2019年发表的期刊论文
[1]R Li , M Zhu , J Li , M Bienkowski , N Foster , H Xu , T Ard , I Bowman , H Hintiryan , C Zhou , M Veldman, X Yang, J Zhang*, H Dong*. 2019. Precise segmentation of densely interweaving neuron clusters using G-cut. Nature Communications, 10(1):1549. (JCR 1, SCI/EI)
[2]*Wang H, Xiao G, Yan Y, Suter D. 2019. Searching for representative modes on hypergraphs for robust geometric model fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 41(3):697-711. (CCF A, JCR 1, IEEE: SCI/EI)
[3]Xiao G, *Wang H, Yan Y, Suter D. 2019. Superpixel-guided two-view deterministic geometric model fitting. International Journal of Computer Vision (IJCV), 127(4):323-339. (CCF A, JCR 1, SCI/EI)
[4]Y Lu, *Y Cheung, Y Tang. 2019. Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI:10.1109/TNNLS.2019.2951814. (JCR 1, SCI/EI)
[5]Y Lu, *Y Cheung, Y Tang. 2019. Bayes imbalance impact index: a measure of class imbalanced dataset for classification problem. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI:10.1109/TNNLS.2019.2944962. (JCR 1, SCI/EI)
[6]Lai T, *Wang H, Yan Y, Chin T, Zheng J, Li B. 2019. Accelerated guided sampling for multi-structure model fitting. IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2018.2889908. (JCR 1, IEEE: SCI/EI)
[7]Wu Q, *Wang H, Liu Y, Zhang L, Gao X, 2019. SAT: Single-shot Adversarial Tracker, IEEE Transactions on Industrial Electronics. (JCR 1, IEEE: SCI/EI)
[8]Fu X, Liang B, Huang Y, *Ding X, Paisley J. 2019. Lightweight Pyramid Networks for Image Deraining. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2019.2926481 (JCR 1, SCI/EI)
[9]Sun L, Ma W, *Ding X, Huang Y, Liang D, Paisley J. 2019. A 3D Spatially-Weighted Network for Segmentation of Brain Tissue from MRI. IEEE Transctions on Medical Imaging, doi: 10.1109/TMI.2019.2937271. (JCR 1, SCI/EI)
[10] Sun L, Fan Z, Fu X, Huang Y, *Ding X, Paisley J. 2019. A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction. IEEE Transactions on Image Processing (TIP), 28(12): 6141-6153. (JCR 2, SCI/EI)
[11] Yang W, *Yan Y, Chen S. 2019. Adaptive deep metric embeddings for person re-Identification under occlusions. Neurocomputing, 336:56-66. (JCR 2, SCI/EI)
[12] Xiao G, *Wang H, Yan Y, Zhang L. 2019. Robust geometric model fitting based on iterative Hypergraph Construction and Partition. Neurocomputing, 336:115-127. (JCR 2, IEEE: SCI/EI)
[13] *Zhuang P, Liu Q, Ding X. 2019. Pan-GGF: A Probabilistic Method for Pan-Sharpening With Gradient Domain Guided Image Filtering. Signal Processing, 156: 177-190 (JCR 2, SCI/EI)
[14] *Zhuang P, Zhu X, Ding X. 2019. MRI Reconstruction with an Edge-Preserving Filtering Prior. Signal Processing, 155: 346-357 (JCR 2, SCI/EI)
[15] Yan Y, Zhang Z, Chen S, *Wang H. 2020. Low-resolution Facial Expression Recognition: A filter learning perspective. Signal Processing, 169 (107370):1-13. (JCR 2, SCI/EI)
[16] *Zhuang P, Ding X. 2019. Dvide-and-Conquer Framework for Image Restoration and Enhancement. Engineering Applications of Artificial Intelligence, 85: 830–844 (JCR 2, SCI/EI)
[17] Lin J, Zhan Y , *Zhao W. 2019. Instance search based on weakly supervised feature learning. Neurocomputing. (JCR 2, SCI/EI)
[18] Zhang Y , *Qu Y, Li C, Lei Y, Fan J. 2019. Ontology-Driven Hierarchical Sparse Coding for Large-Scale Image classification, Neurocomputing, 360(30):209-219. (JCR 2, SCI/EI)
[19] Qi Q, Li Yan, Wang J, Zheng H, Ding X, *Huang Y, Rohde G. 2019. Label-efficient Breast Cancer Histopathological Image Classification. IEEE Journal of Biomedical and Health Informatics, 23(5):2108 - 2116. (JCR 2, SCI/EI)
[20] Ding X, Chen Y, Tang Z, *Huang Y. 2019, Camera Identification based on Domain Knowledge-driven Deep Multi-task Learning, in IEEE Access, IEEE Access, 7:25878-25890. (JCR 2, SCI/EI)
[21] Guo G, *Wang H, Yan Y, Zhang L, Li B. 2020. Large margin deep embedding for aesthetic image classification. SCIENCE CHINA Information Sciences, 63(1): 119102. (JCR2, SCI/EI)
[22] Guo G, *Wang H, Yan Y, Zheng J, Li B. 2020. A fast face detection method via convolutional neural network, Neurocomputing. (JCR2, SCI/EI)
[23] Xiao G, Zhou X, Yan Y, *Wang H. 2020. A Two-step hypergraph reduction based fitting method for unbalanced data. Pattern Recognition Letters. (JCR3, SCI/EI)
[24] Zhang L, Yan Y, Cheng L, *Wang H. 2019. Learning Object Scale with Click Supervision for Object Detection. IEEE Signal Processing Letters (SPL), 26(11):1618-1622. (JCR 3, IEEE: SCI/EI)
[25] Sun L, Fan Z, *Ding X, Cai C, Huang Y, Paisley J. 2019. A Divide-and-conquer Approach to Compressed Sensing MRI. Magnetic Resonance Imaging (MRI), 63: 37 - 48 (JCR 3, SCI/EI)
