XIANG BAI 's Publications

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Conference Paper

• B. Shi, X. Bai, S. Belongie. Detecting oriented text in natural images by linking segments. In: Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), Honolulu, Hawaii, 2017. (Spotlight)

• S. Bai, X. Bai, Q. Tian. Scalable person re-identification on supervised smoothed manifold. In: Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), Honolulu, Hawaii, 2017. (Spotlight)

• Y. Liu, M.M. Cheng, X. Hu, K. Wang, X. Bai. Richer convolutional features for edge detection. In: Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), Honolulu, Hawaii, 2017.

• P. Tang, X. Wang, X. Bai, W. Liu. Multiple instance detection network with online instance classifier refinement. In: Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'17), Honolulu, Hawaii, 2017.

• M. Liao, B. Shi, X. Bai, X. Wang, W. Liu. TextBoxes: A fast text detector with a single deep neural network. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, 2017. (Oral Presentation) [code]

• S. Bai, X. Bai, Q. Tian, L.J. Latecki. Regularized diffusion process for visual retrieval. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, 2017. (Oral Presentation)

• S. Bai, X. Bai, L.J. Latecki, Q. Tian. Multidimensional scaling on multiple input distance matrices. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, California, 2017.

• Y. Fang, Z. Ma, Z. Zhang, X-Y. Zhang, X. Bai. Dynamic multi-task learning with convolutional neural network. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Merbourne, Australia, 2017.

• B. Shi, X. Wang, P. Lv, C. Yao, X. Bai. Robust scene text recognition with automatic rectification. In: Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, 2016.

• Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, X. Bai. Multi-oriented text detection with fully convolutional networks. In: Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, 2016. [code]

• 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. In: Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, 2016.[supplementary material] [code].

• S. Bai, X. Bai, Z. Zhou, Z. Zhang, L.J. Latecki. GIFT: A real-time and scalable 3D shape search engine. In: Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, 2016.[code]

• S. Bai, S. Zhang, X. Bai, Z. Zhang, Q. Tian. Smooth neighborhood structure mining on multiple affinity graphs with applications to context-sensitive similarity. In: Proceedings of European Conference on Computer Vision (ECCV'16), Amsterdam, 2016.

• J. Mei, L. Dai, B. Shi, X. Bai. Scene text script identification with convolutional recurrent neural networks. In: Proceedings of 23rd International Conference on Pattern Recognition (ICPR'16), Cancun, Mexico, 2016.

• P. Lyu, B. Shi, C. Zhang, X. Bai. Distinguishing text/non-text natural images with multi-dimensional recurrent neural networks. In: Proceedings of 23rd International Conference on Pattern Recognition (ICPR'16), Cancun, Mexico, 2016.

• X. Zhang, Z. Zhang, C. Zhang, X. Bai. Symmetry-based object proposal for text detection. In: Proceedings of 23rd International Conference on Pattern Recognition (ICPR'16), Cancun, Mexico, 2016.

• X. Wang, Z. Zhu, C. Yao, X. Bai. Relaxed multiple-instance SVM with application to object discovery. In: Proceedings of International Conference on Computer Vision (ICCV'15) , Santiago, Chile, 2015. [code]

• W. Shen, X. Wang, Y. Wang, X. Bai, Z. Zhang. DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015..[code] (Pre-computed result on BSDS500) (PR-curve data)

• Z. Zhang, W. Shen, C. Yao, X. Bai. Symmetry-based text line detection in natural scenes. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015.[code][Executable software]

• B. Shi, C. Yao, C. Zhang, X. Guo, F. Huang, X. Bai. Automatic script identification in the wild. In: Proceedings of International Conference on Document Analysis and Recognition (ICDAR'15), 2015. (Oral presentation) [Project page & dataset]

• C. Zhang, C. Yao, B. Shi, X. Bai. Automatic discrimination of text and non-text natural images. In: Proceedings of International Conference on Document Analysis and Recognition (ICDAR'15), 2015. (Oral presentation) [Project page & dataset]

• C. Yao, X. Bai, W. Liu, L.J. Latecki. Human detection using learned part alphabet and pose dictionary. In: Proceedings of European Conference on Computer Vision (ECCV'14), Zurich, Switzerland, Sep. 2014.

• C. Yao, X. Bai, B. Shi, W. Liu. Strokelets: A learned multi-scale representation for scene text recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14), Columbus, Ohio, USA, June 2014. [code][readme]

• S. Bai, X. Wang, C. Yao, X. Bai. Multiple stage residual model for accurate image classication. Asian Conference on Computer Vision (ACCV), 2014.

