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Source codes of some publications are available on Github

# indicates equal contribution and * indicates corresponding author

Technical Reports

  1. Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, and Wenyu Liu. QueryInst: Parallelly Supervised Mask Query for Instance Segmentation. arXiv preprint arXiv:2105.01928 (2021) code.

  2. Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, and Wenyu Liu. Crossover Learning for Fast Online Video Instance Segmentation. arXiv preprint arXiv:2104.05970 (2021).

  3. Zilong Huang, Wentian Hao, Xinggang Wang, Mingyuan Tao, Jianqiang Huang, Wenyu Liu, and Xian-Sheng Hua. Half-Real Half-Fake Distillation for Class-Incremental Semantic Segmentation. arXiv preprint arXiv:2104.00875 (2021).

  4. Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu. FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking. arXiv:2004.01888 (2020) code

  5. Hao Luo, Lichao Huang, Han Shen, Yuan Li, Chang Huang, Xinggang Wang. Object Detection in Video with Spatial-temporal Context Aggregation. arXiv:1907.04988 (2019)

  6. Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Chang Huang, Wenyu Liu, Xinggang Wang. Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation. arXiv:1907.01203v2 (2019) code

  7. Xinggang Wang, Kaibing Chen, Zilong Huang, Cong Yao, Wenyu Liu. Point Linking Network for Object Detection. arXiv:1706.03646 (2017)

Major Journal & Conference Papers

    Online publication

  1. Zilong Huang, Yunchao Wei, Xinggang Wang*, Wenyu Liu, Thomas S. Huang, Honghui Shi. AlignSeg: Feature-Aligned Segmentation Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021 Mar 1; doi: 10.1109/TPAMI.2021.3062772. pdf, code, bib

  2. Xinggang Wang, Zhaojin Huang, Bencheng Liao, Lichao Huang, Yongchao Gong, Chang Huang. Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation. Computer Vision and Image Understanding (CVIU), 5 March 2021, doi:10.1016/j.cviu.2021.103188. pdf, code, bib

  3. Jiemin Fang#, Yuzhu Sun#, Qian Zhang, Kangjian Peng, Yuan Li, Wenyu Liu, Xinggang Wang*. FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020, doi: 10.1109/TPAMI.2020.3044416. pdf, code, bib

  4. Zilong Huang#, Xinggang Wang#*, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas Huang. CCNet: Criss-Cross Attention for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020, doi: 10.1109/TPAMI.2020.3007032. pdf, code, bib

  5. Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao. Deep High-Resolution Representation Learning for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), doi: 10.1109/TPAMI.2020.2983686, 2020. pdf, code, bib

  6. Jiemin Fang, Yukang Chen, Xinbang Zhang, Qian Zhang, Chang Huang, Gaofeng Meng, Wenyu Liu, Xinggang Wang*. EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search. SCIENCE CHINA Information Sciences (SCIS), accepted. pdf, code, bib

  7. Mengting Chen, Xinggang Wang, Heng Luo, Yifeng Geng and Wenyu Liu*. Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition. SCIENCE CHINA Information Sciences (SCIS), accepted. pdf, code, bib

  8. Wenqiang Zhang, Jiemin Fang, Xinggang Wang*, Wenyu Liu. EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search. Computational Visual Media (CVMJ), accepted. pdf, code, bib


  9. Year 2021

  10. Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu. Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images. CVPR 2021. pdf, code.

  11. Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang*. Human De-occlusion: Invisible Perception and Recovery for Humans. CVPR 2021. pdf, dataset.

  12. Jiapei Feng, Xinggang Wang*, Wenyu Liu. Deep Graph Cut Network for Weakly-supervised Semantic Segmentation. SCIENCE CHINA Information Sciences (SCIS), Volume 64 , Issue 3 : 130105(2021) https://doi.org/10.1007/s11432-020-3065-4, pdf, code, bib

  13. Bin Hu#, Jiwei Xu#, Xinggang Wang*. Learning Generalizable Deep Feature using Triplet-Batch-Center Loss for Person Re-identification. Sci. China Inf. Sci. (SCIS) 64, 120111 (2021). https://doi.org/10.1007/s11432-019-2943-6, pdf, code, bib

