[简体中文]

2018

  1. F.-D. Wang, N. Xue, Y.-P. Zhang, X. Bai, G.-S. Xia. Adaptively transforming graph matching. European Conference on Computer Vision (ECCV) , 2018.
  2. P. Lyu, M. Liao, C. Yao, W. Wu, X. Bai. Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes. European Conference on Computer Vision (ECCV) , 2018. [pdf]
  3. R. Yu, Z. Dou, S. Bai, Z. Zhang, Y. Xu, X. Bai. Hard-aware point-to-set deep metric for person re-identification. European Conference on Computer Vision (ECCV) , 2018.
  4. Y. Zhou, Z. Zhu, X. Bai, D. Lischinski, D. Cohen-Or, H. Huang. Non-stationary texture synthesis by adversarial expansion. ACM SIGGRAPH , 2018. [pdf]
  5. Z. Wang, M. Ye, F. Yang, X Bai, S. Satoh. Cascaded SR-GAN for scale-adaptive low resolution person re-identification. International Joint Conference on Artificial Intelligence (IJCAI) , 2018. [pdf]
  6. Z. Zhu, M. Liao, B. Shi, X. Bai. Feature fusion for scene text detection. IAPR International Workshop on Document Analysis System (DAS) , 2018. [pdf]
  7. X. Wang, Y. Yan, P. Tang, X. Bai, W. Liu. Revisiting multiple instance neural networks. Pattern Recognition (PR) , 2018. [pdf]
  8. B. Shi, X. Bai, W. Liu, J. Wang. Face alignment with deep regression. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) , 2018. [pdf]
  9. N. Xue, G. Xia, X. Bai, L. Zhang, W. Shen. Anisotropic-scale junction detection and matching for indoor images. IEEE Transactions on Image Processing (TIP) , 2018. [pdf]
  10. S. Bai, S. Sun, X. Bai, Z. Zhang, Q. Tian. Improving context-sensitive similarity via smooth neighborhood for object retrieval Pattern Recognition (PR) , 2018.[pdf]
  11. B. Shi, M. Yang, X. Wang, P. Lyu, C. Yao, X. Bai. ASTER: An Attentional Scene Text Recognizer with Flexible Rectification. IEEE Trans. on PAMI, accepted , 2018. [code] [pdf]
  12. P. Lyu, C. Yao, W. Wu, S. Yan, X. Bai. Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018. [pdf]
  13. M. Liao, Z. Zhu, B. Shi, G. Xia, X. Bai. Rotation-Sensitive Regression for Oriented Scene Text Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018. [pdf]
  14. X. He, Y. Zhou, Z. Zhou, S. Bai, X. Bai. Triplet-Center Loss for Multi-View 3D Object Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018. [pdf]
  15. M. Liao, B. Shi, X.Bai. TextBoxes++: A Single-Shot Oriented Scene Text Detector. IEEE Transations on Image Processing (TIP) , 2018. [code][pdf]
  16. G. Xia, X. Bai, J. Ding, Z. Zhu, S. Belongie, J. Luo, M. Datcu, M. Pelillo, L. Zhang. DOTA: A Large-scale Dataset for Object Detection in Aerial Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2018. [pdf]
  17. X. Bai, M. Yang, T. Huan, Z. Dou, R. Yu, Y. Xu. Deep-Person: Learning Discriminative Deep Features for Person Re-Identification. arXiv , 2018. [code] [pdf]
  18. B. Wu, Y. Zhou, Y. Qian, M. Gong, H. Huang."Full 3D Reconstruction of Transparent Objects ". ACM Trans. on Graphics. ,2018. [pdf]
  19. S. Bai, X. Bai, Q. Tian, L. Latecki. Regularized Diffusion Process on Bidirectional Context for Object Retrieval. IEEE Trans. on PAMI, accepted , 2018. [pdf]
  20. Y. Xu, B. Morel, S. Dahdouh, et al. "The Challenge of Cerebral Magnetic Resonance Imaging in Neonates: A new method using mathematical morphology for the segmentation of structures including diffuse excessive high signal intensities". Medical Image Analysis (MIA) ,2018 [pdf]

