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Google Scholar Profile & DBLP Profile & ORCID: 0000-0001-6732-7823 & Paperswithcode & arXiv

Source codes of some publications are available on Github

# indicates equal contribution and * indicates corresponding author

Major Journal & Conference Papers


    Year 2024

  1. Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, Xiaopeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang*. 4d gaussian splatting for real-time dynamic scene rendering. CVPR 2024. pdf, code.

  2. Taoran Yi, Jiemin Fang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, Xinggang Wang*. Gaussiandreamer: Fast generation from text to 3d gaussian splatting with point cloud priors. CVPR 2024. pdf, code.

  3. Haoyi Jiang, Tianheng Cheng, Naiyu Gao, Haoyang Zhang, Wenyu Liu, Xinggang Wang. Symphonize 3d semantic scene completion with contextual instance queries. CVPR 2024. pdf, code.

  4. Tianheng Cheng, Lin Song, Yixiao Ge, Wenyu Liu, Xinggang Wang, Ying Shan. YOLO-World: Real-Time Open-Vocabulary Object Detection. CVPR 2024. pdf, code.

  5. Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang*. Mobileinst: Video instance segmentation on the mobile. AAAI 2024. pdf.

  6. Jingfeng Yao, Xinggang Wang*, Shusheng Yang, Baoyuan Wang. ViTMatte: Boosting image matting with pre-trained plain vision transformers. Information Fusion, Volume 103, March 2024, 102091, DOI: 10.1016/j.inffus.2023.102091. pdf, code.

  7. Zhenyang Hao, Xinggang Wang*, Jiawei Liu, Zhihang Yuan, Dawei Yang, Wenyu Liu. Stabilized activation scale estimation for precise Post-Training Quantization. Neurocomputing, Volume 569, 7 February 2024, 127120, DOI: 10.1016/j.neucom.2023.127120. pdf, code.


    8. Year 2023

  8. Yuxin Fang, Xinggang Wang*, Rui Wu, Wenyu Liu. What Makes for Hierarchical Vision Transformer?. IIEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), Volume: 45, Issue: 10, October 2023, DOI: 10.1109/TPAMI.2023.3282019. pdf, code

  9. Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu. VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild. IIEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), Volume: 45, Issue: 2, 01 February 2023, DOI: 10.1109/TPAMI.2023.3282019. pdf

  10. Jialv Zou, Xinggang Wang*, Jiahao Guo, Wenyu Liu, Qian Zhang, Chang Huang. Circuit as Set of Points. NeurIPS 2023. pdf, code.

  11. Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang*. VAD: Vectorized Scene Representation for Efficient Autonomous Driving. ICCV 2023. pdf, code.

  12. Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang*. Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection. ICCV 2023. pdf, code.

  13. Ruiqi Wang, Xinggang Wang, Te Li, Rong Yang, Minhong Wan, Wenyu Liu. Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation. ICCV 2023. pdf, code.

  14. Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi (Stephen) Chen, Xinggang Wang, Hongyang Chao, Han Hu. TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. ICCV 2023. pdf, code.

  15. Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin, Bo Yang, Botao He, Bin Feng, Wenyu Liu. Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition. IEEE Transactions on Image Processing (IEEE TIP), vol. 32, pp. 4773-4784, 2023, doi: 10.1109/TIP.2023.3305822. pdf

  16. 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), vol. 45, no. 6, pp. 6896-6908, 1 June 2023, doi: 10.1109/TPAMI.2020.3007032. pdf, code, bib

  17. Shaoyu Chen, Tianheng Cheng, Jiemin Fang, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang*. TinyDet: accurately detecting small objects within 1 GFLOPs. Science China Information Sciences (SCIS) 66, 119102, 2023, https://doi.org/10.1007/s11432-021-3504-4. pdf.

  18. Jiapei Feng, Xinggang Wang, Te Li, Shanshan Ji, Wenyu Liu. Weakly-supervised semantic segmentation via online pseudo-mask correcting. Pattern Recognition Letters (PRL) 2023 . pdf.

  19. Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao. EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. CVPR 2023 (Highlight paper, accept rate 2.5%). pdf, code.