  14. Qixin Hu, Siyan Xu, Xue-wen Chen, Xinggang Wang, Ken Xingze Wang. Object recognition for remarkably small field-of-view with speckles. Applied Physics Letters, APL, Vol.118, Issue 9, 2021. DOI: 10.1063/5.0040343, pdf


  15. Year 2020

  16. Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu. Boundary-preserving Mask R-CNN. ECCV, 2020. pdf, code, bib

  17. Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang. Densely Connected Search Space for More Flexible Neural Architecture Search. CVPR, 2020. pdf, code, bib

  18. Jiemin Fang#, Yuzhu Sun#, Kangjian Peng#, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang. Fast Neural Network Adaptation via Parameter Remapping and Architecture Search. International Conference on Learning Representations (ICLR), 2020. pdf, code, bib

  19. Mengting Chen#, Yuxin Fang#, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang. Diversity Transfer Network for Few-Shot Learning. AAAI, 2020. Oral presentation. pdf, code, bib

  20. Jiwei Xu, Xinggang Wang*, Wenyu Liu. Deep multi-metric learning for text-independent speaker verification. Neurocomputing, Volume 410, 14 October 2020, Pages 394-400. pdf, code, bib

  21. Xinggang Wang#, Xianbo Deng#, Qing Fu#, Qiang Zhou#, Jiapei Feng, Hui Ma, Wenyu Liu, Chuansheng Zheng. A Weakly-supervised Framework for COVID-19 Classification and Lesion Localization from Chest CT. IEEE Transactions on Medical Imaging (IEEE TMI), vol. 39, no. 8, pp. 2615-2625, Aug. 2020, doi: 10.1109/TMI.2020.2995965. pdf, code, bib

  22. Liang Xu, Xinggang Wang, Wenyu Liu, Bin Feng, Cascaded Boundary Network for High-Quality Temporal Action Proposal Generation, in IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 30, no. 10, pp. 3702-3713, Oct. 2020, doi: 10.1109/TCSVT.2019.2944430. bib

  23. Meriem Sebai, Xinggang Wang, Tianjiang Wang. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images, Med Biol Eng Comput 58, 1603–1623 (2020). https://doi.org/10.1007/s11517-020-02175-z, code, bib

  24. Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang. Learning from Synthetic Images via Active Pseudo-Labeling. IEEE Transactions on Image Processing (IEEE TIP), vol. 29, pp. 6452-6465, 2020, doi: 10.1109/TIP.2020.2989100. code, bib

  25. Shengkai Wu, Xiaoping Li, Xinggang Wang. IoU-aware single-stage object detector for accurate localization. Image and Vision Computing (IMAVIS) (2020): 103911. pdf, bib

  26. Shuanlong Niu, Bin Li, Xinggang Wang, Hui Lin. Defect Image Sample Generation with GAN for Improving Defect Recognition. IEEE Transactions on Automation Science and Engineering (IEEE TASE), vol. 17, no. 3, pp. 1611-1622, July 2020, doi: 10.1109/TASE.2020.2967415. bib

  27. Liangchen Song, Cheng Wang, Lefei Zhang, Bo Du, Qian Zhang, Chang Huang, Xinggang Wang. Unsupervised Domain Adaptive Re-Identification: Theory and Practice. Pattern Recognition, Volume 102, June 2020, 107173. pdf, code, bib

  28. Cheng Wang, Liangchen Song, Guoli Wang, Qian Zhang, Xinggang Wang*. Multi-scale Multi-patch Person Re-Identification with Exclusivity Regularized Softmax. Neurocomputing, Volume 382, 21 March 2020, Pages 64-70, doi:10.1016/j.neucom.2019.11.062. pdf, bib

  29. Zilong Huang, Chunyu Wang, Xinggang Wang*, Wenyu Liu, Jingdong Wang. Semantic Image Segmentation by Scale-Adaptive Networks. IEEE Transactions on Image Processing (IEEE TIP), vol. 29, pp. 2066-2077, 2020, doi: 10.1109/TIP.2019.2941644. pdf, code, bib