2017

  1. S. Bai, Z. Zhou, J. Wang, X. Bai, L.J. Latecki, Q. Tian. Ensemble diffusion for retrieval. IEEE International Conference on Computer Vision (ICCV), 2017. (oral) [code][pdf]
  2. X. Bai, Z. Zhang, H. Wang, W. Shen. Directional edge boxes: Exploiting inner normal direction cues for effective object proposal generation. Journal of Computer Scence and Technology (JCST) , 2017. [pdf]
  3. Skeletonization in natural images and its application to object recognition. Wei Shen, Kai Zhao, Jiang Yuan, Yan Wang, Zhijiang Zhang, Xiang Bai. Book Chapter: Skeletonization - Theory, Methods and Applications (Edited by Punam K. Saha, Gunilla Borgefors, and Gabriella Sanniti di Baja) , 2017.
  4. Y. Liu, M.-M. Cheng, X. Hu, K. Wang, X. Bai. Richer convolutional features for edge detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017. [pdf]
  5. P. Tang, X. Wang, X. Bai, W. Liu. Multiple instance detection network with online instance classifier refinement. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017. [pdf]
  6. X He, B Shi, X. Bai, GS Xia, Z Zhang, W Dong. Image caption generation with part of speech guidance. Pattern Recognition Letters (PRL) , 2017. [pdf]
  7. P. Lyu, X. Bai, C. Yao, Z. Zhu, T. Huang, W. Liu. Auto-encoder guided GAN for Chinese calligraphy synthesis. IAPR International Conference on Document Analysis and Recognition (ICDAR) , 2017. [pdf]
  8. R. Yu, Z. Zhou, S. Bai, X. Bai. Divide and fuse: A re-ranking approach for person re-identification. British Machine Vision Conference (BMVC) , 2017. [pdf]
  9. Y. Fang, Z. Ma, Z. Zhang, X-Y. Zhang, X. Bai. Dynamic multi-task learning with convolutional neural network. International Joint Conference on Artificial Intelligence (IJCAI) , 2017. [pdf]
  10. W. Shen, K. Zhao, Y. Jiang, Y. Wang, X. Bai, A. Yuille. DeepSkeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images. IEEE Transactions on Image Processing (TIP) , 2017. [pdf]
  11. G. Xia, G. Liu, X. Bai, L. Zhang. Texture characterization by using shape co-occurrence patterns. IEEE Transactions on Image Processing (TIP) , 2017. [pdf]
  12. T. Huang, W. Dong, X. Xie, G. Shi, X. Bai. Mixed noise removal via laplacian scale mixture modeling and nonlocal low-rank approximation. IEEE Transactions on Image Processing (TIP) , 2017. [pdf]
  13. P. Tang, X. Wang, Z. Huang, X. Bai, W. Liu. Deep patch learning for weakly supervised object classification and discovery Pattern Recognition (PR) , 2017.[pdf]
  14. X. Bai, M. Yang, P. Lyu, Y. Xu. Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification with Convolutional Neural Networks. 2017. arXiv: 1704.04613 [pdf]
  15. Y. Xu, E. Carlinet, T. Géraud, et al. Hierarchical segmentation using tree-based shape spaces. IEEE transactions on pattern analysis and machine intelligence (TPAMI) , 2017.[pdf]
  16. X. Liu, P. Lyu, X. Bai, M.-M. Cheng. Fusing image and segmentation cues for skeleton extraction in the wild. IEEE International Conference on Computer Vision WorkShop Challenge on Detecting Symmetry in the Wild , 2017. [pdf]
  17. J Wu, X Bai, M Loog, F Roli, ZH Zhou. Editorial of the special Issue on multi-instance learning in pattern recognition and vision Pattern Recognition (PR) , 2017. 22 January 2017[pdf]
  18. X. Bai, B. Shi, C. Zhang, X. Cai, L. Qi. Text/non-text image classification in the wild with convolutional neural networks Pattern Recognition (PR) , 2017.[pdf]
  19. B. Shi, X. Bai, S. Belongie. Detecting Oriented Text in Natural Images by Linking Segments. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [code][pdf]
  20. S. Bai, X. Bai, Q. Tian. Scalable Person Re-Identification on Supervised Smoothed Manifold. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [pdf]
  21. B. Shi, X. Bai, C. Yao. An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted. 2017. [code][music score recognition datasets][pdf]
  22. M. Liao, B. Shi, X. Bai, X. Wang, W. Liu. TextBoxes: A Fast Text Detector with a Single Deep Neural Network. The 31st AAAI Conference on Artificial Intelligence (AAAI), 2017. [code][pdf]
  23. S. Bai, X. Bai, Q. Tian, L.J. Latecki. Regularized diffusion process for visual retrieval. The 31st AAAI Conference on Artificial Intelligence (AAAI), 2017. [pdf]
  24. S. Bai, X. Bai, L.J. Latecki, Q. Tian. Multidimensional scaling on multiple input distance matrices. The 31st AAAI Conference on Artificial Intelligence (AAAI), 2017. [pdf]
  25. S. Bai, X. Bai, Z. Zhou, Z. Zhang, Q. Tian, L.J. Latecki. GIFT: Towards scalable 3D shape retrieval. IEEE Trans. on Multimedia, accepted. 2017. [pdf]
  26. G. Xia, J. Hu, F. Hu, B. Shi, X. Bai, Y. Zhong, L. Zhang, X. Lu. AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification. IEEE Trans. on Geoscience Remote Sensing, accepted. 2017. [pdf]