  20. Tianheng Cheng, Xinggang Wang*, Shaoyu Chen, Qian Zhang, Wenyu Liu. Exploring High-Quality Pseudo Masks for Weakly Supervised Instance Segmentation. CVPR 2023. pdf, code.

  21. Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang*. RILS: Masked Visual Reconstruction in Language Semantic Space. CVPR 2023. pdf, code.

  22. Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu. PD-Quant: Post-Training Quantization based on Prediction Difference Metric. CVPR 2023. pdf, code.

  23. Bencheng Liao, Shaoyu Chen, Xinggang Wang*, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang. MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction. ICLR 2023 (Spotlight). pdf, code.

  24. Yuxin Fang, Li Dong, Hangbo Bao, Xinggang Wang, Furu Wei. Corrupted Image Modeling for Self-Supervised Visual Pre-Training. ICLR 2023 (Spotlight). pdf, code.

  25. Xiaohu Huang, Hao Zhou, Bin Feng, Xinggang Wang, Wenyu Liu, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang. Graph Contrastive Learning for Skeleton-based Action Recognition. ICLR 2023. PDF.


    26. Year 2022

  26. Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang. ByteTrack: Multi-Object Tracking by Associating Every Detection Box. ECCV 2022. pdf, code, bib.

  27. Tianheng Cheng, Xinggang Wang*, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, Wenyu Liu. Sparse Instance Activation for Real-Time Instance Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. pdf, code, bib.

  28. Shaoyu Chen, Xinggang Wang*, Tianheng Cheng, Wenqiang Zhang, Qian Zhang, Chang Huang, Wenyu Liu. AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. pdf, code, bib.

  29. Jiemin Fang, Lingxi Xie, Xinggang Wang*, Xiaopeng Zhang, Wenyu Liu, Qi Tian. MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. pdf, code, bib.

  30. Shusheng Yang, Xinggang Wang*, Yu Li, Yuxin Fang, Jiemin Fang, Wenyu Liu, Xun Zhao, Ying Shan. Temporally Efficient Vision Transformer for Video Instance Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. pdf, code, bib.

  31. Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang*, Wenyu Liu*, Gang Yu, Chunhua Shen. TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022. pdf, code, bib.

  32. Zhi Liu, Shaoyu Chen, Xiaojie Guo, Xinggang Wang, Tianheng Cheng, Hongmei Zhu, Qian Zhang, Wenyu Liu, Yi Zhang. Vision-based uneven bev representation learning with polar rasterization and surface estimation. Conference on Robot Learning (CoRL) 2022. pdf, code.

  33. 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), vol. 44, no. 1, pp. 550-557, 1 Jan. 2022, doi: 10.1109/TPAMI.2021.3062772. pdf, code, bib

  34. Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang, Xiang Bai, Wenqing Cheng, Wenyu Liu. YOLOP: You Only Look Once for Panoptic Driving Perception. Machine Intelligence Research, 19(6): 550-562 (2022). pdf, code, bib

  35. Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai. Occluded Video Instance Segmentation: A Benchmark. Int. J. Comput. Vis. (IJCV) 130(8): 2022-2039

  36. Lin Niu, Xinggang Wang, Chen Duan, Qiongxia Shen, Wenyu Liu. Local Point Matching Network for Stabilized Crowd Counting and Localization. PRCV (1) 2022: 566-579

  37. Jiemin Fang, Taoran Yi, Xinggang Wang*, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Matthias Nießner, Qi Tian. Fast Dynamic Radiance Fields with Time-Aware Neural Voxels. SIGGRAPH Asia 2022: 11:1-11:9. pdf, code, bib

  38. Huangxuan Zhao, Zhenghong Zhou, Feihong Wu, Dongqiao Xiang, Hui Zhao, Wei Zhang, Lin Li, Zhong Li, Jia Huang, Hongyao Hu, Chengbo Liu, Tao Wang, Wenyu Liu, Jinqiang Ma*, Fan Yang*, Xinggang Wang*, Chuansheng Zheng*. Self-supervised learning enables 3D digital subtraction angiography reconstruction from ultra-sparse 2D projection views: A multicenter study, Cell Reports Medicine, Volume 3, Issue 10, 2022, 100775, ISSN 2666-3791. bib

  39. Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu. Multi-object Tracking by Marginal Inference. ECCV (22) 2022: 22-40. PDF.

