成果

论文列表

代表性论文列表如下：

  1. Zhiliang Peng∗ , Wenhui Wang∗ , Li Dong∗ , Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei. Kosmos-2: Grounding Multimodal Large Language Models to the World. International Conference on Learning Representations (ICLR), 2024. [pdf]
  2. Hongtian Yu, Yunjie Tian, Qixiang Ye, Yunfan Liu. Spatial Transform Decoupling for Oriented Object Detection. Association for the Advancement of Artificial Intelligence (AAAI), 2024. [pdf]
  3. Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang. BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. [pdf]
  4. Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan. Generative prompt model for weakly supervised object localization. IEEE International Conference on Computer Vision (ICCV), 2023. [pdf]
  5. Feng Liu*, Xiaosong Zhang*, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye. Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. IEEE International Conference on Computer Vision (ICCV), 2023. [pdf]
  6. Yunjie Tian, Lingxi Xie, Zhaozhi Wang, Longhui Wei, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye. Integragrally Pre-Trained Transformer Pyramid Networks. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [pdf]
  7. Wei Huang∗, Zhiliang Peng∗, Li Dong, Furu Wei, Jianbin Jiao and Qixiang Ye. Generic-to-Specific Distillation of Masked Autoencoders. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [pdf]
  8. Mingxiang Liao, Zhonghao Guo, Yuze Wang, Peng Yuan, Bailan Feng, Fang Wan. AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [pdf]
  9. Xiaosong Zhang, Yunjie Tian, Lingxi Xie, Wei Huang, Qi Dai, Qixiang Ye, Qi Tian. HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer. International Conference on Learning Representations (ICLR), 2023. [pdf]
  10. Zhiliang Peng, Li Dong, Hangbo Bao, Furu Wei and Qixiang Ye. A Unified View of Masked Image Modeling. Transactions on Machine Learning Research (TMLR), 2023. [pdf]
  11. Zhiliang Peng, Zonghao Guo, Wei Huang, Yaowei Wang, Lingxi Xie, Jianbin Jiao, Qi Tian and Qixiang Ye. Conformer: Local Features Coupling Global Representations for Visual Recognition and Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [pdf]
  12. Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye. End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution. European Conference on Computer Vision (ECCV), 2022. [pdf]
  13. Weixi Zhao, Weiqiang Wang, Yunjie Tian. GraFormer: Graph-Oriented Transformer for 3D Pose Estimation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [pdf]
  14. Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye. Dynamic Support Network for Few-shot Class Incremental Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [pdf]
  15. Yuan Li, Jianming Zhu, Jianbin Jiao and Qi Zhang. Competitive Influence Minimization in Multi-Group Social Networks: An Opinion-Based Solution. IEEE Transactions on Network Science and Engineering (TNSE), 2022. [pdf]
  16. Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye. Long-tailed Distribution Adaptation. Proceedings of ACM International Conference on Multimedia (ACM MM), 2021. [pdf]
  17. Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao and Qixiang Ye. Conformer: Local Features Coupling Global Representations for Visual Recognition. IEEE International Conference on Computer Vision (ICCV), 2021. [pdf]
  18. Yunjie Tian, Chang Liu, Lingxie Xie, Qixiang Ye. Discretization-Aware Architecture Search. Pattern Recognition (PR), 2021. [pdf]
  19. Wei Gao, Fang Wan, Jun Yue, Songcen Xu, Qixiang Ye, 2021. Discrepant multiple instance learning for weakly supervised object detection . Pattern Recognition (PR)，2021.[pdf]
  20. Feng Liu, Xiaosong Zhang, Fang Wan, Xiangyang Ji, Qixiang Ye, 2021. Domain Contrast for Domain Adaptive Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)，2021.[pdf][source code]
