Browsing "School of Computer Science" by Author Wang, H.

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 20 of 81  next >
PreviewIssue DateTitleAuthor(s)
20042D articulated tracking with dynamic Bayesian networksShen, C.; Van Den Hengel, A.; Dick, A.; Brooks, M.; Wei, D.; Wang, H.; Peng, Z.; Kara, A.; He, Y.; International Conference on Computer and Information Technology (4th : 2004 : Wuhan, China)
2007A consensus-based method for tracking: Modelling background scenario and foreground appearanceWang, H.; Suter, D.
2010A generalized kernel consensus-based robust estimatorWang, H.; Mirota, D.; Hager, G.
2003A model-based range image segmentation algorithm using a novel robust estimatorWang, H.; Suter, D.; International Workshop on Statistical and Computational Theories of Vision (3rd : 2003 : Nice, France)
2008A Model-selection Framework for Multibody Structure-and-Motion of Image SequencesSchindler, K.; Suter, D.; Wang, H.
2006A novel robust statistical method for background initialization and visual surveillanceWang, H.; Suter, D.; Narayanan, P.J.; Nayar, S.K.; Shum, H.Y.; Asian Conference on Computer Vision (7th : 2006 : Hyderabad, India)
2005A re-evaluation of mixture-of-Gaussian background modelingWang, H.; Suter, D.; IEEE International Conference on Acoustics, Speech and Signal Processing (30th : 2005 : Philadelphia, Pa.)
2010A swarm intelligence based searching strategy for articulated 3D human body trackingZhang, X.; Hu, W.; Wang, X.; Kong, Y.; Xie, N.; Wang, H.; Ling, H.; Maybank, S.; IEEE Conference on Computer Vision and Pattern Recognition Workshops (2010 : San Francisco, CA)
2017A topic model based on poisson decompositionJiang, H.; Zhou, R.; Zhang, L.; Wang, H.; Zhang, Y.; ACM Conference on Information and Knowledge Management (CIKM 2017) (6 Nov 2017 - 10 Nov 2017 : Singapore, SINGAPORE)
2020Accelerated guided sampling for multistructure model fittingLai, T.; Wang, H.; Yan, Y.; Chin, T.J.; Zheng, J.; Li, B.
2007Adaptive object tracking based on an effective appearance filterWang, H.; Suter, D.; Schindler, K.; Shen, C.
2008Anatomical Reconstruction from Endoscopic Images: Toward Quantitative EndoscopyWang, H.; Mirota, D.; Hager, G.; Ishii, M.
2018Automatic image cropping for visual aesthetic enhancement using deep neural networks and cascaded regressionGuo, G.; Wang, H.; Shen, C.; Yan, Y.; Liao, H.
2005Background Initialization with A New Robust Statistical ApproachWang, H.; Suter, D.; Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (2nd : 2005 : Beijing, China)
2006Background Subtraction Based on a Robust Consensus MethodWang, H.; Suter, D.; Tang, Y.Y.; Wang, S.P.; Lorette, G.; Yeung, D.S.; Yan, H.; International Conference on Pattern Recognition (18th : 2006 : Hong Kong)
2011Boosting histograms of descriptor distances for scalable multiclass specific scene recognitionChin, T.; Suter, D.; Wang, H.
2015Classifying perspectives on Twitter: immediate observation, affection, and speculationZhang, Y.; Szabo, C.; Sheng, Q.; Fang, X.; Wang, J.; Cellary, W.; Wang, D.; Wang, H.; Chen, S.; Li, T.; Zhang, Y.; 16th International Conference on Web Information Systems Engineering (WISE) (1 Nov 2015 - 3 Nov 2015 : Miami, FL)
2003Color image segmentation using global information and local homogeneityWang, H.; Suter, D.; Digital Image Computing: Techniques and Applications (2003 : Sydney, Australia)
2017Deep CNNs with spatially weighted pooling for fine-grained car recognitionHu, Q.; Wang, H.; Li, T.; Shen, C.
2020Deep learning as a competitive feature-free approach for automated algorithm selection on the traveling salesperson problemSeiler, M.; Pohl, J.; Bossek, J.; Kerschke, P.; Trautmann, H.; Bäck, T.; Preuss, M.; Deutz, A.H.; Wang, H.; Doerr, C.; Emmerich, M.T.M.; Trautmann, H.; International Conference on Parallel Problem Solving from Nature (PPSN) (5 Sep 2020 - 9 Sep 2020 : Leiden, The Netherlands)