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Object Detection (new)
[1] X. Zhang, F. Wan, C. Liu, X. Ji, Q. Ye, "Learning to Match Anchors for Visual Object Detection," IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), DOI: 10.1109/TPAMI.2021.3050494. [pdf][source-code].
[2] C. Liu, Y. Tian J. Jiao, Q. Ye, "Adaptive Linear Span Network for Object Skeleton Detection," IEEE Trans. Image Process. (TIP) 2021, 30:5096-5108. [pdf][source_code].
[3] T. Yuan, F. Wan, M. Fu, J. Liu, C. Xu, X. Ji, Q. Ye, "Multiple Instance Active Learning for Object Detection," IEEE CVPR 2021[pdf][source_code].
[4] Z. Guo, C. Liu, X. Zhang, J. Jiao, X. Ji, Q. Ye, "Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection," IEEE CVPR 2021.
[5] B. Li, B. Yang, C. Liu, F. Liu, R. Ji, Q. Ye, "Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection," IEEE CVPR 2021.
[6] B. Liu, Y. Ding, J. Jiao, X. Ji, Q. Ye, Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation, IEEE CVPR 2021.
[7] B. Liu, J. Jiao, Q. Ye, "Harmonic Feature Activation for Few-Shot Semantic Segmentation," IEEE Trans. Image Process. (TIP), 30(2):3142 - 3153, 2021 [pdf][source_code].
[8] W. Ke, J. Chen, J. Jiao, G. Zhao, Q. Ye, "SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond," IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 32(5):1881-1895, 2021. [pdf][source_code]
[9] W. Ke, T. Zhang, Z. Huang, Dong Huang, Q. Ye, "Multiple Anchor Learning for Visual Object Detection, " IEEE CVPR, 2020[pdf][source_code].
[10] M. Lin, Y. X. Tian, B. Zhang, Q. Ye, W. Liu, D. Doermann, "iffDetector: Inference-Aware Feature Filtering for Object Detection," IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 2021 (To Appear).
[11] J. H, L. Zhou, X. Wang, J. Zhang, Y. Mao, Q. Ye, "SPSTracter: Sub-Peak Depression of Response Map for Robust Object Tracking," AAAI 2020. [pdf][source-code]
[12] B. Yang, C Liu, B. Li, J. Jiao, Q. Ye, "Prototype Mixture Models for Few-shot Semantic Segmentation," ECCV 2020. [pdf][source-code].
[13] Y. Zhu, X. Liang, B. Lin, J. Jiao, Q. Ye, L. Lin, X. Liang, "Configurable Graph Reasoning for Visual Relationship Detection," IEEE Trans. Neural Networks Learn. Syst. (TNNLS), 2020. (To Appear)
[14] Y. Cai, C. Liu, P. Cheng, D. Du, Bo. Li, W. Wang, Q. Ye, "Scale-residual Learning Network for Scene Text Detection, " IEEE Trans. Circuits Syst. Video Technol. (T-CSVT), 2020 (To Appear).
[15] T. Zhang, Q. Ye, B. Zhang, J. Liu, X. Zhang, Q. Tian, "Feature Calibration Network for Occluded Pedestrian Detection, " IEEE Trans. Intell. Transp. Syst. (T-ITS), 2020[PDF].
[16] X. Zhang, F. Wan, C. Liu, R. Ji, Q. Ye, "FreeAnchor: Learning to Match Anchors for Visual Object Detection," NeurIPS 2019. [pdf][source-code]
Weakly Supervised & Self-Learning
[17] Q. Ye, F. Wan, C. Liu, Q. Huang, X. Ji, "Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection, " IEEE Trans. Neural Networks Learn. Syst. (TNNLS),10.1109/TNNLS.2021.3070801 . [pdf][source_code]
[18] B. Yang, F. Wan, B. Li, C. Liu, X. Ji, Q. Ye, "Part-based Semantic Transform for Few-shot Semantic Segmentation," IEEE Trans. Neural Networks Learn. Syst. (TNNLS) , 2021, 10.1109/TNNLS.2021.3084252.