  21. Chang Liu*, Yunjie Tian*, Jianbin Jiao, Qixiang Ye. Adaptive Linear Span Network for Object Skeleton Detection. IEEE Transactions on Image Processing (TIP), 2021.[pdf]
  22. Xiaosong Zhang, Fang Wan, Chang Liu, Xiangyang Ji, Qixiang Ye. Learning to Match Anchors for Visual Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.[pdf]
  23. Qixiang Ye, Fang Wan, Chang Liu, Qingming Huang, Xiangyang Ji. Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.[pdf]
  24. Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu and Qixiang Ye. Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021[pdf][source code]
  25. Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji and Qixiang Ye. Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021[pdf][source code]
  26. Binghao Liu, Jianbin jiao, and Qixiang Ye. Harmonic Feature Activation for Few-shot Semantic Segmentation. IEEE Transactions on Image Processing (TIP), 2021[pdf][source code]
  27. Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye. Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[pdf][source code]
  28. Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, and Qixiang Ye, Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented andDensely Packed Object Detection, (CVPR), 2021.[pdf][source code]
  29. Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye. Multiple Instance Active Learning for Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.[pdf][source code]
  30. T. Zhang, Q. Ye, B. Zhang, J. Liu, X. Zhang, Q. Tian. Feature Calibration Network for Occluded Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems (TITS), 2020.[pdf]
  31. Yao Yuan, Liu Chang, Luo Dezhao, Zhou Yu, Ye Qixiang. Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning (CVPR), 2020.[pdf]
  32. Yanzhao Zhou, Xing Wang, Jianbin Jiao, Trevor Darrell, and Fisher Yu. Learning Saliency Propagation for Semi-Supervised Instance Segmentation (CVPR), 2020.[pdf]
  33. Boyu Yang and Chang Liu and Bohao Li and Jianbin Jiao, and Ye, Qixiang Prototype Mixture Models for Few-shot Semantic Segmentation (ECCV), 2020[pdf][source code]
  34. Dezhao Luo*, Chang Liu*, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang. Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.[pdf]
  35. Yifei Zhang*, Chang Liu*, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye. Progressive Cluster Purification for Unsupervised Feature Learning. (ICPR) 2020.[pdf]
  36. Yuanqiang Cai, Chang Liu, Peirui Cheng, Dawei Du, Libo Zhang, Weiqiang Wang, Qixiang Ye. Scale-residual Learning Network for Scene Text Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.[pdf]
  37. T. Zhang, Z. Han, H. Xu, B. Zhang, Q. Ye. CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019.[pdf]
  38. Q. Ye, T. Zhang, W. Ke. Progressive Latent Models for Self-Learning Scene-Specific Pedestrian Detectors. IEEE Transactions on Intelligent Transportation Systems (TITS), 2019.[pdf]
  39. J. Wang, Z Xiao, C. Liu, D. Zhao, Z. Yao: Deep-Learning for Picking Seismic Arrival Times. Journal of Geophysical Research: Solid Earth[pdf]
  40. F. Wan, C. Liu, W. Ke, X. Ji, J Jiao, Q. Ye: C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral, 2019.[pdf]
  41. C. Liu, F. Wan, W. Ke, Z Xiao, Y. Yao, X. Zhang, Q. Ye: Orthogonal Decomposition Network for Pixel-Wise Binary Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.[pdf]
  42. C. Miao, L. Xie, F. Wan, C. Su, H. Liu, J. Jiao, Q. Ye. SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019[pdf]
  43. Y. Zhu, Y. Zhou, H. Xu, Q. Ye, D. Doermann, J. Jiao. Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.[pdf]