• W. Qiu, X. Wang, X. Bai, A. Yuille, Z. Tu. Scale-space SIFT flow. IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs CO, March, 2014.

• 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), Wuhan, 2014.

• S. Bai, X. Wang, X. Bai. Aggregating contour fragments for shape classification, International Conference on Image Processing (ICIP), 2014.

• X. Min, Y. Zhou, S. Liu, X. Bai. Real-time object tracking via optimal feature subsapce, International Conference on Image Processing (ICIP), 2014.

• 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.

• X. Wang, B. Wang, X. Bai, W. Liu, Z. Tu. Max-margin multiple-instance dictionary learning. In: Proceedings of International Conference on Machine Learning (ICML'13), 2013. [code]

• Y. Zhu, X. Wang, C. Yao, X. Bai. Traffic sign classification using two-layer image representation. International Conference on Image Processing (ICIP), 2013.

• C. Yao, X. Bai, W. Liu, Y. Ma, Z. Tu. Detecting texts of arbitrary orientations in natural images. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence, Rhode Island, 2012. (MSRA-TD 500 Dataset)

• X. Wang, X. Bai, T. Ma, W. Liu, L.J. Latecki. Fan shape model for object detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence, Rhode Island, 2012. [code]

• W. Shen, K. Deng, X. Bai, T. Leyvand, B. Guo, Z. Tu. Exemplar-based human action pose correction and tagging.In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12), Providence, Rhode Island, 2012.

• Y. Zhou, X. Bai, Wenyu Liu, and Longin Jan Latecki. Fusion with diffusion for robust visual tracking. In: Proceedings of Neural Information Processing Systems (NIPS'12), 2012.

• X. Wang, Z. Zhang, Y. Ma, X. Bai, W. Liu, Z. Tu. One-class multiple instance learning via robust PCA for common object discovery. In: Proceedings of The 11th Asian Conference on Computer Vision (ACCV), Nov., 2012.

• X. Wang, X. Bai, W. Liu, L.J. Latecki. Feature context for image classification and object detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'11), Colorado Springs, Colorado, 2011.[code]

• 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. In: Proceedings of Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS'11), Granada, Spain, Dec. 2011.

• Q. Zhou, C. Yan, Y. Zhu, X. Bai, W. Liu. Image labeling by multiple segmentation. International Conference on Image Processing (ICIP), Brussels, Belgium, Sep. 2011.

• X. Bai, B. Wang, X. Wang, W. Liu, Z. Tu. Co-transduction for shape retrieval. In: Proceedings of European Conference on Computer Vision (ECCV'10), Crete, Greece, Sep. 2010.

• B. Wang, X. Bai, X. Wang, W. Liu, Z. Tu. Object recognition using junctions.In: Proceedings of European Conference on Computer Vision (ECCV'10), Crete, Greece, Sep. 2010.

• B. Wang, W. Shen, W. Liu, X. You, X. Bai. Shape classification using tree-unions. In: Proceedings of IAPR International Conference on Pattern Recognition (ICPR'10), Istanbul, Turkey, Aug. 2010.

• X. Bai, Q. Li, L.J. Latecki, W. Liu, Z. Tu. Shape band: A deformable object detection approach. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), Miami, Florida, June 2009.

• X. Bai, X. Wang, L.J. Latecki, W. Liu, Z. Tu. Active skeleton for non-rigid object detection. In: Proceedings of International Conference on Computer Vision (ICCV'09), Kyoto, Japan, Sep.-Oct. 2009.[code]

• X. Bai, W. Liu, Z. Tu. Integrating contour and skeleton for shape classification. In: Proceedings of 2nd Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA'09), in conjunction with ICCV2009, Kyoto, Japan, Sep.-Oct. 2009. (Animal Dataset)

• Y. Xu, B. Wang, W. Liu, X. Bai. Skeleton graph matching based on critical points using path similarity. Asian Conference on Computer Vision (ACCV), Xi'an, China, Sep. 2009.

• 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. In: Proceedings of IEEE Conference on Computer Communications (INFOCOM'09), Rio de Janeiro, Brazil, April 2009.

• X. Yang, X. Bai, L.J. Latecki, Z. Tu. Improving Shape Retrieval by Learning Graph Transduction. In: Proceedings of European Conference on Computer Vision (ECCV'08), Marseille, France, Oct. 2008.

• Q. Li, X. Bai, W. Liu. Skeletonization of gray-scale images from incomplete boundaries. IEEE International Conference on Image Processing (ICIP), San Diego, California, Oct. 2008.