[19] C. Zhang, Z. Li, J. Liu, P. Peng, Q. Ye, S. Lu, T. Huang, Y. Tian, "Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection", IEEE Transactions on Multimedia 10.1109/TMM.2021.3078141 [pdf]
[20] F. Wan, T. Yuan, M. Fu, Q. Huang, X. Ji, Q. Ye, Nearest Neighbor Classifier Embedded Network for Active Learning, AAAI 2021(To Appear).
[21] M. Fu, T. Yuan, F. Wang, S. Xu, Q. Ye, Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment, AAAI 2021(To Appear).
[22] K. Sun, H. Liu, Q. Ye, Y. Gao, J. Liu, L. Shao, R. Ji, Domain General Face Forgery Detection by Learning to Weight, AAAI 2021(To Appear).
[23] Y. Yao, C. Liu, D. Luo, Y. Zhou, Q. Ye, "Video Playback Rate Perception for Self-Supervised Spatio-Temporal RepresenationLearning," IEEE CVPR, 2020. [pdf][source-code].
[24] Y. Zhai, S. Lv, Q. Ye, J. Chen, R. Ji, Y. Tian, "AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification," IEEE CVPR, 2020. [pdf].
[25] D. Luo, C. Liu, Y. Zhou, W. Wang, Q. Ye., Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning, AAAI 2020. [pdf][source-code]
[26] H. Xue, C. Liu, F. Wan, J. Jiao, Q. Ye, "DANet: Divergent Activation for Weakly Supervised Object Localization," IEEE ICCV 2019. [pdf] [source-code]
[27] F. Wan, C. Liu, X. Ji, J. Jiao, Q. Ye, "CMIL: Continuation Multiple Instance Learning for Weakly Supervised object Detection," IEEE CVPR, 2019 (Oral). [pdf][source-code][Caffe+ResNet]
[28] Y. Zhu, Y. Zhou, H. Xu, Q. Ye, D. Doeramann, J. Jiao, "Learning Instance Activation Maps for Weakly Supervised Instance Segmentation," IEEE CVPR, 2019 [pdf].
[29] C. Miao, X. Xie, F. Wang, C. Su, J. Jiao, Q. Ye, "SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images," IEEE CVPR, 2019 [pdf][dataset&code]
[30] F. Wan, P. Wei, Z. Han, J. Jiao, Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,” IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), 41(10): 2395-2409 (2019). [IEEE PAMI PDF][Arxiv PDF][Code][pytorch-code]
[31] F. Wan, P. Wei, Z. Han, J. Jiao, Q. Ye, “Min-entropy Latent Model for Weakly Supervised object Detection,” IEEE CVPR, 2018: 1297-1306. [pdf]-[source code]-[bibtex]
[32] Y. Zhou, Y. Zhu, Q. Ye, Q. Qiu, J. Jiao, “Weakly Supervised Instance Segmentation using Class Peak Response,” IEEE CVPR, 2018 (Spotlight). [pdf]-[source code]-[bibtex]
[33] W. Deng, L. Zheng, Q. Ye, J. Jiao, “Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,” IEEE CVPR, 2018. [pdf]-[source code]-[bibtex]
[34] Q. Ye, T. Zhang, Q. Qiu, B. Zhang, J. Chen, and G. Sapiro, "Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model," IEEE CVPR, 2017. [pdf]-[source code]-[bibtex]
[35] Y. Zhu, Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Soft Proposal Network for Weakly Supervised Object Localization," IEEE ICCV, 2017. [pdf]-[source code]-[bibtex]
Feature Learning
[35] X. Zheng, R. Ji, Y. Chen, Q. Wang, B. Zhang, Q. Ye, J. Chen, F. Huang, Y. Tian, MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search, IEEE Trans. Pattern Anal. Mach. Intell. (T-PAMI), DOI: 10.1109/TPAMI.2021.3050494. [pdf][source-code].
[37] M. Lin, L. Cao, S. Li, Q. Ye, Y. Tian, J. Liu, Q. Tian, R. Ji, "Filter Sketch for Network Pruning," IEEE Trans. Neural Networks Learn. Syst. (TNNLS) , 2021.
