Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment”,IEEE Internet of Things Journal, 2024.(中科院1区,IF:10.6)

[5]Xiangrui Li, Dongxu Wei,Xiyuan Hu*, Liming Zhang,et. al.,“Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency–original domains”,Information Fusion, vol.106:102262, pp.1-16, 2024.(中科院1区,IF:18.6)

[6]Yuan Wang, Kun Yu, Chen Chen*,Xiyuan Hu, Silong Peng.“Dynamic Graph Learning with Content-guided Spatial-Frequency Relation Reasoning for Deepfake Detection”,IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.(CCF-A,计算机视觉顶会)

[7]Zhenfeng Fan,Xiyuan Hu*, Chen Chen, Silong Peng.“A Landmark-free Approach for Automatic , Dense and Robust Correspondence of 3D Faces”,Pattern Recognition, vol.133:108971, 2023.(中科院1区,CAA-A,IF:8.0)

[8]Qiwei Xie,Xiyuan Hu*, Lei Ren, Zhao Sun.“A Binocular Vision Application in IoT: Realtime Trustworthy Road Condition Detection System in Passable Area”,IEEE Transactions on Industrial Informatics, vol.19, pp.973-983, 2023.(中科院1区,CAA-A+,IF:12.3)

[9]XiyuanHu, JingpengSun,JingpingDong and XuyunZhang, "Auditory Receptive Field Net Based Automatic Snore Detection for Wearable Devices,"IEEE Journal of Biomedical and Health Informatics, vol. 27(5):2255-2263, 2023.(中科院1区,IF:7.7)

[10]Bin He, Yuxin Zhang, Lu Zhao, Zhenwen Sun,Xiyuan Hu, Yanrong Kang, Lei Wang, Zhihui Li, Wei Huang, Zhigang Li, Guidong Xing, Feng Hua, Chengming Wang, Ping Xue*& Ning Zhang*. “Robotic-OCT guided inspection and microsurgery of monolithic storage devices”.Nature Communications, vol.14, 5701, 2023.(Nature子刊,IF:16.6)

[11]Zhihui Li, Yao Liu,Xiyuan Hu*, Guiqiang Wang.“A new uniform framework of source attribution in forensic science”.Nature: Humanit Soc Sci Commun, vol.9, 260, 2022.(Nature子刊,SCI&SSCI)

[12]Xiyuan Hu, Zhenfeng Fan, Xu Jia, et al.,“Towards effective learning for face super-resolution with shape and pose perturbations”,Knowledge-based Systems, vol.220:106938, 2021.(中科院1区,CAA-A,IF:8.8)

[13]Xiyuan Hu, Silong Peng, Baokui Guo, Pengcheng Xu,“Accurate AM-FM Signal Demodulation and Separation using Nonparametric Regularization Method”,Signal Processing, vol.186, pp.108131, 2021.(中科院2区,IF:4.4)

[14]Hao Dou, Chen Chen,Xiyuan Hu*, et al.,“PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution”,ACM Multimedia Conference (ACM MM), 2020.(CCF-A,多媒体顶会)

[15]Zhenfeng Fan,Xiyuan Hu*, Silong Peng, Chen Chen, "Boosting Local Shape Matching for Dense 3D Face Correspondence",IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.10936-10946, 2019.(CCF-A,计算机视觉顶会)

[16]Zhenfeng Fan,Xiyuan Hu*, Silong Peng, Chen Chen, "Dense Semantic and Topological Correspondence of 3D Face without Landmarks",European Conference on Computer Vision (ECCV), pp.541-558, 2018.(CCF-B,计算机视觉顶会)

[17]Xiyuan Hu, Silong Peng, Wen-Liang Hwang, "Adaptive Integral Operators for Signal Separation,"IEEE Signal Processing Letters, vol.22(9):1383-1387, 2015.(中科院2区,IF:3.9)

[18]Xiyuan Hu, Silong Peng, Wen-Liang Hwang. "An integral operator based adaptive signal separation approach",International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2013.(CCF-B,信号处理顶会)

[19]Xiyuan Hu, Silong Peng, Wen-Liang Hwang, "EMD Revisited: A New Understanding of the Envelope and Resolving the Mode-Mixing Problem in AM-FM Signals,"IEEE Transactions on Signal Processing, vol.60(3):1075-1086, 2012.(中科院2区top,CAA-A,IF:5.4)

[20]Xiyuan Hu, Weiping Xia, Silong Peng and Wen-Liang Hwang, "Multiple component predictive coding framework of still images,"IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2011.(CCF-B)