  44. N. Jiang, Y. Zhang, D. Luo, C. Liu, Y. Zhou, Z. Han: Feature Hourglass Network for Skeleton Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2019.[pdf]
  45. C. Liu, D. Luo, Y. Zhang, W. Ke, F. Wan, Q. Ye: Parametric Skeleton Generation via Gaussian Mixture Models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, oral, 2019.[pdf]
  46. X. Zhang, F. Wan, C. Liu, R. Ji, Q. Ye: FreeAnchor: Learning to Match Anchors for Visual Object Detection. Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2019. [pdf]
  47. H. Xue, C. Liu, F. Wan, J. Jiao, X Ji and Q. Ye. DANet: Divergent Activation for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV) 2019 [pdf]
  48. Y. Ding, Y. Zhou, Y. Zhu, Q. Ye and J. Jiao. Selective Sparse Sampling for Fine-grained Image Recognition. IEEE International Conference on Computer Vision (ICCV) 2019. [pdf]
  49. C. Liu*, W. Ke*, F. Qin, Q. Ye. Linear Span Network for Object Skeleton Detection. ECCV, 2018. *-indicates equal contributions[pdf][source code]
  50. Y. Zhou, Y. Zhu, Q. Ye, Q. Qiu, and J. Jiao. Weakly Supervised Instance Segmentation using Class Peak Response. CVPR(Spotlight), 2018.[pdf][source code]
  51. F. Wan, P. Wei, J. Jiao, Z. Han and Q. Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection. CVPR, 2018.[pdf][source code]
  52. W. Deng, L. Zheng, Q. Ye, G. Kang, Y. Yang, and J. Jiao. Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. CVPR, 2018.[pdf][source code]
  53. Y. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao. Soft Proposal Networks for Weakly Supervised Object Localization. ICCV, 2017.[pdf][source code]
  54. C. Liu, W. Ke, J. Jiao, and Q. Ye. RSRN: Rich Side-output Residual Network for Medial Axis Detection. ICCV Workshop, 2017.[pdf]
  55. P. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao and Q. Ye. Correlated Topic Vector for Scene Classification, IEEE Transactions on Image Processing (TIP), 2017.[pdf]
  56. W. Ke, J. Chen, J. Jiao, and Q. Ye. SRN: Side-output Residual Network for Object Symmetry Detection in the Wild. CVPR(Oral), 2017.[pdf][source code]
  57. Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao. Oriented Response Networks. CVPR, 2017.[pdf][source code]
  58. Q. Ye, T. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro. Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CVPR, 2017.[pdf][source code]
  59. M. Shi, F. Qin, Q. Ye, Z. Han, and J. Jiao, "A scalable convolutional neural network for task-specified scenarios via knowledge distillation," in IEEE ICASSP 2017. [pdf]
  60. B. Zhang, Z. Li, X. Cao,Q. Ye, C. Chen, L. Shen, A. Perina, and R. Ji,"Output Constraint Transfer for Kernelized Correlation Filter in Tracking," in IEEE WACV 2017 [pdf]
  61. Z. Li, Z. Han, Q. Ye, Person re-identification via adaboost ranking ensemble, IEEE International Conference on Image Processing (ICIP), 2016, 4269-4273. [pdf]
  62. F. Wan, P. Wei, Z. Han, K. Fu, Q. Ye, Weakly supervised object detection with correlation and part suppression, IEEE International Conference on Image Processing (ICIP), 2016, 3638-3642. [pdf] [source code]
  63. W. Ke, T. Zhang, J. Chen, F. Wan, Q. Ye, Z. Han, Texture Complexity Based Redundant Regions Ranking for Object Proposal, IEEE Conference on Computer Vision and Pattern Workshop, 2016. [pdf]
  64. Q. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.37, No.3, pp.1480-1500, 2015.[pdf]
  65. S. Gao, Z. Han, C. Li, Q. Ye, J. Jiao, "Real-time Multi-pedestrian Tracking in Traffic Scenes via an RGB-D based Layered Graph Model," IEEE Transactions on Intelligent Transportation Systems, 2015.[pdf]
  66. W. Ke, Y. Zhang, P. Wei, Q. Ye, J. Jiao, “Pedestrian Detection via PCA Filters Based Convolutional Channel Features,” IEEE Int'l Conf. Acoustic, Speech and Signal Processing (ICASSP), 2015. [pdf] [source code]