2016

  1. S. Bai, S. Zhang, X. Bai, Z. Zhang, Q. Tian. Smooth neighborhood structure mining on multiple affinity graphs with applications to context-sensitive similarity. European Conference on Computer Vision (ECCV), 2016. [pdf]
  2. Y. Zhu, C. Yao, X. Bai. Scene text detection and recognition: recent advances and future trends. Frontier of Computer Science (FCS) , 2016. (Invited Survey paper) [pdf]
  3. Scale-Space SIFT Flow. Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, Zhuowen Tu. Book Chapter: Dense Image Correspondences for Computer Vision (Edited by Tal Hassner and Ce Liu) , 2016.
  4. W. Shen, K. Zhao, Y. Jiang, Y. Wang, Z. Zhang, X. Bai. Object skeleton extraction in natural images by fusing scale-associated deep side outputs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016. [code] [pdf]
  5. S. Bai, X. Bai, Z. Zhou, Z. Zhang, L.J. Latecki. GIFT: A real-time and scalable 3D shape search engine. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016. [code] [pdf]
  6. C. Yao, X. Bai, N. Sang, X. Zhou, S. Zhou, Z. Cao. Scene text detection via holistic, multi-channel prediction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016. [pdf]
  7. J. Mei, L. Dai, B. Shi, X. Bai. Scene text script identification with convolutional recurrent neural networks. International Conference on Pattern Recognition (ICPR) , 2016. [pdf]
  8. P. Lyu, B. Shi, C. Zhang, X. Bai. Distinguishing text/non-text natural images with multi-dimensional recurrent neural networks. International Conference on Pattern Recognition (ICPR) , 2016. [pdf]
  9. X. Zhang, Z. Zhang, C. Zhang, X. Bai. Symmetry-based object proposal for text detection. International Conference on Pattern Recognition (ICPR) , 2016. [pdf]
  10. Y. Zhu, C. Zhang, D. Zhou, X. Wang, X. Bai, W. Liu. Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing , 2016. [pdf]
  11. X. Wang, X. Duan, X. Bai. Deep sketch feature for cross-domain image retrieval. Neurocomputing , 2016. [CODE and DataSet] [pdf]
  12. S. Bai, X. Bai, W. Liu. Multiple stage residual model for image classification and vector compression. IEEE Transactions on Multimedia (TMM) , 2016. [pdf]
  13. S. Bai, Z. Liu, X. Bai. Co-spectral for robust shape clutersing. Pattern Recogniton Letters (PRL) , 2016. [pdf]
  14. Z. Zhu, X. Wang, S. Bai, C. Yao, X. Bai. Deep learning representation using autoencoder for 3D shape retrieval. Neurocomputing , 2016. [pdf]
  15. Y. Zhou, X. Bai, W. Liu, L.J. Latecki. Similarity Fusion for Visual Tracking. Int. Journal of Computer Vision (IJCV), 118 (3), 337-363, 2016. [pdf]
  16. L. Huỳnh, Y. Xu, T. Géraud. Morphology-based hierarchical representation with application to text segmentation in natural images.Pattern Recognition (ICPR), 2016 23rd International Conference on. IEEE, 2016.[pdf]
  17. Y. Xu, T. Géraud, L. Najman. Connected filtering on tree-based shape-spaces[J]. IEEE transactions on pattern analysis and machine intelligence (TPAMI), 2016. [pdf]
  18. X. Bai, C. Yao, W. Liu. Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition. IEEE Transations on Image Processing (TIP), 25(6),2789-2802, 2016. [code][pdf]
  19. S. Bai, X. Bai. Sparse Contextual Activation for Efficient Visual Re-ranking. IEEE Trans. on Image Processing (TIP), 25(3): 1056-1069, 2016. [code][pdf]
  20. Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, X. Bai. Multi-oriented text detection with fully convolutional networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [code][pdf]
  21. B Shi, X Bai, C Yao. Script identification in the wild via discriminative convolutional neural network Pattern Recognition (PR) , 2016. 22 January 2016[pdf]
  22. B. Shi, X. Wang, P. Lyu, C. Yao, X. Bai. Robust scene text recognition with automatic rectification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf]
  23. W Shen, X Bai, Z Hu, Z Zhang. Multiple instance subspace learning via partial random projection tree for local reflection symmetry in natural images Pattern Recognition (PR) , 2016. 22 January 2016[pdf]