  30. Yuan Li, Xinggang Wang, Wenyu Liu, Bin Feng*. Pose Anchor: A Single-stage Hand Keypoint Detection Network. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) vol. 30, no. 7, pp. 2104-2113, July 2020, doi: 10.1109/TCSVT.2019.2912620. pdf, bib

  31. Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu*, Wenjun Zeng, Jingdong Wang. Object Detection in Videos by High Quality Object Linking. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 42, no. 5, pp. 1272-1278, 1 May 2020, doi: 10.1109/TPAMI.2019.2910529. pdf, bib

  32. Peng Tang, Xinggang Wang*, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan Yuille. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 42, no. 1, pp. 176-191, 1 Jan. 2020, doi: 10.1109/TPAMI.2018.2876304. pdf, code, bib


  33. Year 2019

  34. Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu. CCNet: Criss-Cross Attention for Semantic Segmentation. ICCV, 2019. pdf, code, bib

  35. Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang. Mask Scoring R-CNN. CVPR, 2019. Oral (5.6% acceptance rate) pdf, code, bib

  36. Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang. RENAS: Reinforced Evolutionary Neural Architecture Search. CVPR, 2019. pdf, code, bib

  37. Xin Lei, Liangyu He, Ken Xingze Wang, Xinggang Wang, Yixuan Tan, Yihan Du, Shanhui Fan, Zongfu Yu. Direct Object Recognition Without Line-of-sight Using Optical Coherence. CVPR, 2019. pdf, bib

  38. Hao Luo, Wenxuan Xie, Xinggang Wang, Wenjun Zeng. Detect or Track: Towards Cost-Effective Video Object Detection/Tracking. AAAI, 2019. pdf, bib

  39. Xinggang Wang, Jiasi Wang, Peng Tang, Wenyu Liu*. Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection. Journal of Computer Science and Technology (JCST) 34(6): 1269–1278 Nov. 2019. pdf, bib

  40. Xinggang Wang, Yongluan Yan, Peng Tang, Wenyu Liu*, Xiaojie Guo. Bag similarity network for deep multi-instance learning. Information Sciences (InfSci), Volume 504, December 2019, Pages 578-588, Doi: 10.1016/j.ins.2019.07.071. pdf, code, bib

  41. Chao Li, Xinggang Wang, Wenyu Liu*, Longin Latecki, Bo Wang, Junzhou Huang. Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss. Medical Image Analysis. Volume 53, Pages 165-178 (2019) pdf, code, bib

  42. Peng Tang, Xinggang Wang*, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu. Deep FisherNet for Image Classification. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) vol. 30, no. 7, pp. 2244-2250, July 2019, doi: 10.1109/TNNLS.2018.2874657. pdf, bib

  43. Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, Xiang Bai*. ASTER: An attentional scene text recognizer with flexible rectification. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) vol. 41, no. 9, pp. 2035-2048, 1 Sept. 2019, doi: 10.1109/TPAMI.2018.2848939. pdf, code, bib

  44. Hui Lin, Bin Li, Xinggang Wang, Yufeng Shu, and Shuanglong Niu. Automated defect inspection of LED chip using deep convolutional neural network. Journal of Intelligent Manufacturing (J Intell Manuf) 30, no. 6 (2019): 2525-2534.


  45. Year 2018

  46. Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille. Weakly Supervised Region Proposal Network and Object Detection. ECCV, 2018. pdf, bib

  47. Cheng Wang, Qian Zhang, Chang Huang, Wenyu Liu, Xinggang Wang*. Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification. ECCV, 2018. pdf, code, bib

  48. Zilong Huang, Xinggang Wang*, Jiasi Wang, Wenyu Liu, Jingdong Wang. Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing. CVPR, 2018. pdf, code, bib

  49. Xinggang Wang*, Yongluan Yan, Peng Tang, Xiang Bai*, Wenyu Liu. Revisiting Multiple Instance Neural Networks. Pattern Recognition, Volume 74, February 2018, Pages 15-24, Doi: 10.1016/j.patcog.2017.08.026. pdf, code, bib

  50. Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang. Deep Multi-instance Learning with Dynamic Pooling. ACML, 2018. pdf, code, bib