  40. Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan. AiATrack: Attention in Attention for Transformer Visual Tracking. ECCV (22) 2022: 146-164. PDF, code.

  41. Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian. Bag of Instances Aggregation Boosts Self-supervised Distillation. ICLR 2022.


    42. Year 2021

  42. Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu. FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking. International Journal of Computer Vision (IJCV), 129, pages3069–3087 (2021). pdf, code.

  43. 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), vol. 43, no. 10, pp. 3349-3364, 1 Oct. 2021, doi: 10.1109/TPAMI.2020.2983686. pdf, code, bib

  44. Jiyang Qi, Xinggang Wang*, Yao Hu, Xu Tang, Wenyu Liu. Pyramid Self-attention for Semantic Segmentation. In Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 480-492, 2021.

  45. Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge Belongie, Alan Yuille, Philip Torr, Song Bai. Occluded Video Instance Segmentation: Dataset and Challenge. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021.

  46. Yuxin Fang#, Bencheng Liao#, Xinggang Wang*, Jiemin Fang, Jiyang Qi, Rui Wu, Jianwei Niu, Wenyu Liu. You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021. pdf, code, bib

  47. 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)， vol. 43, no. 9, pp. 2990-3004, 1 Sept. 2021, doi: 10.1109/TPAMI.2020.3044416. pdf, code, bib

  48. 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), Volume 206, 2021,103188, doi:10.1016/j.cviu.2021.103188. pdf, code, bib

  49. 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), Volume 64 , Issue 9 : 192106(2021) https://doi.org/10.1007/s11432-020-3112-8. pdf, code, bib

  50. 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), 64, 192105 (2021). https://doi.org/10.1007/s11432-020-2973-7. pdf, code, bib

  51. Yuxin Fang#, Shusheng Yang#, Xinggang Wang*, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu. Instances as Queries. International Conference on Computer Vision (ICCV) 2021. pdf, code.

  52. Shusheng Yang#, Yuxin Fang#, Xinggang Wang*, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu. Crossover Learning for Fast Online Video Instance Segmentation. International Conference on Computer Vision (ICCV) 2021. pdf, code.

  53. Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang*. Hierarchical Aggregation for 3D Instance Segmentation. International Conference on Computer Vision (ICCV) 2021.

  54. Xiaohu Huang, Duowang Zhu, Hao Wang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng. Context-Sensitive Temporal Feature Learning for Gait Recognition. International Conference on Computer Vision (ICCV) 2021.

  55. 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. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. pdf, code.

  56. Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang*. Human De-occlusion: Invisible Perception and Recovery for Humans. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. pdf, dataset.

  57. Wenqiang Zhang, Jiemin Fang, Xinggang Wang*, Wenyu Liu. EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search. Computational Visual Media (CVMJ), volume 7, pages 335–347 (2021). pdf, code, bib

  58. 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

  59. 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

  60. 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


    61. Year 2020

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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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


    78. Year 2019

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

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

  80. 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

  81. 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

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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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.


    89. Year 2018

  89. 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

  90. 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

  91. 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

  92. 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

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

  94. 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

  95. 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

  96. 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


    97. Year 2017

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

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

  99. 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

  100. 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

  101. 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

  102. 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.

  103. 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)

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

  105. 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


    106. Year 2016

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

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

  108. 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

  109. 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

  110. 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

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

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

  113. 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


    114. Year 2015

  114. 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

  115. 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

  116. 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)

  117. 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


    118. Year 2014

  118. 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

  119. 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

  120. 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.

  121. 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

  122. 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


    123. Year 2009 - 2013

  123. 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

  124. 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

  125. 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

  126. 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

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

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

  129. 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

Technical Reports

  1. Shaoyu Chen, Tianheng Cheng, Xinggang Wang, Wenming Meng, Qian Zhang, Wenyu Liu. Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer. arXiv preprint arXiv:2206.04584 (2022).

  2. Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Chang Huang, Wenyu Liu. Polar Parametrization for Vision-based Surround-View 3D Detection. arXiv preprint arXiv:2206.10965 (2022).

  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. 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)

  5. 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

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

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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