2015

  1. C. Hu, X. Bai, L. Qi, X. Wang, G. Xue, L. Mei. Learning discriminative pattern for real-time car brand recognition.Transactions on Intelligent Transportation Systems (TITS), 2015. [pdf]
  2. X. Bai, S. Bai, Z. Zhu, L.J. Latecki. 3D Shape Matching via Two Layer Coding.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 2015. [pdf]
  3. C. Zhang, C. Yao, B. Shi, X. Bai. Automatic discrimination of text and non-text natural images.IAPR International Conference on Document Analysis and Recognition (ICDAR), 2015. (oral) [code] [dataset][pdf]
  4. B. Shi, C. Yao, C. Zhang, X. Guo, F. Huang, X. Bai. Automatic script identification in the wild.IAPR International Conference on Document Analysis and Recognition (ICDAR), 2015. (oral) [dataset] [pdf]
  5. Z. Zhang, W. Shen, C. Yao, X. Bai. Symmetry-based text line detection in natural scenes. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [code][pdf]
  6. X. Wang, Z. Zhu, C. Yao, X. Bai. Relaxed multiple-instance SVM with application to object discovery. IEEE International Conference on Computer Vision (ICCV), 2015. [code][pdf]
  7. C. Hu, X. Bai, L. Qi, P. Chen, G. Xue, L. Mei. Vehicle color recognition with spatial pyramid deep learning.Transactions on Intelligent Transportation Systems (TITS), 2015. [pdf]
  8. B. Shi, S. Bai, Z. Zhou, X. Bai. DeepPano: Deep panoramic representation for 3D shape recognition.Signal Processing Letters (SPL), 2015. [pdf]
  9. X. Bai, S. Bai, X. Wang. Beyond diffusion process: Neighbor set similarity for fast re-ranking.Information Science (IS), 2015.[pdf]
  10. W. Shen, X. Wang, Y. Wang, X. Bai, Z. Zhang. DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015. [code][pdf]
  11. S. Bai, X. Bai, W. Liu, F. Roli. Neural shape codes for 3D model retrieval.Pattern Recognition Letters (PRL) , 2015.[pdf]