  51. Mengting Chen, Xinggang Wang, Bin Feng, Wenyu Liu*. Structured random forest for label distribution learning. Neurocomputing Volume 320, 3 December 2018, Pages 171-182. pdf, bib

  52. Yuan Li, Xinggang Wang, Wenyu Liu, Bin Feng*. Deep attention network for joint hand gesture localization and recognition using static RGB-D images. Information Sciences. Volume 441, May 2018, Pages 66-78. pdf, bib

  53. Chao Li, Xinggang Wang*, Wenyu Liu, Longin Latecki. DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks. Medical Image Analysis. Volume 45, Pages 121-133, (2018) pdf, code, bib


  54. Year 2017

  55. Jianxiang Ma, Anlong Ming, Zilong Huang, Xinggang Wang, Yu Zhou. Object-Level Proposals. ICCV, 2017. pdf, bib

  56. Peng Tang, Xinggang Wang, Xiang Bai, and Wenyu Liu. Multiple Instance Detection Network with Online Instance Classifier Refinement. CVPR, 2017. pdf, code, bib

  57. Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu. TextBoxes: A Fast Text Detector with a Single Deep Neural Network. AAAI, 2017. pdf, code, bib

  58. Xinggang Wang, Wei Yang, Jeffrey Weinreb, Juan Han, Qiubai Li, Xiangchuang Kong, Yongluan Yan, Zan Ke, Bo Luo, Tao Liu, Liang Wang*. Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning. Scientific Reports, volume 7, Article number: 15415 (2017), doi:10.1038/s41598-017-15720-y. pdf, bib

  59. Peng Tang, Xinggang Wang*, Zilong Huang, Xiang Bai, Wenyu Liu. Deep Patch Learning for Weakly Supervised Object Classification and Discovery. Pattern Recognition, Volume 71, Pages 446-459, 2017. pdf code, bib

  60. Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu*. Learning Multi-instance Deep Discriminative Patterns for Image Classification. IEEE Transactions on Image Processing (TIP), vol. 26, no. 7, pp. 3385-3396, July 2017.

  61. Bin Feng, Fangzi He, Xinggang Wang, Yongjiang Wu, Hao Wang, Sihua Yi, Wenyu Liu. Depth-Projection-Map-Based Bag of Contour Fragments for Robust Hand Gesture Recognition. IEEE Trans. Human-Machine Systems (THMS) 47(4): 511-523 (2017)

  62. Chao Li, Xinggang Wang, Wenyu Liu*. Neural features for pedestrian detection. Neurocomputing, Volume 238, 17 May 2017, Pages 420–432

  63. Peng Tang, Jin Zhang, Xinggang Wang*, Bin Feng, Fabio Roli, Wenyu Liu. Learning Extremely Shared Middle-level Image Representation for Scene Classification. Knowledge and Information Systems (KIS), 52, 509–530 (2017), doi:10.1007/s10115-016-1015-z code


  64. Year 2016

  65. Baoguang Shi, Xinggang Wang, Pengyuan Lv, Cong Yao, Xiang Bai. Robust Scene Text Recognition with Automatic Rectification. CVPR, 2016. pdf, bib

  66. Xinggang Wang, Xiong Duan, Xiang Bai*. Deep sketch feature for cross-domain image retrieval. Neurocomputing, Volume 207, 26 September 2016, Pages 387–397. code

  67. Zhuotun Zhu, Xinggang Wang*, Song Bai, Cong Yao, Xiang Bai. Deep Learning Representation using Autoencoder for 3D Shape Retrieval. Neurocomputing, Volume 204, 5 September 2016, Pages 41–50

  68. Yingying Zhu, Chengquan Zhang, Duoyou Zhou, Xinggang Wang, Xiang Bai, Wenyu Liu*. Traffic Sign Detection and Recognition using Fully Convolutional Network Guided Proposals. Neurocomputing, Volume 214, 19 November 2016, Pages 758–766

  69. Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang. Shape recognition by bag of skeleton-associated contour parts. Pattern Recognition Letters, Volume 83, Part 3, 1 November 2016, Pages 321–329

  70. Sihua Yi, Nan Jiang, Bin Feng, Xinggang Wang, Wenyu Liu. Online similarity learning for visual tracking. Information Sciences, 364-365: 33-50 (2016)