• L.J. Latecki, C. Lu, M. Sobel, X. Bai. Multiscale random fields with application to contour grouping. In: Proceedings of Annual Conference on Neural Information Processing Syestems (NIPS'08), Vancouver, British Columbia, Canada, 2008.

• L.J. Latecki, Q. Li, X. Bai, W. Liu. Skeletonization using SSM of the distance transform. IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, Sep. 2007.

• X. Bai and L.J. Latecki. Discrete skeleton evolution. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Ezhou, Hubei, China, August 2007.

• 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), Ezhou, Hubei, China, August 2007.

• H. Liu, L.J. Latecki, W. Liu, X. Bai. Visual curvature. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, Minnesota, June 2007.

• X. Bai, L.J. Latecki, W. Liu. Skeleton pruning by Contour Partitioning. The 13th International Conference on Discrete Geometry for Computer Imagery (DGCI), Szeged, Hungary, 2006.

Journal Article

• G. Xia, J. Hu, F.Hu, B. Shi, X. Bai, X. Lu, Y. Zhong, L. Zhang.. AID: A benchmark dataset for performance evaluation of aerial scene classification. IEEE Transactions on Geoscience Remote Sensing (TGRS) , accepted . [Project Page]

• S. Bai, X. Bai, Z. Zhou, Z. Zhang, Q. Tian, L.J.Latecki. GIFT: Towards scalable 3D shape retrieval. IEEE Transactions on Multimedia (TMM), accepted. .

• 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 (PAMI), accepted. [CODE][Music Score Recognition Datasets]

• 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), accepted.

• B. Shi, X. Bai, W. Liu, J. Wang. Face alignment with deep regression. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), accepted.

• Y. Zhu, C. Zhang, D. Zhou, X. Wang, X. Bai, W. Liu. Traffic sign detection and recognition using fully convolutional network guided proposals. Neurocomputing, accepted.

• C. Yao, X. Bai, N. Sang, X. Zhou, S. Zhou, Z. Cao. Scene text detection via holistic, multi-channel prediction. arXiv:1606.09002, 2016.

• Y. Zhou, X. Bai, W. Liu, L.J. Latecki. Similarity fusion for visual tracking. International Journal of Computer Vision (IJCV), 118 (3), 337-363, 2016 .

• X. Wang, X. Duan, X. Bai. Deep sketch feature for cross-domain image retrieval. Neurocomputing, 207: 387-397, 2016. [CODE and DataSet]

• S. Bai, X. Bai, W. Liu. Multiple stage residual model for image classification and vector compression. IEEE Transactions on Multimedia (TMM), 18(7): 1351-1362, 2016.

• X. Bai, C. Yao, W. Liu. Strokelets: A learned multi-scale mid-level representation for scene text recognition. IEEE Transactions on Image Prococessing (TIP), 25(6): 2789-2802, 2016. [code][readme]

• Y. Zhu, C. Yao, X. Bai. Scene text detection and recognition: recent advances and future trends. Frontier of Computer Science (FCS), 10(1): 19�C36, 2016. (Invited Survey paper)

• S. Bai, Z. Liu, X. Bai. Co-spectral for robust shape clutersing. Pattern Recogniton Letters (PRL), 83: 388-394, 2016..

• S. Bai, X. Bai. Sparse contextual activation for efficient visual re-ranking. IEEE Transactions on Image Processing (TIP), 25(3): 1056-1069, 2016.[code]

• B. Shi, X. Bai, C. Yao. Script identification in the wild via discriminative convolutional neural network. Pattern Recognition (PR), 52: 448-458, 2016. [project page & datasets]

• 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), 52: 306-316, 2016. [WH-SYMMAX dataset]

• Z. Zhu, X. Wang, S. Bai, C. Yao, X. Bai. Deep learning representation using autoencoder for 3D shape retrieval. Neurocomputing, 204: 41-50, 2016.

• 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), 37(12): 2361-2373, 2015.

• X. Bai, S. Bai, X. Wang. Beyond diffusion process: Neighbor set similarity for fast re-ranking. Information Science (IS), 325(20) December, Pages 342�C354, 2015.

• B. Shi, S. Bai, Z. Zhou, X. Bai. DeepPano: Deep panoramic representation for 3D shape recognition. IEEE Signal Processing Letters (SPL), 22(12): 2339-2343, 2015.

• S. Bai, X. Bai, W. Liu, F. Roli. Neural shape codes for 3D model retrieval. Pattern Recognition Letters (PRL), 65(11): 15-21, 2015.