2014

  1. W. Qiu, X. Wang, X. Bai, A. Yuille, Z. Tu. Scale-space SIFT flow.IEEE Winter Conference on Applications of Computer Vision (WACV), 2014. [pdf]
  2. W. Shen, X. Wang, C. Yao, X. Bai. Shape recognition by combining contour and skeleton into a mid-level representation.China Conference on Pattern Recognition (CCPR), 2014. [pdf]
  3. Y. Zhou, Y. Wang, M. Yi, X. Bai, W. Liu, L.J. Latecki. Online multiple targets detection and tracking from mobile robot in cluttered indoor environments with depth camera.International Jounal of Pattern Recognition and Aritificial Intelligence (IJPRAI), 2014. [pdf]
  4. S. Bai, X. Wang, C. Yao, X. Bai. Multiple stage residual model for accurate image classication.Asian Conference on Computer Vision (ACCV), 2014. [pdf]
  5. S. Bai, X. Wang, X. Bai. Aggregating contour fragments for shape classification.International Conference on Image Processing (ICIP), 2014. [pdf]
  6. X. Wang, Z. Zhang, Y. Ma, X. Bai, W. Liu, Z. Tu. Robust subspace discovery via relaxed rank minimization.Neural Computation (NC), 2014. [code][pdf]
  7. C. Yao, X. Bai, W. Liu. A Unified Framework for Multi-Oriented Text Detection and Recognition. IEEE Transactions on Image Processing (TIP),2014. [HUST-TR400 Dataset][pdf]
  8. P. Chen, X. Bai, W. Liu. Vehicle color recognition on urban road by feature context.IEEE Transactions on Intelligent Transportation Systems (TITS), 2014. [dataset][pdf]
  9. X. Bai, C. Rao, X. Wang. Shape Vocabulary: A Robust and Efficient Shape Representation for Shape Matching. IEEE Transactions on Image Processing (TIP), 2014. [pdf]
  10. W. Shen, K. Deng, X. Bai, T. Leyvand, B. Guo, Z. Tu. Exemplar-based human action pose correction.IEEE Transactions on Cybernetics (TC), 2014. [pdf]
  11. C. Yao, X. Bai, B. Shi, W. Liu. Strokelets: A learned multi-scale representation for scene text recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [pdf]
  12. Y. Xu, P. Monasse, T. Géraud, et al. Tree-based morse regions: A topological approach to local feature detection[J]. IEEE Transactions on Image Processing (ITIP), 2014.[pdf]
  13. X. Min, Y. Zhou, S. Liu, X. Bai. Real-time object tracking via optimal feature subsapce.International Conference on Image Processing (ICIP), 2014. [pdf]
  14. X Wang, B Feng, X Bai, W Liu, LJ Latecki. Bag of contour fragments for robust shape classification Pattern Recognition (PR) , 2014. 22 January 2014.[pdf]
  15. Z. Zhu, X. Wang, S. Bai, C. Yao, X. Bai. Deep learning representation using autoencoder for 3D shape retrieval.International Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2014. [pdf]
  16. C. Yao, X. Bai, W. Liu, L.J. Latecki. Human detection using learned part alphabet and pose dictionary. European Conference on Computer Vision (ECCV), 2014. [pdf]