  71. Sihua Yi, Nan Jiang, Xinggang Wang, Wenyu Liu. Individual adaptive metric learning for visual tracking. Neurocomputing 191: 273-285 (2016)

  72. Yang Wang, Xinggang Wang*, Wenyu Liu. Unsupervised Local Deep Feature for Image Recognition. Information Sciences (2016), Volume 351, 10 July 2016, Pages 67–75, 10.1016/j.ins.2016.02.044. bib


  73. Year 2015

  74. Xinggang Wang#, Zhuotun Zhu#, Cong Yao, Xiang Bai. Relaxed Multiple-Instance SVM with Application to Object Discovery. IEEE International Conference on Computer Vision (ICCV), 2015. pdf, code, bib

  75. Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, Zhijiang Zhang. DeepContour: A Deep Convolutional Feature for Contour Detection. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2015, Boston, USA. pdf, code, bib

  76. Chuanping Hu, Xiang Bai, Li Qi, Xinggang Wang, Gengjian Xue, Lin Mei. Learning Discriminative Pattern for Real-Time Car Brand Recognition. IEEE Trans. Intelligent Transportation Systems (TITS) 16(6): 3170-3181 (2015)

  77. Xiang Bai, Song Bai, Xinggang Wang*. Beyond diffusion process: Neighbor set similarity for fast re-ranking. Information Sciences Volume 325, 20 December 2015, Pages 342-354, doi: 10.1016/j.ins.2015.07.022. bib


  78. Year 2014

  79. Xiaojie Guo, Xinggang Wang, Liang Yang, Xiaochun Cao and Yi Ma, Robust Foreground Detection Using Smoothness and Arbitrariness Constraints, European Conference on Computer Vision (ECCV), Zurich, September, 2014. pdf, bib

  80. Xiang Bai, Cong Rao, and Xinggang Wang*. Shape Vocabulary: A Robust and Efficient Shape Representation for Shape Matching. IEEE Transactions on Image Processing (TIP) vol. 23, no. 9, pp. 3935-3949, Sept. 2014, doi: 10.1109/TIP.2014.2336542. pdf, bib

  81. Chen Duan, Xinggang Wang, Shuiming Shu, Changwei Jing, and Huawei Chang. Thermodynamic design of Stirling engine using multi-objective particle swarm optimization algorithm. Energy Conversion and Management, Volume 84, August 2014, Pages 88–96.

  82. Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, and Zhuowen Tu. Robust Subspace Discovery via Relaxed Rank Minimization. Neural Computation, Vol. 26, No. 3 April 2014, Pages 611-635. pdf, code, bib

  83. Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Bag of Contour Fragments for Robust Shape Classification. Pattern Recognition, Volume 47, Issue 6, June 2014, Pages 2116-2125. pdf, code, bib


  84. Year 2009 - 2013

  85. Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, and Zhuowen Tu, Max-Margin Multiple Instance Dictionary Learning, International Conference on Machine Learning (ICML), Atlanta, June, 2013. pdf, code, bib

  86. Xinggang Wang, Xiang Bai, Tianyang Ma, Wenyu Liu, Longin Latecki. Fan Shape Model for Object Detection. IEEE Computer Society Conference on Computer vision and Pattern Recognition (CVPR), 2012. pdf, code, bib

  87. Xinggang Wang, Xiang Bai, Xingwei Yang, Wenyu Liu, and Longin Jan Latecki. Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning. Neural Information Processing Systems Conf. (NIPS), 2011. pdf, bib

  88. Xinggang Wang, Xiang Bai, Wenyu Liu, Longin Latecki. Feature Context for Object Detection and Image Classification. IEEE Computer Society Conference on Computer vision and Pattern Recognition (CVPR), 2011. pdf, code, bib

  89. Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu. Object Recognition using Junctions. European Conference on Computer Vision (ECCV), 2010. pdf

  90. Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu. Co-Transduction for Shape Retrieval. European Conference on Computer Vision (ECCV), 2010. pdf

  91. Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, and Zhuowen Tu. Active Skeleton for Non-rigid Object Detection. IEEE International Conference on Computer Vision (ICCV), 2009. pdf, code

Other Conference Papers

  1. Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang. Motion-Guided Spatial Time Attention for Video Object Segmentation. In Proceedings of the IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 0-0. 2019.

