Selected Publications

Google Scholar

Journal Articles:

  • Y. Yan, J. Qin, B. Ni, J. Chen, L. Liu, F. Zhu, W.-S. Zheng, X. Yang and L. Shao, "Learning Multi-Attention Context Graph for Group-Based Re-Identification", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Oct. 2020. [A New Large-Scale Dataset for Group Re-ID]
  • H. Xiong, M. Yu, L. Liu, F. Zhu, J. Qin, F. Shen and L. Shao, "A Generalized Method for Binary Optimization: Convergence Analysis and Applications", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Apr. 2021.
  • R. Gao, X. Hou, J. Qin, Y. Shen, Y. Long, L. Liu, Z. Zhang and L. Shao, "Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning", IEEE Transactions on Multimedia (TMM), Jan. 2022.
  • M. Qi, J. Qin, Y. Yang, Y. Wang and J. Luo, "Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval", IEEE Transactions on Image Processing (TIP), vol. 30, pp. 2989-3004, Feb. 2021.
  • Y. Huang, X. Hou, Y. Dun, J. Qin, L. Liu, X. Qian and L. Shao, "Learning Deformable and Attentive Network for Image Restoration", Knowledge-Based Systems (KBS), vol. 231, Nov. 2021.
  • L. Liu, M. Pietikäinen, J. Qin, W. Ouyang and L. Van Gool, "Efficient Visual Recognition", International Journal of Computer Vision (IJCV), vol. 128, pp. 1997-2001, Sept. 2020.
  • R. Gao, X. Hou, J. Qin, J. Chen, L. Liu, F. Zhu, Z. Zhang and L. Shao, "Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning", IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3665-3680, Jan. 2020.
  • M. Qi, Y. Wang, J. Qin, A. Li, J. Luo and L. Van Gool, "stagNet: An Attentive Semantic RNN for Group Activity and Individual Action Recognition", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 2, pp. 549-565, Feb. 2020.
  • L. Kong, D. Huang, J. Qin and Y. Wang, "A Joint Framework for Athlete Tracking and Action Recognition in Sports Videos", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 2, pp. 532-548, Feb. 2020.
  • L. Huang, X. Liu, J. Qin, F. Zhu, L. Liu and L. Shao, "Projection Based Weight Normalization: Efficient Method for Optimization on Oblique Manifold in DNNs", Pattern Recognition (PR), vol. 105, Sept. 2020.
  • Z. Zhang, W. Jiang, J. Qin, L. Zhang, F. Li, M. Zhang and S. Yan, "Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 8, pp. 3798-3814, Aug. 2018.
  • J. Qin, L. Liu, M. Yu, Y. Wang and L. Shao, "Fast Action Retrieval from Videos via Feature Disaggregation", Computer Vision and Image Understanding (CVIU), vol. 156, pp. 104-116, Mar. 2017.
  • J. Qin, Y. Wang, L. Liu, J. Chen and L. Shao, "Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition", IEEE Signal Processing Letters (SPL), vol. 23, no. 11, pp. 1667-1671, Nov. 2016.
  • J. Qin, L. Liu, Z. Zhang, Y. Wang and L. Shao, "Compressive Sequential Learning for Action Similarity Labeling", IEEE Transactions on Image Processing (TIP), vol. 25, no. 2, pp. 756-769, Feb. 2016.


Conference Papers:

  • J. Wang, J. Qin, Y. Wang and A. Li, "PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation", in International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI-ECAI), Vienna, Austria, 2022.
  • Z. Yang, J. Qin and D. Huang, "ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization", in AAAI Conference on Artificial Intelligence (AAAI), Online, 2022.
  • Y. Shen, Z. Shen, M. Wang, J. Qin, P. Torr and L. Shao, "You Never Cluster Alone", in Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2021.
  • B. Wang, C. Chen, Z. Cui, J. Qin, C. X. Lu, Z. Yu, P. Zhao, Z. Dong, F. Zhu, N. Trigoni and A. Markham, "P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching", in International Conference on Computer Vision (ICCV), Online, 2021.
  • J. Ni, J. Qin and D. Huang, "Identity-aware Graph Memory Network for Action Detection", in ACM International Conference on Multimedia (ACM MM), Chengdu, China, 2021.
  • M. Qi, J. Qin, D. Huang, Z. Shen, Y. Yang and J. Luo, "Latent Memory-augmented Graph Transformer for Visual Storytelling", in ACM International Conference on Multimedia (ACM MM), Chengdu, China, 2021.
    [Oral – Acceptance Rate: 9%]
  • Y. Yan, J. Li, J. Qin, S. Bai, S. Liao, L. Liu, F. Zhu and L. Shao, "Anchor-Free Person Search", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021. [Code]
  • Z. Shen, Z. Liu, J. Qin, L. Huang, K.-T. Cheng and M. Savvides, "S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021.
  • Z. Shen, Z. Liu, J. Qin, M. Savvides and K.-T. Cheng, "Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning", in AAAI Conference on Artificial Intelligence (AAAI), Online, 2021.
  • Z. Yang, D. Huang, J. Qin and Y. Wang, "Human-Aware Coarse-to-Fine Online Action Detection", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Online, 2021.
  • M. Qi, J. Qin, X. Zhen, D. Huang, Y. Yang and J. Luo, "Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks", in ACM International Conference on Multimedia (ACM MM), Seattle, USA, 2020.
  • J. Chen, J. Qin, Y. Yan, L. Huang, L. Liu, F. Zhu and L. Shao, "Deep Local Binary Coding for Person Re-Identification by Delving into the Details", in ACM International Conference on Multimedia (ACM MM), Seattle, USA, 2020.
  • Y. Shen, J. Qin, L. Huang, L. Liu, F. Zhu and L. Shao, "Invertible Zero-Shot Recognition Flows", in European Conference on Computer Vision (ECCV), Online, 2020.
  • J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu and L. Shao, "Learning Attentive and Hierarchical Representations for 3D Shape Recognition", in European Conference on Computer Vision (ECCV), Online, 2020.
  • L. Huang, J. Qin, L. Liu, F. Zhu and L. Shao, "Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs", in European Conference on Computer Vision (ECCV), Online, 2020.
    [Oral – Acceptance Rate: 2%]
  • G.-S. Xie, L. Liu, F. Zhu, F. Zhao, Z. Zhang, Y. Yao, J. Qin and L. Shao, "Region Graph Embedding Network for Zero-Shot Learning", in European Conference on Computer Vision (ECCV), Online, 2020.
    [Spotlight – Acceptance Rate: 5%]
  • Y. Shen, J. Qin, J. Chen, M. Yu, L. Liu, F. Zhu, F. Shen and L. Shao, "Auto-Encoding Twin-Bottleneck Hashing", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020. [Code]
  • Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai and L. Shao, "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020.
  • M. Qi, J. Qin, Y. Wu and Y. Yang, "Imitative Non-Autoregressive Modeling for Sequence Prediction and Imputation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2020.
  • Y. Shen, J. Qin, J. Chen, L. Liu, F. Zhu and Z. Shen, "Embarrassingly Simple Binary Representation Learning", in International Conference on Computer Vision Workshops (ICCVW), Seoul, Korea, 2019. [Oral] [Code]
  • J. Chen, J. Qin, L. Liu, F. Zhu, F. Shen, J. Xie and L. Shao, "Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
  • M. Qi, Y. Wang, J. Qin and A. Li, "KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
  • G.-S. Xie, L. Liu, X. Jin, F. Zhu, Z. Zhang, J. Qin, Y. Yao and L. Shao, "Attentive Region Embedding Network for Zero-shot Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019.
  • Z. Liu, J. Qin, A. Li, Y. Wang and L. Van Gool, "Adversarial Binary Coding for Efficient Person Re-identification", in IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019. [Oral] [Code]
  • Z. Zhang, L. Liu, J. Qin, F. Zhu, F. Shen, Y. Xu, L. Shao and H. T. Shen, "Highly-Economized Multi-View Binary Compression for Scalable Image Clustering", in European Conference on Computer Vision (ECCV), Munich, Germany, 2018. [Oral – Acceptance Rate: 2.4%]
  • M. Qi, J. Qin, A. Li, Y. Wang, J. Luo and L. Van Gool, "stagNet: An Attentive Semantic RNN for Group Activity Recognition", in European Conference on Computer Vision (ECCV), Munich, Germany, 2018.
  • R. Gao, X. Hou, J. Qin, L. Liu, F. Zhu and Z. Zhang, "A Joint Generative Model for Zero-Shot Learning", in European Conference on Computer Vision Workshops (ECCVW), Munich, Germany, 2018.
  • L. Kong, J. Qin, D. Huang, Y. Wang and L. Van Gool, "Hierarchical Attention and Context Modeling for Group Activity Recognition", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, Canada, 2018. [Oral]
  • J. Qin, L. Liu, L. Shao, B. Ni, C. Chen, F. Shen and Y. Wang, "Binary Coding for Partial Action Analysis with Limited Observation Ratios", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, USA, 2017.
  • J. Qin, L. Liu, L. Shao, F. Shen, B. Ni, J. Chen and Y. Wang, "Zero-Shot Action Recognition with Error-Correcting Output Codes", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, USA, 2017.
  • J. Chen, Y. Wang, J. Qin, L. Liu and L. Shao, "Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, USA, 2017.
  • J. Qin, L. Liu, M. Yu, Y. Wang and L. Shao, "Fast Action Retrieval from Videos via Feature Disaggregation", in British Machine Vision Conference (BMVC), Swansea, UK, 2015. [Oral – Acceptance Rate: 7%]
  • J. Qin, Z. Zhang and Y. Wang, "Cross-View Action Recognition via Transductive Transfer Learning", in International Conference on Image Processing (ICIP), Melbourne, Australia, 2013.
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