2013

  1. X. Yang, X. Bai, S. Koknar-Tezel, L.J. Latecki. Densifying distance spaces for shape and image retrieval. Journal of Mathematical Imaging and Vision (JMIV) 2013 [pdf]
  2. C. Yao, X. Zhang, X. Bai, W. Liu, Y. Ma, Z. Tu. Rotation-invariant features for multi-oriented text detection in natural images. PLoS ONE 8(8),2013 [pdf]
  3. W. Shen, X. Bai, X. Yang, L. Latecki. Skeleton pruning as trade-off between skeleton simplicity and reconstruction error. SCIENCE CHINA Inf. Science 2013 [pdf]
  4. W. Liu, H. Jiang, X. Bai, G. Tan, C. Wang, W. Liu, K. Cai. Distance transform-based skeleton extraction and its applications in sensor networks.IEEE Transactions on Parallel and Distributed Systems (TPDS), 2013 [pdf]
  5. W. Shen, B. Wang, Y. Wang, X. Bai, L.J. Latecki. Face identification using reference-based features with message passing model.Neurocomputing 2013 [pdf]
  6. Y. Zhu, X. Wang, C. Yao, X. Bai. Traffic sign classification using two-layer image representation.International Conference on Image Processing (ICIP),2013. [pdf]
  7. X. Wang, B. Wang, X. Bai, W. Liu, Z. Tu. Max-margin multiple-instance dictionary learning. International Conference on Machine Learning (ICML), 2013. [pdf]
  8. Shape Retrieval and Classification Based on Geodesic Paths in Skeleton Graphs. Xiang Bai, Chunyuan Li, Xingwei Yang, Longin Jan Latecki. Book Chapter: Graph-Based Methods in Computer Vision: Development and Applications (Edited by X. Bai, J. Cheng, and E. Hacock) 2013
  9. J Ma, J Zhao, J Tian, X Bai, Z Tu. Regularized vector field learning with sparse approximation for mismatch removal Pattern Recognition (PR) , 2013. [pdf]
  10. W Shen, Y Wang, X Bai, H Wang, L Jan Latecki. Shape clustering: common structure discovery Pattern Recognition (PR) , 2013. [code][pdf]

2012

  1. X. Wang, Z. Zhang, Y. Ma, X. Bai, W. Liu, Z. Tu. One-class multiple instance learning via robust PCA for common object discovery.Proceedings of The 11th Asian Conference on Computer Vision (ACCV) , 2012.[pdf]
  2. Y. Zhou, X. Bai, W. Liu, L.J. Latecki. Fusion with diffusion for robust visual tracking. Neural Information Processing Systems (NIPS), 2012. [pdf]
  3. J. Wang, X. Bai, X. You, W. Liu, L.J. Latecki. Shape matching and classification using height functions. Pattern Recognition Letters (PRL) , 2012.[pdf]
  4. C. Yao, X. Bai, W. Liu, Y Ma, Z. Tu. Detecting texts of arbitrary orientations in natural images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [MSRA-TD 500 Dataset][pdf]
  5. X. Wang, X. Bai, T. Ma, W. Liu, L.J. Latecki. Fan shape model for object detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2012. [code][pdf]
  6. W. Shen, K. Deng, X. Bai, T. Leyvand, B. Guo, Z. Tu. Exemplar-based human action pose correction and tagging. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [pdf]
  7. X. Bai, B. Wang, C. Yao, W. Liu, Z. Tu. Co-transduction for shape retrieval. IEEE Transactions on Image Processing (TIP) , 2012.[pdf]
  8. Y. Zhou, J. Liu, X. Bai,. Research and perspective on shape matching. Acta Automatica Sinica , 2012.[pdf]
  9. Binarization of Gray-Level Images Based on Skeleton Region Growing. Xiang Bai, Quannan Li, Tianyang Ma, Wenyu Liu, Longin Jan Latecki.Springer) , 2012.[pdf]

2011

  1. Q. Zhou, C. Yan, Y. Zhu, X. Bai, W. Liu. Image labeling by multiple segmentation.International Conference on Image Processing (ICIP) , 2011.[pdf]
  2. X. Wang, X. Bai, W. Liu, L.J. Latecki. Feature context for image classification and object detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2011. [pdf]
  3. X. Wang, X. Bai, X. Yang, W. Liu, and L.J. Latecki. Maximal cliques that satisfy hard constraints with application to deformable object model learning. Neural Information Processing Systems (NIPS) , 2011. [pdf]
  4. Learning context-sensitive similarity by shortest path propagation.Pattern Recognition (PR), 2011. [code][pdf]
  5. J. Wang, Y. Li X. Bai, Y. Zhang, C. Wang, N. Tang. Learning context-sensitive similarity by shortest path propagation. Pattern Recognition (PR) , 2011. [pdf]