  67. H. Zhu, X. Chen, W. Dai, K. Fu, Q. Ye, J. Jiao, "Orientation Robust Object Detection in Aerial Images Using Deep Convolutional Neural Network," IEEE Int'l Conf. Image Processing, 2015.[pdf]
  68. X. Zhang, X. Song, X. Lv, S. Jiang, Q. Ye, J. Jiao. "Rich image description based on regions". ACM Multimedia Conference, 2015.[pdf]
  69. L. Zhang, Q. Ye, W. Yang, J. Jiao, “Weld Line Detection and Tracking via Spatial-Temporal Cascaded Hidden Markov Models and Cross Structured Light,” IEEE Transactions on Instrumentation and Measurement, Vol.6, No.4, pp.742-752, 2014.[pdf] [source code]
  70. C. Li, Z. Han, S. Gao, L. Pang, Q. Ye, J. Jiao, "Locality-constrained Sparse Reconstruction for Trajectory Classification," IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  71. J. Zou, Q. Ye, Y. Cui, D. Doermann, J. Jiao, "A Belief based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes," IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  72. S. Gao, Z. Han, D. Doermann, J. Jiao,"Depth Structure Association for RGB-D Multi-Target Tracking", IEEE Int'l Conf. Pattern Recognition, 2014.[pdf]
  73. Q. Ye, D. Doermann, "Robust Scene Text Detection Using Integrated Feature Discrimination," IEEE Int'l Conf. Image Processing, 2014.[pdf] [source code]
  74. J. Zou, Y. Cui, F. Wan, Q. Ye, J. Jiao, "A Cluster Specific Latent Dirichlet Allocation Model for Trajectory Clustering in Surveillance Videos," IEEE Int'l Conf. Image Processing, 2014.[pdf]
  75. Q．Ye, Z. Han, J. Jiao, and J. Liu, “Human Detection In Images Via Piecewise Linear Support Vector,” IEEE Transactions on Image Processing, vol.22. no.2, pp.778-789, 2013. [pdf] [source code]
  76. Q. Ye, J. Liang, J. Jiao, "Pedestrian Detection In Video Images Via Error Correcting Output Code Classification Of Manifold Subclasses," IEEE Transactions on Intelligent Transportation Systems, vol.1, pp.193-202, 2012.[pdf]
  77. R. Xu, J. Jiao, B. Zhang, Q. Ye, “Pedestrian Detection in Images via Cascaded L1-Norm Minimization Learning Method,” Pattern Recognition, vol.45, pp.2573-2583, 2012.[pdf]
  78. W. Gao, X. Chen, Q. Ye, and J. Jiao, "Pedestrian Detection via Part-based Topology Model",IEEE Int'l Conf. Image Processing (ICIP), 2012.[pdf]
  79. 叶齐祥,焦建彬.基于多尺度方向特征的快速鲁棒人体检测算法.软件学报,22(12),pp.3004-3014,2011.[pdf]
  80. Z. Han, J. Jiao, Q. Ye, J. Liu, “Visual Object Tracking Via Sample-Based Adaptive Sparse Representation,” Pattern Recognition, Vol.44, pp.2170-2183, 2011.[pdf]
  81. Z. Han, Q. Ye, J. Jiao, “Combined Feature Evaluation for Adaptive Visual Object Tracking,” Computer Vision and Image Understanding, Vol.115, pp. 69-80, 2011.[pdf]
  82. Z. Han, J. Jiao, and Q. Ye, "A Fast Object Tracking Approach Based on Sparse Representation," IEEE Int'l Conf. Image Processing (ICIP), 2011.[pdf]
  83. R. Xu, J. Jiao, and Q. Ye, "Nonlinear L1-Norm Minimization Learning for Human Detection," IEEE Int'l Conf. Image Processing (ICIP), 2011.[pdf]
  84. R. Xu, B. Zhang, Q. Ye, and J. Jiao, "Human Detection in Image via L1-Norm Minimization Learning," IEEE Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2010.[pdf]
  85. R. Xu, B. Zhang, Q. Ye, and J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR), 2010.[pdf]
  86. J. Jiao, Q. Ye, and Q. Huang, "A Configurable Method for Multi-Style License Plate Recognition," Pattern Recognition, vol.42, no.3, pp.358-369, 2009.[pdf]
  87. Z. Han, Q. Ye, and J. Jiao, “Online Feature Evaluation for Object Tracking Using Kalman Filter,” IEEE Int'l Conf. Pattern Recognition (ICPR), 2008.[pdf]
  88. Q. Ye, Q. Huang, W. Gao, D. Zhao, “Fast and robust text detection in image and video frames,” Image and Vision Computing，" vol.23, no.6, pp.565-576, 2005.[pdf][source code]
  89. 叶齐祥，高文，王伟强，黄铁军，"一种融合颜色和空间信息的彩色图像分割算法," 《软件学报》, 2004年4月.[pdf]