Xiaojiang Peng

Associate Professor, College of Big Data and Internet, Shenzhen Technology University.

 

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广东省深圳市坪山区兰田路3002号 pengxiaojiang@sztu.edu.cn / xiaojiangp@gmail.com

    Full list in Google Scholar

    [Representive Publications]

  1. Suppressing Mislabeled Data via Grouping and Self-Attention. ECCV, 2020. [PDF] [CODE]
    Xiaojiang Peng*, Kai Wang*, Zhaoyang Zeng*, Qing Li, Jianfei Yang, Yu Qiao.
  2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CVPR, 2020. [PDF] [CODE]
    Kai Wang*,Xiaojiang Peng*, Jianfei Yang, Shijian LV, Yu Qiao.
  3. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. IEEE Transactions on Image Processing, 2020. [PDF] [CODE]
    Kai Wang*,Xiaojiang Peng*, Jianfei Yang, Debin Meng, Yu Qiao.
  4. Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. IEEE Transactions on Image Processing, 2019. [PDF]
    Zhongying Deng*,Xiaojiang Peng*, Yu Qiao.
  5. DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. ICCV, 2019. [PDF] [CODE]
    Xiaoxing Zeng*,Xiaojiang Peng*, Yu Qiao.
  6. Residual Compensation Networks for Heterogeneous Face Recognition. AAAI, 2019. [PDF] [CODE]
    Zhongying Deng*,Xiaojiang Peng*, Yu Qiao.
  7. Frankenstein: Learning Deep Face Representations using Small Data. IEEE Transactions on Image Processing, 2018. [PDF]
    Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek.
  8. Multi-region two-stream R-CNN for action detection. ECCV, 2016. [PDF] [CODE]
    Xiaojiang Peng, Cordelia Schmid.
  9. Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice. Computer Vision and Image Understanding (CVIU), 2016. [PDF]
    Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao.
  10. Action Recognition with Stacked Fisher Vectors. ECCV, 2014. [PDF]
    Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng.

    [2022]

  1. Video Frame Interpolation Based on Deformable Kernel Region. IJCAI, 2022. [PDF]
    Haoyue Tian, Pan Gao,Xiaojiang Peng
  2. AU-Guided Unsupervised Domain-Adaptive Facial Expression Recognition. Applied Sciences. 2022, 12(9), 4366. [PDF]
    Xiaojiang Peng, Yuxin Gu, Panpan Zhang
  3. An Efficient Training Approach for Very Large Scale Face Recognition. CVPR, 2022. [PDF]
    Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Hao Li, Yang You
  4. Unsupervised person re-identification with multi-label learning guided self-paced clustering. Pattern Recognition, 2022. (IF: 7.74) [PDF]
    Qing Li, Xiaojiang Peng, Yu Qiao, Hao Qi
  5. [2021]

  6. A Comprehensive Study on Temporal Modeling for Online Action Detection. Complex and Intelligent System, 2021. (IF: 4.927) [PDF]
    Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng
  7. Sequential Interactive Biased Network for Context-Aware Emotion Recognition. IJCB, 2021. [PDF]
    XinPeng Li, Xiaojiang Peng, Changxing Ding
  8. Detecting Human-Object Interaction via Fabricated Compositional Learning. CVPR, 2021. [PDF]
    Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
  9. Affordance Transfer Learning for Human-Object Interaction Exploration. CVPR, 2021. [PDF]
    Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
  10. TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation. Neurocomputing, 2021. [PDF]
    Wen Wang, Xiaojiang Peng, Yanzhou Su, Yu Qiao, Jian Cheng
  11. [2020]

  12. Learning Category Correlations for Multi-label Image Recognition with Graph Networks. Pattern Recognition Letter, 2020. [BibTeX][PDF]
    Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng.
  13. BibTeX:
    @article{li2020learning,
      title={Learning label correlations for multi-label image recognition with graph networks},
      author={Li, Qing and Peng, Xiaojiang and Qiao, Yu and Peng, Qiang},
      journal={Pattern Recognition Letters},
      volume={138},
      pages={378--384},
      year={2020},
      publisher={Elsevier}
    }
    
  14. Finding Hard Faces with better Proposals and Classifier. Machine Vision Applications, 2020. [BibTeX][PDF]
    Xiaoxing Zeng*, Xiaojiang Peng*,Yali Wang, Yu Qiao.
  15. BibTeX:
    @article{zeng2020finding,
      title={Finding hard faces with better proposals and classifier},
      author={Zeng, Xiaoxing and Peng, Xiaojiang and Wang, Yali and Qiao, Yu},
      journal={Machine Vision and Applications},
      volume={31},
      number={7},
      pages={1--15},
      year={2020},
      publisher={Springer}
    }
    
  16. Product Image Recognition with Guidance Learning and Noisy Supervision. Computer Vision and Image Understanding (CVIU), 2020. [BibTeX][PDF]
    Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao..
  17. BibTeX:
    @article{li2020product,
      title={Product image recognition with guidance learning and noisy supervision},
      author={Li, Qing and Peng, Xiaojiang and Cao, Liangliang and Du, Wenbin and Xing, Hao and Qiao, Yu and Peng, Qiang},
      journal={Computer Vision and Image Understanding},
      pages={102963},
      year={2020},
      publisher={Elsevier}
    }
    
  18. Cascade Multi-Head Attention Networks for Action Recognition. Computer Vision and Image Understanding (CVIU), 2020. [BibTeX][PDF]
    Jiaze Wang*, Xiaojiang Peng*, Yu Qiao.
  19. BibTeX:
    @article{wang2020cascade,
      title={Cascade multi-head attention networks for action recognition},
      author={Wang, Jiaze and Peng, Xiaojiang and Qiao, Yu},
      journal={Computer Vision and Image Understanding},
      volume={192},
      pages={102898},
      year={2020},
      publisher={Elsevier}
    }
    