  2. Shuanlong Niu, Hui Lin, Tongzhi Niu, Bin Li, Xinggang Wang. DefectGAN: Weakly-Supervised Defect Detection using Generative Adversarial Network. International Conference on Automation Science and Engineering (CASE), 2019

  3. Shoufa Chen, Xinggang Wang. Single-shot Detector with Multiple Inference Paths. IEEE International Conference on Image Processing (ICIP), 2019

  4. Jiasi Wang, Xinggang Wang, and Wenyu Liu. Weakly- and Semi-supervised Faster R-CNN with Curriculum Learning. ICPR, 2018 pdf

  5. Yongluan Yan, Xinggang Wang, Xin Yang, Xiang Bai, and Wenyu Liu. Joint Classification Loss and Histogram Loss for Sketch-based Image Retrieval. ICIG, 2017 (oral)

  6. Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, and Zhuowen Tu. One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. Asian Conference on Computer Vision (ACCV), 2012. pdf

  7. Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, and Zhuowen Tu, Scale-space SIFT Flow. IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs CO, March, 2014. pdf

  8. Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, Xiang Bai. Deep Learning Representation using Autoencoder for 3D Shape Retrieval, ICSPAC 2014, Wuhan

  9. Wei Shen, Xinggang Wang, Cong Yao, Xiang Bai. Shape Recognition by Combining Contour and Skeleton into a Mid-Level Representation. CCPR (1) 2014: 391-400

  10. Xin Yang, Xinggang Wang, Tim Cheng. OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality. International Conference on Multimedia Modeling (MMM), 2016

  11. Xinggang Wang, Xin Yang, Wenyu Liu, Chen Duan, Longin Latecki. Location-Aware Image Classification. International Conference on Multimedia Modeling (MMM), 2016

  12. Song Bai, Xinggang Wang, Cong Yao, Xiang Bai. Multiple Stage Residual Model for Accurate Image Classification. ACCV (1) 2014: 430-445

  13. Song Bai, Xinggang Wang, Xiang Bai. Aggregating contour fragments for shape classification. ICIP 2014: 5252-5256

  14. Yingying Zhu, Xinggang Wang, Cong Yao, Xiang Bai. Traffic sign classification using twolayer image representation. International Conference on Image Processing (ICIP), 2013.

  15. Yueming Wang, Xinggang Wang, Shaojun Zhu, Xiang Bai, Wenyu Liu, Adjacent Coding for Image Classification. International Conference on Pattern Recognition (ICPR), 2012.

  16. Meng Yi, Tatyana Nuzhnaya, Vasileios Megalooikonomou, Xinggang Wang, Longin Jan Latecki, Mark Kohn, Robert Steiner. Lung Image Classification using Locality-Constrained Linear Coding. STMI 2012: MICCAI Workshop on Sparsity Techniques in Medical Imaging. pdf

  17. Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, and Zhuowen Tu, Disagreement-Based Multi-System Tracking, Workshop of Detection and Tracking in Challenging Environments, 2012. pdf

Book Chapters

  1. Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, Zhuowen Tu. Scale-Space SIFT Flow. Book Chapter: Dense Image Correspondences for Computer Vision (Edited by Tal Hassner and Ce Liu), pp. 51-70, Springer, 2016.

Misc

  1. Qiang Zhou, Zilong Huang, Lichao Huang, Yongchao Gong, Han Shen, Wenyu Liu, Xinggang Wang. Motion-Guided Spatial Time Attention for Video Object Segmentation. Proceedings of the IEEE International Conference on Computer Vision Workshops. 2019. 2nd place in the 2nd Large-scale Video Object Segmentation Challenge. pdf

  2. Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu. A PyTorch Semantic Segmentation Toolbox. pdf code

Phd Thesis

  1. Xinggang Wang. 物体识别中的形状建模和弱监督学习 (Shape Modeling and Weakly Supervised Learning in Object Recognition). Nov. 8, 2014. In Chinese. pdf

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