个人简历

2004.9-2009.7，博士，中科院自动化研究所

研究领域

计算机视觉

近期论文

Y. Wu, J. Cheng, J. Wang, H. Lu, H. Ling, and E. Blasch, “Real-time Probabilistic Covariance Tracking with Efficient Model Update,” IEEE Transactions on Image Processing, vol. 21, no. 5, pp. 2824–2837, 2012.
X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai, “Efficient Minimum Error Bounded Particle Resampling L1 Tracker with Occlusion Detection,” IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2661-2675, 2013.
Y. Wu, B. Shen and H. Ling, “Visual Tracking via Online Non-negative Matrix Factorization,” IEEE Transactions on Circuits and Systems for Video Technology, 2013, in press.
会议
Y. Wu, Y. Ijiri, and M. H. Yang, “Multiple Non-Rigid Surface Detection and Registration,” IEEE International Conference on Computer Vision (ICCV), 2013, in press. [Supplement]
Y. Wu, J. Lim, and M. H. Yang, “Online Object Tracking: A Benchmark,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [Project] [Code with results] [Results only] [data]
Y. Wu, B. Shen, and H. Ling, “Online Robust Image Alignment via Iterative Convex Optimization,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Y. Wu, H. Ling, J. Yu, F. Li, X. Mei, and E. Cheng, “Blurred Target Tracking by Blur-driven Tracker,” IEEE International Conference on Computer Vision (ICCV), 2011. [code] [data]
Y. Wu, J. Cheng, J. Wang, and H. Lu, “Real-time Visual Tracking via Incremental Covariance Tensor Learning,” IEEE International Conference on Computer Vision (ICCV), 2009.
C. Bao, Y. Wu, H. Ling, and H. Ji, “Real Time Robust L1 Tracker Using Accelerated Proximal Gradient Approach,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [code]
X. Mei, H. Ling, Y. Wu, E. Blasch, and L. Bai, “Minimum Error Bounded Efficient L1 Tracker with Occlusion Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [data]
Y. Wu, F. Xie, J. Yang, E. Cheng, V. Megalooikonomou, and H. Ling, “Automatic detection of apical roots in oral radiographs,” SPIE Medical Imaging, 2012.
Y. Wu, F. Xie, J. Yang, E. Cheng, V. Megalooikonomou, and H. Ling, “Computer aided periapical lesion diagnosis using quantized texture analysis,” SPIE Medical Imaging, 2012.
Y. Wu, G. Chen, E. Blasch, L. Bai, and H. Ling, “Feature-based background registration in wide-area motion imagery,” SPIE Conf. on Defense Security+Sensing, 2012.
E. Blasch, H. Ling, Y. Wu G. Seetharaman, M. Talbert, L. Bai, and G. Chen, “Dismount tracking and identification from electro-optical imagery,” SPIE Conf. on Defense Security+Sensing, 2012.
Y. Wu, J. Hu, F. Li, E. Cheng, J. Yu, and H. Ling, “Kernel-based Motion-blurred Target Tracking,” in Int’l Symposium on Visual Computing (ISVC), 2011.
Y. Wu, H. Ling, E. Blasch, L. Bai, and G. Chen, “Visual Tracking based on Log-Euclidean Riemannian Sparse Representation,” in Int’l Symposium on Visual Computing (ISVC), 2011.
Y. Wu, E. Blasch, G. Chen, L. Bai, and H. Ling, “Multiple Source Data Fusion via Sparse Representation for Robust Visual Tracking,” in International Conference on Information Fusion (FUSION), 2011.
H. Ling, Y. Wu E. Blasch, G. Chen, H. Lang, and L. Bai, “Evaluation of Visual Tracking in Extremely Low Frame Rate Wide Area Motion Imagery,” in International Conference on Information Fusion (FUSION), 2011.
E. Cheng, J. Chen, J. Yang, H. Deng, Y. Wu, V. Megalooikonomou, B. Gable, and H. Ling, “Automatic Dent-landmark Detection in 3-D CBCT Dental Volumes,” IEEE Engineering in Medicine and Biology Society (EMBS), 2011.
H. Li, Y. Wu and H. Lu, “Visual Tracking Using Particle Filters with Gaussian Process Regression,” Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2009.
Y. Wu, J. Wang, and H. Lu, “Robust Bayesian tracking on Riemannian manifolds via fragments-based representation,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2009.
Y. Wu, J. Wang, and H. Lu, “Real-time Visual Tracking via Incremental Model Update on Log-Euclidean Riemannian Manifold,” IEEE Chinese Conference on Pattern Recognition (CCPR), 2009.
Y. Wu, B. Wu, J. Liu, and H. Lu, “Probabilistic Tracking on Riemannian Manifolds,” IEEE International Conference on Pattern Recognition (ICPR), 2008.