• C. Hu, X. Bai, L. Qi, P. Chen, G. Xue, L. Mei. Vehicle color recognition with spatial pyramid deep learning. IEEE Transactions on Intelligent Transportation Systems (TITS),16(5): 2925-2934, 2015.

• C. Hu, X. Bai, L. Qi, X. Wang, G. Xue, L. Mei. Learning discriminative pattern for real-time car brand recognition. IEEE Transactions on Intelligent Transportation Systems (TITS), 16(6): 3170-3181, 2015.

• C. Yao, X. Bai, W. Liu. A unified framework for multi-oriented text detection and recognition. IEEE Transactions on Image Processing (TIP), 23(11): 4737-4749, 2014. [HUST-TR 400 Dataset]

• X. Bai, C. Rao, X. Wang. Shape vocabulary: A robust and efficient shape representation for shape matching. IEEE Transactions on Image Processing (TIP), 23(9):3935-3949, 2014. [code]

• W. Shen, K. Deng, X. Bai, T. Leyvand, B. Guo, Z. Tu. Exemplar-based human action pose correction. IEEE Transactions on Cybernetics (TC), 44(7): 1053-1066, 2014.

• P. Chen, X. Bai, W. Liu. Vehicle color recognition on urban road by feature context. IEEE Transactions on Intelligent Transportation Systems (TITS), 15(5): 2340-2346. [dataset]

• X. Wang, Z. Zhang, Y. Ma, X. Bai, W. Liu, Z. Tu. Robust subspace discovery via relaxed rank minimization, Neural Computation (NC), 26(3): 611-635, 2014. [code]

• X. Wang, B. Feng, X. Bai, W. Liu, L.J. Latecki. Bag of contour fragments for robust shape classification. Pattern Recognition (PR), 47(6): 2116-2125, 2014. [code]

• 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.

• W. Shen, Y. Wang, X. Bai, H. Wang, L.J. Latecki. Shape clustering: Common structure discovery. Pattern Recognition (PR), 46:539�C550, 2013. [code]

• J. Ma, J. Zhao, J. Tian, X. Bai, Z. Tu. Regularized vector field learning with sparse approximation for mismatch removal. Pattern Recognition (PR), 46(12): 3519-3532, 2013.

• .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, e70173.

• 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) 46(1): 12-28, 2013.

• W. Shen, B. Wang, Y. Wang, X. Bai, L.J. Latecki. Face identification using reference-based features with message passing model. Neurocomputing 99: 339-346, 2013.

• W. Shen, X. Bai, X. Yang, L. Latecki. Skeleton pruning as trade-off between skeleton simplicity and reconstruction error. SCIENCE CHINA Inf. Science, 56: 1�C18, 2013. [code]

• 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.

• X. Bai, B. Wang, C. Yao, W. Liu, Z. Tu. Co-transduction for shape retrieval.IEEE Transactions on Image Processing (TIP), 2012. [code]

• J. Wang, X. Bai, X. You, W. Liu, L.J. Latecki. Shape matching and classification using height functions. Pattern Recognition Letters (PRL), 33(2): 134-143, 2012. [code]

• Y. Zhou, J. Liu, X. Bai,. Research and perspective on shape matching. ��״ƥ���о���չ��. Acta Automatica Sinica, 2012. [pdf]

• W. Shen, X. Bai, R. Hu, H. Wang, L.J. Latecki. Skeleton growing and pruning with bending potential ratio. Pattern Recogntion (PR), 44(2): 196-209, 2011. [code]

• J. Wang, Y. Li X. Bai, Y. Zhang, C. Wang, N. Tang. Learning context-sensitive similarity by shortest path propagation. Pattern Recognition (PR), 2011, 44(10-11): 2367-2374.

• 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), 32(5): 861-874, 2010. .(code is in "Co-Transduction")

• 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), 32(10): 1744-1757, 2010.

• 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.

• Y. Tang, X. Bai et al. Skeletonization with particle filters. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 24(4): 619-634, 2010.

• X. Bai, L.J. Latecki. Path similarity skeleton graph matching. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 30(7): 1282-1292, 2008. (send email for 'OSB' function)

• X. Bai, X. Yang, L.J. Latecki. Detection and recognition of contour parts based on shape similarity. Pattern Recognition (PR), 41(7): 2189-2199, 2008.

• 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), 22(4): 733-746, 2008.

• 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, 29(3): 449-462.(code can be found by google)

Invited Book Chapters:

1. Binarization of Gray-Level Images Based on Skeleton Region Growing. Xiang Bai, Quannan Li, Tianyang Ma, Wenyu Liu, Longin Jan Latecki. Book Chapter: Digital Geometry Algorithms (Edited by Valentin E. Brimkov and Reneta P. Barneva), Lecture Notes in Computational Vision and Biomechanics, vol. 2, pp. 145-164, Springer, 2012.

