Refereed Conference Papers (*Postgraduate Students & Research Staff)

[1]L. Niu*, W. Li* and D. Xu, “Multi-view Domain Generalization for Visual Recognition,” IEEE International Conference on Computer Vision (ICCV), December 2015.

[2]L. Niu*, W. Li* and D. Xu, “Visual Recognition by Learning from Web Data: A Weakly Supervised Domain Generalization Approach,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015.

[3]S. Xiao*, W. Li*, D. Xu and D. Tao, “FaLRR: A Fast Low Rank Representation Solver,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. 

[4]H. Fu*, D. Xu, S. Lin and J. Liu, “Object-based RGBD Image Co-segmentation with Mutex Constraint,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. 

[5]W. Li*, L. Niu* and D. Xu, “Exploiting Privileged Information from Web Data for Image Categorization,” European Conference on Computer Vision (ECCV), September 2014.

[6]Z. Xu*, W. Li*, L. Niu* and D. Xu, “Exploiting Low-rank Structure from Latent Domains for Domain Generalization,” European Conference on Computer Vision (ECCV), September 2014.

[7]S. Xiao*, M. Tan and D. Xu, “Weighted Block-Sparse Low Rank Representation for Face Clustering in Videos,” European Conference on Computer Vision (ECCV), September 2014.

[8]L. Chen*, W. Li* and D. Xu, “Recognizing RGB Images by Learning from RGB-D Data,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.

[9]H. Fu*, D. Xu, B. Zhang and S. Lin, “Object-based Multiple Foreground Video Co-segmentation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2014. 

[10]H. Liu*, D. Xu, Q. Huang, W. Li*, M. Xu and S. Lin, “Semantically-based Human Scanpath Estimation with HMMs,” IEEE International Conference on Computer Vision (ICCV), December 2013 (Oral).

[11]Y. Xu, S. Lin, D. W. K. Wong, J. Liu and D. Xu, “Efficient Reconstruction-based Optic Cup Localization for Glaucoma Screening,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2013.

[12]Y. Xu, X. Gao, S. Lin, D. W. K. Wong, J. Liu, D. Xu, C. Y. Cheng, C. Y. Cheung and T. Y. Wong, “Automatic Grading of Nuclear Cataracts from Slit-lamp Lens Images Using Group Sparsity Regression,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2013.

[13]L. Chen*, L. Duan* and D. Xu, “Event Recognition in Videos by Learning from Heterogeneous Web Sources,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013.

[14]Z. Cui*, W. Li*, D. Xu, S. Shan and X. Chen, “Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013.

[15]Z. Zeng*, S. Xiao*, C. Jia, T.-H. Chan, S. Gao, D. Xu and Y. Ma, “Learning by Associating Ambiguously Labeled Images,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2013.

[16]X. Xu*, I. W. Tsang and D. Xu, “Handling Ambiguity via Input-Output Kernel Learning,” IEEE International Conference on Data Mining (ICDM), December 2012. (Full paper)

[17]W. Li*, L. Duan*, I. W. Tsang and D. Xu, “Co-Labeling: A New Multi-view Learning Approach for Ambiguous Problems,” IEEE International Conference on Data Mining (ICDM), December 2012. (Full paper)

[18]B. Liu*, G. Cong, D. Xu and Y. Zeng, “Time Constrained Influence Maximization in Social Networks,” IEEE International Conference on Data Mining (ICDM), December 2012. (Full paper)

[19]S.Y. Yan*, X. Xu*, D. Xu, S. Lin and X. Li, “Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification,” European Conference on Computer Vision (ECCV), October 2012.

[20]Z. Zeng*, C. Jia, T.-H. Chan and D. Xu, “Finding Correspondence from Multiple Images via Sparse and Low-rank Decomposition,” European Conference on Computer Vision (ECCV), October 2012.

[21]Y. Xu, J. Liu, S. Lin, D. Xu, C. Y. Cheung, T. Aung and T. Y. Wong, “Efficient Optic Cup Detection from Intra-Image Learning with Retinal Structure Priors,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2012.