2010

  1. X. Bai, B. Wang, X. Wang, W. Liu, Z. Tu. Co-transduction for shape retrieval. Proceedings of European Conference on Computer Vision (ECCV) , 2010.[pdf]
  2. B. Wang, W. Shen, W. Liu, X. You, X. Bai. Shape classification using tree-unions. International Conference on Pattern Recognition (ICPR) , 2010. [pdf]
  3. B. Wang, X. Bai, X. Wang, W. Liu, Z. Tu. Object recognition using junctions. European Conference on Computer Vision (ECCV) , 2010. [pdf]
  4. X. Bai, X. Yang, L.Latecki, W. Liu, Z. Tu. Learning context-sensitive shape similarity by graph transduction. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 2010.[pdf]
  5. Z. Tu, X. Bai. Auto-context and its application to high-level vision tasks and 3D brain image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 2010.[pdf]
  6. H. Jiang, W. Liu, D. Wang, C. Tian, X. Bai , X. Liu, Y. Wu, W. Liu. Connectivity-based skeleton extraction in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), 21(5): 710-72 , 2010.[pdf]
  7. Y. Tang, X. Bai et al. Skeletonization with particle filters. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) , 2010.[pdf]

2009

  1. X. Bai, X. Wang, L.J. Latecki, W. Liu, Z. Tu. Active skeleton for non-rigid object detection. International Conference on Computer Vision (ICCV) , 2009. [pdf]
  2. Y. Xu, B. Wang, W. Liu, X. Bai. Skeleton graph matching based on critical points using path similarity.Asian Conference on Computer Vision (ACCV),2009[pdf]
  3. X. Bai, W. Liu, Z. Tu. Integrating contour and skeleton for shape classification. Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA) , 2009. [DataSet] [pdf]
  4. X. Bai, Q. Li, L.J. Latecki, W. Liu, Z. Tu. Shape band: A deformable object detection approach. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2009. [pdf]
  5. H. Jiang, W. Liu, D. Wang, C. Tian, X. Bai, X. Liu, Y. Wu, W. Liu. CASE: Connectivity-based skeleton extraction in wireless sensor networks. IEEE Conference on Computer Communications (INFOCOM) , 2009. [pdf]

2008

  1. Q. Li, X. Bai, W. Liu. Skeletonization of gray-scale images from incomplete boundaries.IEEE International Conference on Image Processing (ICIP), 2008[pdf]
  2. L.J. Latecki, C. Lu, M. Sobel, X. Bai. Multiscale random fields with application to contour grouping. Neural Information Processing Syestems (NIPS) , 2008. [pdf]
  3. X. Bai, L.J. Latecki. Path similarity skeleton graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 2008. [pdf]
  4. X. Yang, X. Bai, L.J. Latecki, Z. Tu. Improving Shape Retrieval by Learning Graph Transduction. European Conference on Computer Vision (ECCV) , 2008. [pdf]
  5. X. Bai, X. Yang, D.-G. Yu, L. J. Latecki. Skeleton-based shape classification using path similarity. International J. of Pattern Recognition and Artificial Intelligence (IJPRAI),2008[pdf]
  6. X. Bai, X. Yang, L.J. Latecki. Detection and recognition of contour parts based on shape similarity. Pattern Recognition (PR) , 2008. [pdf]

2007

  1. L.J. Latecki, Q. Li, X. Bai, W. Liu. Skeletonization using SSM of the distance transform.IEEE International Conference on Image Processing (ICIP), 2007[pdf]
  2. X. Bai and L.J. Latecki. Discrete skeleton evolution. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR),2007[pdf]
  3. X. Yang, X. Bai, D. Yu, L.J. Latecki. Shape classification based on skeleton path similarity. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR),2007[pdf]
  4. H. Liu, L.J. Latecki, W. Liu, X. Bai. Visual curvature. Computer Vision and Pattern Recognition (CVPR) , 2007. [pdf]
  5. X. Bai, L.J. Latecki, W. Liu. Skeleton pruning by contour partitioning with discrete curve evolution. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 2007. [pdf]