[26] Sun L, Fan Z, *Ding X, Huang Y, Paisley J. 2019. Region-of-interest Undersampled MRI Reconstruction: A Deep Convolutional Neural Network Approach. Magnetic Resonance Imaging (MRI), 63: 185-192 (JCR 3, SCI/EI)
[27] 黄培强, 李昕, *张俊松. 2019. 结合网格保刚性的多目的地地图布局优化方法.计算机辅助设计与图形学学报, 31(4): 622-628.(CCF A, 期刊)
[28] 杨祖义, *张俊松. 2019. 融合主题和视觉特征的图片拼贴画合成方法. 计算机辅助设计与图形学学报, 31(8):1403-1409.(CCF A, 期刊)
[29] 杨婉香, *严严, 陈思, 张小康, 王菡子. 2020. 基于多尺度生成对抗网络的遮挡行人重识别方法. 软件学报(已录用) (CCF A, 期刊)
[30] 郭翰林, 肖国宝, 严严, 林舒源,*王菡子. 2020. 基于偏好统计数据表征的鲁棒几何模型拟合方法。计算机学报(已录用) (CCF A, 期刊)
2019年发表的会议论文
[1]Chen H, Suter D, Wu Q, *Wang H. End-to-end learning of object motion estimation from retinal events for event-based object tracking. The AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A, 会议)
[2]Tong Wu, Zhenzhen Lei, Bingqian Lin, Cuihua Li, Yanyun Qu*, Yuan Xie*, Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images. The AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020. (CCF A, 会议)
[3]Lin S, Xiao G, Yan Y, *Wang H, Suter D. Hypergraph optimization for multi-structural geometric model fitting. The AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, 2019. (CCF A, 会议)
[4]Chen H, Wu Q, Liang Y, Gao X, *Wang H. Asynchronous tracking-by-detection on adaptive time surfaces for event-based object tracking. The ACM Multimedia Conference (ACM MM), Nice, France, 2019. (CCF A, 会议)
[5]Qu Y, Chen Y, Huang J, Xie Y. Enhanced Pix2pix Dehazing Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, 会议)
[6]Chen R, Xie Y, Luo X, *Qu Y, Li C*. Joint-attention Discriminator for Accurate Super-resolution via Adversarial Training, The ACM Multimedia Conference (ACM MM), Nice, France, 2019. (CCF A , 会议)
[7]Chen C, Xie W, Huang W, Rong Y, Ding D, *Huang Y, Xu T, Huang J. Progressive Feature Alignment for Unsupervised Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, 会议)
[8]Fu X, Lin Z, Huang Y, *Ding X. A Variational Pan-Sharpening With Local Gradient Constraints. Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, 会议)
[9]Zhang C, Liang B, Huang Z, En M, Han J, Ding E, *Ding X. Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, 会议)
[10] Fu X, *Zha Z, Wu F, Ding X, Paisley J. JPEG Artifacts Reduction via Deep Convolutional Sparse Coding. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 2019. (CCF A, 会议)
[11] Wang W, Zeng W, Huang Y, *Ding X, Paisley J. Deep Blind Hyperspectral Image Fusion. IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 2019. (CCF A, 会议)
[12] Li F, Huang H, Wu Y, Cai C, Huang Y, *Ding X. Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019. (CCF B, 会议)
[13] Zeng W, Li F, Huang H, Huang Y, *Ding X. Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019. (CCF B, 会议)
[14] Xiong L, Liang Y, Yan Y, *Wang H. Correlation filter tracking with adaptive proposal selection for accurate scale estimation. Proceedings of IEEE International Conference on Multimedia & Expo (ICME), Shanghai, China, 2019. (CCF B, 会议)
[15] Meng X, *Yan Y, Chen S, Wang H. A cascaded noise-robust deep CNN for face recognition. Proceedings of International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019. (CCF C, 会议)
[16] Lin L, Chen H, Liang Y, Yan Y, *Wang H. Robust visual tracking via statistical positive sample generation and gradient aware learning (ACM MM Asia), Beijing, China, 2019. (CCF C, 会议)
[17] Pan J, Chen Y, Huang Y, Ding X, Cheng E*. T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, 2019. (CCF C, 会议)
[18] Guo H , He F , Cheng X , *Ding X , Huang Y . Pay Attention to Deep Feature Fusion in crowd density estimation. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, 2019. (CCF C, 会议)
[19] Chen X, Zhuang M, Cai C, Huang Y, *Ding X. Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, 2019. (CCF C, 会议)
[20] Zhuang M., Luo Y, Ding X., Huang Y, *Liao Y. A Robustness and Low Bit-rate Image Compression Network For Underwater Acoustic Communication. International Conference on Neural Information Processing (ICONIP2019), Sydney, Australia,2019. (CCF C, 会议)
[21] Luo Y, Zhuang M, Cai C, Huang Y, *Ding X. G-HAPNet: A Novel Structure for Single Image Super-Resolution. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, 2019. (CCF C, 会议)
[22] Sun L, Fan Z, *Ding X, Huang Y, Paisley J. Joint CS-MRI Reconstruction and Segmentation with an Unified Deep Network. Information Processing in Medical Imaging (IPMI), Hongkong, China, 2019. (会议)
[23] Ma W, Yu S, Ma K, Wang J, Ding X, *Zheng Y. Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China, 2019. (会议)
[24] Zhao P, Chen H, Liang Y, Yan Y, *Wang H. Learning target-specific response attention for siamese network based visual tracking. Advanced Concepts for Intelligent Vision Systems (ACIVS), Auckland, New Zealand, 2020.