[38] Y. Ding, Z. Han, Y. Zhou, Y. Zhu, J. Chen, Q. Ye, J. Jiao, Dynamic Perception Framework for Fine-grained Recognition, IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) , To be published.
[39] Y. Li, S. Lin , J. Liu, Q. Ye, M. Wang, F. Yang, J. Ma, Q. Tian, R. Ji, "Towards Compact CNNs via Collaborative Compression," IEEE CVPR 2021.
[40] X. Zheng, R. Ji, Q. Wang, Q. Ye, Q. Tian, "Rethinking Performance Estimation in Neural Architecture Search," IEEE CVPR, 2020 [pdf][source-code].
[41] X. Dong, H. Liu, L. Cao, R. Ji, Q. Ye, Q. Tian, J. Liu, "API-Net: Robust Generative Classifier via a Single Discriminator," ECCV 2020 (To Appear).
[42] Y. Zhai, Q. Ye, S. Lu, M. Jia, R. Ji, Y. Tian，"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification," ECCV 2020 (To Appear).
[43] P. Wei, Z. Xie, H. Lu, Z. Zhan, Q. Ye, W. Zuo, L. Lin, "Component Divide-and-Conquer for Real-World Image Super-Resolution," ECCV 2020 (To Appear).
[44] L. Zhuo, H. Chen, B. Zhang, Q. Ye, etc., "Cogradient Descent for Bilinear Optimization," IEEE CVPR 2020. [pdf][source_code]
[45] J. Hu, R. Ji, S. Zhang, X. Sun, Q. Ye, "Information Competing Process for Learning Diversified Representations," NeurIPS 2019. [pdf]
[46] Y. Ding, Y. Zhou, Y. Zhu, Q. Ye, J. Jiao, "Selective Sparse Sampling for Fine-grained Image Recognition," IEEE ICCV, 2019. [pdf][source-code]
[47] C. Liu, F. Wang, Y. Yao, X. Zhang, Q. Ye, "Orthorgnal Decomposition Network For Pixel-wise Binary Classification," IEEE CVPR, 2019. [pdf]
[48] S. Lin, R. Ji, C. Yan, B. Zhang, L. Cao, Q. Ye, F. Huang, D. Doermann, "Towards Optimal Structured CNN Pruning via Generative Adversarial Learning," IEEE CVPR, 2019. [pdf].
[49] L. Zhuo, B. Zhang, C. Chen, Q. Ye, J. Liu, D. Doermann, Calibrated Stochastic Gradient Descent for Convolutional Neural Networks, AAAI 2019.
[50] Z. Li, Z. Han, J. Xing, Q. Ye, X. Yu, J. Jiao, "High performance person re-identification via a boosting ranking ensemble," Pattern Recognition, 94 (10), pp.187-195, 2019.
[51] C. Liu, W. Ke, F. Qin, Q. Ye, "Linear Span Network for Object Skeleton Detection," ECCV, 2018. [pdf]-[source code]-[bibtex]
[52] W. Ke, J. Chen, J. Jiao, and Q. Ye, "SRN: Side-output Residual Network for Object Symmetry Detection in the Wild," IEEE CVPR. (Oral). [pdf]-[source code]-[bibtex]
[53] Y. Zhou, Q. Ye, Q. Qiu, and J. Jiao, "Oriented Response Networks," IEEE CVPR, 2017. [pdf]-[source code]-[bibtex]
Object Detection (older)6
[54] S. Gao, Q. Ye, K. Arjan, L. Liu, X. Ji, A Graphical Social Topology Model for RGB-D Multi-Person Tracking, IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) 10.1109/TCSVT.2021.3049397, 2020. [pdf]
[55] Y. Cai, W. Wang, Y. Chen, Q. Ye, "IOS-Net: An Inside-to-outside Supervision Network for Scale Robust Text Detection in the wild," Pattern Recognition, 2020 [pdf].
[56] F. Liang, L. Duan, W. Ma, Y. Qiao, J. Miao, Q. Ye, Context-aware Network for RGB-D Salient Object Detection, Pattern Recognition, 2020( (To Appear).