[22]L. Duan*, D. Xu and S.-F. Chang, “Exploiting Web Images for Event Recognition in Consumer Videos: A Multiple Source Domain Adaptation Approach,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

[23]W. Li*, L. Duan*, I. W. Tsang and D. Xu, “Batch Mode Adaptive Multiple Instance Learning for Computer Vision Tasks,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2012.

[24]L. Duan*, D. Xu and I. W. Tsang, “Learning with Augmented Features for Heterogeneous Domain Adaptation,” International Conference on Machine Learning (ICML), June 2012.

[25]W. Li*, L. Duan*, D. Xu and I. W. Tsang, “Text-based Image Retrieval using Progressive Multi-Instance Learning,” IEEE International Conference on Computer Vision (ICCV), November 2011.

[26]Y. Xu*, D. Xu, S. Lin, J. Liu, J. Cheng, C. Y. Cheung, T. Aung and T. Y. Wong, “Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis,” International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2011. (Oral)

[27]X. Wu*, D. Xu, L. Duan* and J. Luo, “Action Recognition using Context and Appearance Distribution Features,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

[28]L. Duan*, D. Xu, I. W. Tsang and J. Luo, “Visual Event Recognition in Videos by Learning from Web Data,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2010. (Best Student Paper Award)

[29]L. Chen*, D. Xu, I. W. Tsang and J. Luo, “Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2010.

[30]Y. Liu*, D. Xu, I. W. Tsang and J. Luo, “Using Large-Scale Web Data to Facilitate Textual Query Based Retrieval of Consumer Photos,” ACM Multimedia Conference (ACM MM), October 2009. (Full paper)  

[31]Y. Yang*, D. Xu, F. Nie*, J. Luo and Y. Zhuang, “Ranking with Local Regression and Global Alignment for Cross Media Retrieval,” ACM Multimedia Conference (ACM MM), October 2009. (Full paper)

[32]Y. Yang*, Y. Zhuang, D. Xu, Y. Pan, D. Tao and S. J. Maybank, “Retrieval Based Interactive Cartoon Synthesis via Unsupervised Bi-distance Metric Learning,” ACM Multimedia Conference (ACM MM), October 2009. (Full paper)

[33]F. Nie*, D. Xu, I. W. Tsang and C. Zhang, “Spectral Embedded Clustering,” International Joint Conferences on Artificial Intelligence (IJCAI), July 2009. (Oral)

[34]L. Duan*, I. W. Tsang, D. Xu and T.-S. Chua, “Domain Adaptation from Multiple Sources via Auxiliary Classifiers,” International Conference on Machine Learning (ICML), June 2009. (Oral)

[35]L. Duan*, I. W. Tsang, D. Xu and S. J. Maybank, “Domain Transfer SVM for Video Concept Detection,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2009.

[36]D. Xu, T.J. Cham, S. Yan and S.-F. Chang, “Near Duplicate Image Identification with Spatially Aligned Pyramid Matching,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

[37]Y. Huang*, M. S. Brown and D. Xu, “A Framework for Reducing Ink-Bleed in Old Documents,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.

[38]D. Xu and S.-F. Chang, “Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

[39]S. Yan, D. Xu, S. Lin, T. S. Huang and S.-F. Chang, “Element Rearrangement for Tensor-Based Subspace Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

[40]H. Wang, S. Yan, D. Xu, X. Tang and T. S. Huang, “Trace Ratio vs. Ratio Trace for Dimensionality Reduction,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.

[41]D. Xu, S. Lin, S. Yan and X. Tang, “Rank-one Projections with Adaptive Margins for Face Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2006.

[42]D. Xu, S. Yan, L. Zhang, H. Zhang, Z. Liu and H. Shum, “Concurrent Subspace Analysis,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005.

[43]S. Yan, D. Xu, B. Zhang and H. Zhang, “Graph Embedding: A General Framework for Dimensionality Reduction,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005. (Oral)

[44]S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang and H. Zhang, “Discriminant Analysis with Tensor Representation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005.

[45]S. Yan, D. Xu, L. Zhang, B. Zhang and H. Zhang, “Coupled Kernel-based Subspace Learning,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005.

[46]S. Yang, S. Yan, D. Xu, X. Tang and C. Zhang, “Fisher+Kernel Criterion for Discriminant Analysis,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2005.