2. 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), pp. 190-213, IGI Clobal, 2013.

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), pp. 51-70, Springer, 2016.

Representative Works:

• 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 (PAMI), accepted. [CODE][Music Score Recognition Datasets]

• Z. Zhang, C. Zhang, W. Shen, C. Yao, W. Liu, X. Bai. Multi-oriented text detection with fully convolutional networks. IEEE Conf. on Com. Vis. Patt. Recog. (CVPR), 2016. [PDF] [code]

• B. Shi, X. Wang, P. Lv, C. Yao, X. Bai. Robust scene text recognition with automatic rectification. IEEE Conf. on Computer Vis. & Pattern Recog. (CVPR), 2016.[PDF]

• S. Bai, X. Bai, Z. Zhou, Z. Zhang, L.J. Latecki. GIFT: A real-time and scalable 3D shape search engine. IEEE Conf. on Compututer Vision and Pattern Recog. (CVPR), 2016.[PDF][CODE]

• Y. Zhou, X. Bai, W. Liu, L.J. Latecki. Similarity Fusion for Visual Tracking. International Journal of Computer Vision (IJCV), 118 (3), 337-363, 2016. [PDF]

• S. Bai, X. Bai. Sparse Contextual Activation for Efficient Visual Re-ranking. IEEE Transactions on Image Processing (TIP), 25(3): 1056-1069, 2016.[PDF][CODE]

• 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) , 37(12): 2361-2373, 2015. [PDF]

• 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. [PDF][CODE][Executable Software]

• 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. [PDF][CODE][Pre-computed Result on BSDS500][PR-curve Data]

• X. Bai, C. Yao, W. Liu. Strokelets: A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition. IEEE Trans. on Image Processing (TIP), 25 (6): 2789-2802, 2016. [PDF][CODE][Readme]
• 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][CODE][Readme]

• X. Bai, C. Rao, X. Wang. Shape Vocabulary: A Robust and Efficient Shape Representation for Shape Matching. IEEE Transactions on Image Processing (TIP), 23(9): 3935-3949, 2014. [PDF][CODE]

• C. Yao, X. Bai, W. Liu. A Unified Framework for Multi-Oriented Text Detection and Recognition. IEEE Transactions on Image Processing (TIP), 23(11): 4737 - 4749, 2014. [PDF] [HUST-TR400 Dataset]
• 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. [PDF] MSRA-TD 500 Dataset [Video]

• X. Bai, B. Wang, C. Yao, W. Liu, Z. Tu. Co-Transduction for Shape Retrieval. IEEE Transactions on Image Processing (TIP), 2012. [PDF] [Code]
• X. Bai, B. Wang, X. Wang, W. Liu, Z. Tu. Co-Transduction for Shape Retrieval. European Conf. on Computer Vision (ECCV), 2010.

• J. Wang, X. Bai, X. You, W. Liu, L. Latecki. Shape Matching and Classification Using Height Functions. Pattern Recognition Letters (PRL), 2012, 33(2): 134-143. [PDF] [Code]

• 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][Code]

• W. Shen, X. Bai, R. Hu, H. Wang, and L. Latecki. Skeleton Growing and pruning with Bending Potential Ratio.Pattern Recogntion (PR), 2011, 44(2): 196-209. [PDF][Code]

• X. Bai, X. Yang, L.J. Latecki, W. Liu, and Z. Tu. Learning Context-Sensitive Shape Similarity by Graph Transduction. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2010, 32(5): 861-874. [PDF](code is in the one of "Co-Transduction")

• X. Bai, X. Wang, L. Latecki, W. Liu, and Z. Tu. Active Skeleton for Non-rigid Object Detection.International Conferece on Computer Vision (ICCV), Kyoto, Japan, September-October 2009. [PDF][Code]

• X. Bai and L. Latecki. Path Similarity Skeleton Graph Matching.IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2008, 30(7): 1282-1292.[PDF](send email for 'OSB' function)

• X. Bai, L. Latecki, and W. Liu. Skeleton pruning by Contour Partitioning with Discrete Curve Evolution. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2007, 29(3): 449-462. [PDF](code can be found simply by google)

PhD Thesis

Contributions to Several Issues in Skeleton-based Shape Matching. (In Chinese) Xiang Bai, 2009, Huazhong University of Science and Technology. National Excellent Doctoral Dissertation Award nomination, 2012