[57] F. Liang, L. Duan, W. Ma, Y. Qiao, Z. Cai, J. Miao, Q. Ye, "CoCNN: RGB-D Deep Fusion for Stereoscopic Salient Object Detection," Patter Recognition. 104: 107329 (2020). [pdf].
[58] X. Yu, Y. Gong, N. Jiang, Q. Ye, Z. Han,"Scale-match for Tiny Person Detection," WACV, 2020 [pdf].
[59] T. Zhang, Z. Han, H. Xu, B. Zhang, Q. Ye, "CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection," IEEE Trans. Intell. Transp. Syst. (T-ITS), 2019 [pdf].
[60] C. Li, B. Zhang, Q. Ye, "Deep Manifold Structure Transfer for Action Recognition," IEEE Trans. Image Process. (TIP) 28(9): 4646-4658 (2019). [pdf]
[61] X. Liu, C. Li, H. Wang, X. Zhen, B. Zhang, Q. Ye, "Starts Better and Ends Better: A Target Adaptive Image Signature Tracker," WACV, 2019.
[62] Q. Ye, T. Zhang "Progressive Latent Model for Self-learning Scene-specific Pedestrian Detectors," IEEE Trans. Intell. Transp. Syst. (T-ITS), 10.1109/TITS.2019.2911315, 2020.[pdf].
[63] Z. Han, P. Wang, Q. Ye, "Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking," IEEE Trans. Circuits Syst. Video Technol. (T-CSVT) 30(1): 155-166 (2020). [pdf]
[64] P. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao and Q. Ye, "Correlated Topic Vector for Scene Classification", IEEE Trans. Image Process. (TIP), 26(7):3221-3234 (2017). [pdf]-[bibtex]
[65] S. Gao, Q. Ye, J. Xing, A. kuijper, Z. Han, J. Jiao, X. Ji, "Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation," IEEE Trans. Image Process. (TIP), 26(12):5575-5589 (2017). [pdf]-[bibtex]
[66] 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," IEEE Trans. Systems, Man, and Cybernetics, 47(4):693-703 (2017). [pdf]-[bibtex]
[67] Q. Ye, D. S. Doermann, "Text Detection and Recognition in Imagery: A Survey," IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), 37(3):1480-1500 (2015). [pdf]-[bibtex]
[68] 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 Trans. Intell. Transp. Syst. (T-ITS), 16(5): 2814-2825 (2015). [pdf]-[bibtex]
[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 Trans. Instru. and Measure. (TIM), 6(4):742-752 (2014). [pdf]-[bibtex]
[70] Q. Ye, Z. Han, J. Jiao, J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines," IEEE Trans. Image Process. (TIP), 22(2):778-789 (2013). [pdf]- [source code]-[bibtex]
[71] Q. Ye, J. Liang, J. Jiao, "Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses," IEEE Trans. Intell. Transp. Syst. (T-ITS), 13(1): 193-202 (2012). [pdf]-[bibtex]
[72] R. Xu, J. Jiao, B. Zhang, Q. Ye, "Pedestrian Detection in Images via Cascaded L1-norm Minimization Learning Method," Pattern Recognition, 45(7):2573-2583 (2012). [pdf]-[bibtex]
[73] Z. Han, J. Jiao, Q. Ye, J. Liu, "Visual Object Tracking Via Sample-Based Adaptive Sparse Representation, " Pattern Recognition, 44(9): 2170-2183 (2011). [pdf]-[bibtex]
[74] 叶齐祥，焦建彬，蒋树强，基于多尺度方向特征的快速鲁棒人体检测算法，软件学报，2011,22(12):3004-3014. [pdf]
[75] R. Xu, B. Zhang, Q. Ye, J. Jiao, "Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection," IEEE CVPR, 2010. [pdf]-[bibtex].
[76] J. Jiao, Q. Ye, Q. Huang, "A Configurable Method for Multi-style License Plate Recognition," Pattern Recognition, 32(3):358--369, 2009. [pdf]-[bibtex]
[77] Q. Ye, Q. Huang, W. Gao, S. Jiang, "Exciting event detection in broadcast soccer video with mid-level description and incremental learning," ACM Multimedia pp.455-458, 2005. [pdf]
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