  20. Suppressing Mislabeled Data via Grouping and Self-Attention. ECCV, 2020. [PDF] [CODE]
    Xiaojiang Peng*, Kai Wang*, Zhaoyang Zeng*, Qing Li, Jianfei Yang, Yu Qiao.
  21. Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition. ECCV, 2020. [PDF]
    Jin Ye*, Junjun He*, Xiaojiang Peng*, Wenhao Wu, Yu Qiao.
  22. Visual Compositional Learning for Human Object Interaction Detection. ECCV, 2020. [PDF] [CODE]
    Zhi Hou, Xiaojiang Peng*, Yu Qiao, Dacheng Tao.
  23. Suppressing Uncertainties for Large-Scale Facial Expression Recognition. CVPR, 2020. [PDF] [CODE]
    Kai Wang*,Xiaojiang Peng*, Jianfei Yang, Shijian LV, Yu Qiao.
  24. Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition. IEEE Transactions on Image Processing, 2020. [PDF] [CODE]
    Kai Wang*,Xiaojiang Peng*, Jianfei Yang, Debin Meng, Yu Qiao.
  25. Learning Discriminative Representation for Facial Expression Recognition from Uncertainties. ICIP, 2020. [PDF]
    Xingyu Fan, Zhongying Deng, Kai Wang, Xiaojiang Peng, Yu Qiao.
  26. Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild. CVPRW, 2020. [BibTeX][PDF]
    Sijie Ji, Kai Wang, Xiaojiang Peng, Jianfei Yang, Zhaoyang Zeng, Yu Qiao.
  27. BibTeX:
    @INPROCEEDINGS{9150797,
      author={S. {Ji} and K. {Wang} and X. {Peng} and J. {Yang} and Z. {Zeng} and Y. {Qiao}},
      booktitle={CVPRW}, 
      title={Multiple Transfer Learning and Multi-label Balanced Training Strategies for Facial AU Detection In the Wild}, 
      year={2020},
      volume={},
      number={},
      pages={1657-1661},
      doi={10.1109/CVPRW50498.2020.00215}}
    

    [2019]

  28. Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition. International Conference on Multimodal Interaction (ICMI’19) [PDF]
    Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao
  29. Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. International Conference on Multimodal Interaction (ICMI’19) [PDF]
    Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
  30. Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. International Conference on Multimodal Interaction (ICMI’19) [PDF]
    Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao
  31. Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition. IEEE Transactions on Image Processing, 2019. [PDF]
    Zhongying Deng*,Xiaojiang Peng*, Yu Qiao.
  32. DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction. ICCV, 2019. [PDF] [CODE]
    Xiaoxing Zeng*,Xiaojiang Peng*, Yu Qiao.
  33. Residual Compensation Networks for Heterogeneous Face Recognition. AAAI, 2019. [PDF] [CODE]
    Zhongying Deng*,Xiaojiang Peng*, Yu Qiao.
  34. AnoPCN: Video Anomaly Detection via Deep Predictive Coding Network. ACM MultiMedia, 2019. [PDF]
    Muchao Ye, Xiaojiang Peng*, Weihao Gan, Wei Wu, Yu Qiao.
  35. Frame Attention Networks for Facial Expression Recognition in Videos. ICIP, 2019. [PDF] [CODE]
    Debin Meng, Xiaojiang Peng*, Kai Wang, Yu Qiao.
  36. Visual-Textual Sentiment Analysis in Product Reviews. ICIP, 2019. [PDF]
    Jin Ye, Xiaojiang Peng*, Yu Qiao, Hao Xing, Junli Li, Rongrong Ji.
  37. Face Detection, Alignment Alignment, Quality Assessmentand Attribute Analysis with Multi-Task Hybrid Convolutional Neural Networks. ZTE COMMUNICATIONS, 2019. [PDF]
    Da GUO, Qingfang ZHENG, Xiaojiang Peng, Ming LIU.
  38. Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking. IEEE Access, 2019. [PDF]
    Longtao Chen, Xiaojiang Peng, Mingwu Ren.
  39. [2018 and before]

  40. Deep Recurrent Multi-instance Learning with Spatio-temporal Features for Engagement Intensity Prediction. International Conference on Multimodal Interaction (ICMI’18) [PDF]
    Jianfei Yang, Kai Wang, Xiaojiang Peng, Yu Qiao
  41. Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues. International Conference on Multimodal Interaction (ICMI’18) [PDF]
    Kai Wang, Xiaoxing Zeng, Jianfei Yang, Debin Meng, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
  42. Frankenstein: Learning Deep Face Representations using Small Data. IEEE Transactions on Image Processing, 2018. [PDF]
    Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek.
  43. Multi-region two-stream R-CNN for action detection. ECCV, 2016. [PDF] [CODE]
    Xiaojiang Peng, Cordelia Schmid.
  44. Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice. Computer Vision and Image Understanding (CVIU), 2016. [PDF] [CODE]
    Xiaojiang Peng, Limin Wang, Xingxing Wang, Yu Qiao.
  45. Action Recognition with Stacked Fisher Vectors. ECCV, 2014. [PDF]
    Xiaojiang Peng, Changqing Zou, Yu Qiao, Qiang Peng.
  46. Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics. ECCV, 2014. [PDF]
    Xiaojiang Peng, Limin Wang, Yu Qiao, Qiang Peng.
  47. Multi-View Super Vector for Action Recognition. CVPR, 2014. [PDF]
    Zuowei Cai, Limin Wang, Xiaojiang Peng, Yu Qiao.