专利
[1]王菡子;王兴;严严; 基于多模型估计的面向移动摄像机的运动目标检测方法。 授权号:ZL201610278401.2。发明专利,2019年
[2]王菡子;郭冠军;赵万磊;严严;沈春华; 一种基于图像区域内聚测度的目标发现方法。授权号:ZL201610212736.4。发明专利,2019年
[3]王菡子;廖健;严严; 一种静止摄像机下的基于ViBe的运动目标检测方法。授权号:L201710018297.8。发明专利,2019年
[4]王菡子;李琦铭;严严; 基于局部特征共生性和偏最小二乘法的行人检测方法。授权号:L201610279313.4。发明专利,2019年
[5]严严;陈日伟;王菡子;基于混合训练的深度学习人脸验证方法。授权号:L201610592954.5。发明专利,2019年
[6]丁兴号;傅雪阳;陈丽琴;基于卷积神经网络的单幅图像去雨方法。 授权号:ZL 2016 1 0592134.6。 发明专利,2019年
2019年在研的科研项目
[1]视觉增强与感知的关键技术研究,国家自然科学基金-海峡联合基金项目, 2017/01-2020/12。
[2]复杂场景下的长程目标跟踪方法研究,国家自然科学基金面上项目,201901-202212。
[3]基于内容的大规模近似图像检索及挖掘技术研究, 国家自然科学基金面上项目, 201501-201912。
[4]Bonree AIOps算法开发, 横向课题, 201811-201911。
[5]基于部分K空间数据子空间分解的贝叶斯非参数压缩感知MRI重建方法, 国家自然科学基金面上项目,201601-201912。
[6]基于卷积神经网络和稀疏表示的高通量筛选显微图像特征提取研究,国家自然科学基金面上项目,2017.1-2020.12。
[7]厦门大学信息科学与技术学院 — 厦门蓝斯通信人工智能驾驶联合实验室,厦门蓝斯通信科技有限公司,2019.04 – 2020.4。
[8]基于生成对抗网络的**研究,中国电子科技集团公司第十四研究所,2019.4-2019.12.
[9]司机行为智能视频分析算法开发,厦门蓝斯通信科技有限公司,2017.3-2020.3。
[10]基于深度学习的高通量药物筛选研究,中国计算机学会,2018.9 - 2019.10。
[11]多媒体信息处理,厦门蓝斯通信科技有限公司,2019.05 – 2019.07。
[12]融合语义和人类审美认知机理的艺术图案分析与合成, 国家自然科学基金面上项目,2018.1 - 2021.12。
比赛获奖
[1]洪铭,陈怡姿,黄静颖,陈淑鑫.“Runner-up Award”, NTIRE--图像去雾, CVPR2019 Workshop, 指导教师: 曲延云、李翠华
[2]郑育强,解宇虹,陈亮,李宗豪,洪辰,曲延云,陈怡姿. “Runner-up Award”, UGG Challenge, Track 2.1 (Semi-)Supervised object detection in the haze, CVPR2019, Workshop.
[3]陈亮、裴玉龙、解宇虹.“贝式计算杯”信息融合挑战赛二等奖,中国航空学会,2019.9.7, 指导教师: 曲延云,李翠华
[4]李宗豪,雷珍珍,吴桐. “贝式计算杯”信息融合挑战赛优胜奖,中国航空学会,2019.9.7, 指导教师: 曲延云,李翠华
[5]刘洪、迟宇希、代明亮、曹露露、博雅力. “中国大学生计算机设计大赛”,二等奖,指导教师: 曲延云,郑旭玲
[6]洪铭,林雯颖,杨汶锦,曲延云. “Runner-up Award”, AIM2019 Challenge on Image Demorieing, ICCV2019