Wen Wu

I am a researcher at Siemens Corporate Technology focusing on medical image analysis and vision technologies. I earned a Ph.D. in Language and Information Technologies from the School of Computer Science at the Carnegie Mellon University (2009) where I worked with Jie Yang. Prior to joining Siemens in 2010, I briefly worked with Howard Wactlar and Alex Hauptmann as a postdoc in the Computer Science Department at CMU. I have also received a M.Sc. in Computer Science from the National University of Singapore (2003) and a B.Eng. in Computer Science & Technology from the Tsinghua University (2001).

My research at CMU focused on development of multimedia technologies for landmark-based vehicle navigation such as landmark labeling, detection, recognition and human vehicle interface. I also worked on some problems in machine learning.

Publications

  • W. Wu, T. Chen, N. Strobel and D. Comaniciu. Robust Tracking of a Virtual Electrode on a Coronary Sinus Catheter for Atrial Fibrillation Ablation Procedures. In Proc. of SPIE Medical Imaging, 2012.
  • A. P. Kiraly, J. Barbot, W. Wu, T. Chen, A. Brost, M. Koch, C. Jakob, T. K. and N. Strobel. Real-time Motion-Adjusted Augmented Fluoroscopy System for Navigation during Electrophysiology Procedures. In Proc. of SPIE Medical Imaging, 2012.
  • W. Wu, T. Chen, N. Strobel and D. Comaniciu. Fast Tracking of Catheters in 2D Fluoroscopic Images Using an Integrated CPU-GPU Framework. In Proc. of International Symposium on Biomedical Imaging, 2012.
  • Y. Wang, B. Georgescu, T. Chen, W. Wu, P. Wang, X. Lu, R. Ionasec, Y. Zheng, D. Comaniciu. Learning-based Detection and Tracking in Medical Imaging: A Robust Information-Fusion Approach. An invited book chapter in Deformation Models, Springer, 2012.
  • S. Kaeppler, A. Brost, M. Koch, W. Wu, F. Bourier, T. Chen, K. Kurzidim, J. Hornegger and N. Strobel. Motion Estimation Model for Cardiac and Respiratory Motion Compensation. In Proc. of International Conference on Information Processing in Computer-Assisted Interventions, 2012.
  • P. Mountney, R. Ionasec, S. KhakAbi, W. Wu, T. Chen, M. John, J. Boese, D. Comaniciu. Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection. In Proc. of MICCAI, 2012.
  • W. Wu, T. Chen, A. Barbu, P. Wang, N. Strobel, S. Zhou, and D. Comaniciu. Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2011.
  • A. Brost, W. Wu, M. Koch, A. Wimmer, T. Chen, R. Liao, J. Hornegger and N. Strobel. Combined Cardiac and Respiratory Motion Compensation for Atrial Fibrillation Ablation Procedures. In Proc. of MICCAI, 2011.
  • W. Wu, J. Yang and X. Chen. Intelligent Vision Systems for Landmark-based Vehicle Navigation. Book chapter in Computer Vision for Multimedia Applications: Methods and Solutions, 2010.
  • Z. Gao, M. Detyniecki, M. Chen, W. Wu, A. G. Hauptman and H. D. Wactlar. Towards Automated Assistance for Operating Home Medical Devices. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2010.
  • Z. Gao, M. Chen, M. Detyniecki, W. Wu, A. Hauptmann, H. Wactlar, and A. Cai. Multi-Camera Monitoring of Infusion Pump Use. In IEEE International Conference on Semantic Computing, 2010
  • W. Wu and J. Yang. Semi-Automatically Labeling Objects in Images. In IEEE Transactions on Image Processing, Volume 18, Issue 6, Pages 1340-1349, June 2009.
  • W. Wu, F. Blaicher, J. Yang, T. Seder and D. Cui. A Prototype of Landmark-Based Car Navigation Using a Full-Windshield Head-Up Display System. In ACM Intl. Conference on Multimedia - Workshop on Ambient Media Computing, 2009.
  • M. Chen, K. D. Dhingra, W. Wu, L. Yang, R. Sukthankar and J. Yang. PFID: Pittsburgh Fast-Food Image Dataset. In IEEE Intl. Conf. on Image Processing, 2009.
  • W. Wu and J. Yang. Fast Food Recognition from Videos of Eating for Calorie Estimation. In IEEE International Conference on Multimedia & Expo, 2009.
  • W. Wu and J. Yang. Object Fingerprints for Content Analysis with Applications to Street Landmark Localization. In ACM International Conference on Multimedia, 2008.
  • W. Wu and J. Yang. Semi-Supervised Learning of Object Categories from Paired Local Features. In ACM Intl. Conf. on Image and Video Retrieval, 2008.
  • V. R. Carvalho, W. Wu and W. W. Cohen. Discovering Leadership Roles in Email Workgroups. In Fourth Conference on Email and Anti-Spam, 2007.
  • S. Gao, W. Wu, C.-H. Lee and T.-S. Chua. A Maximal Figure-of-Merit Learning Approach to Robust Classifier Design for Text Categorization. In ACM Transactions on Information Systems, Volume 24, Issue 2, Pages 190-218, April 2006.
  • W. Wu and J. Yang. SmartLabel: An Object Labeling Tool Using Iterated Harmonic Energy Minimization. In ACM International Conference on Multimedia, 2006.
  • W. Wu, J. Yang and J. Zhang. A Multimedia System for Route Sharing and Video-based Navigation. In IEEE Intl Conference on Multimedia & Expo, 2006.
  • W. Wu, D. Chen and J. Yang. Integrating Co-training and Recognition for Text Detection, In IEEE International Conference on Multimedia & Expo, 2005.
  • W. Wu, X. Chen and J. Yang. Detection of Text on Road Signs from Video. In IEEE Transactions on Intelligent Transportation Systems, Volume 6, Issue 4, Pages 378-390, December 2005.
  • W. Wu, X. Chen and J. Yang. Incremental Detection of Text on Road Signs from Video with Application to a Driving Assistant System. In ACM International Conference on Multimedia, 2004.
  • S. Gao, W. Wu, C.-H. Lee and T.-S. Chua. An MFoM Learning Approach to Robust Multiclass Multi-Label Text Categorization. In 21st International Conference on Machine Learning, 2004.
  • S. Gao, W. Wu, C.-H. Lee and T.-S. Chua. A Maximal-Figure-of-Merit Learning Approach to Text Categorization. In 26th Annual International ACM SIGIR Conference, 2003.