Journal Articles:
Y. Yuan, P. Gao, Q. Dai, J. Qin* and W. Xiang, "Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection", IEEE Transactions on Image Processing (TIP), vol. 34, pp. 2301-2314, Apr. 2025.
Y. Yan, J. Li, J. Qin*, P. Zheng, S. Liao and X. Yang, "Efficient Person Search: An Anchor-Free Approach", International Journal of Computer Vision (IJCV), vol. 131, pp. 1642-1661, Mar. 2023.
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), vol. 45, no. 6, pp. 7001-7018, Jun. 2023. [A New Large-Scale Dataset for Group Re-ID]
L. Huang, J. Qin, Y. Zhou, F. Zhu, L. Liu and L. Shao, "Normalization Techniques in Training DNNs: Methodology, Analysis and Application", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
P. Zheng, H. Fu, D.-P. Fan, Q. Fan, J. Qin, Y.-W. Tai, C.-K. Tang and L. V. Gool, "GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
J. Li, G. Wang, Y. Yan, F. Yu, Q. Jia, J. Qin, S. Ding and X. Yang, "GPS: Generalizable Person Search on Large-scale User-Generated Video Content", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Jan. 2025.
Y. Yan, J. Li, S. Liao and J. Qin, "TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification", Machine Intelligence Research (MIR), vol. 22, no. 2, Apr. 2025.
Y. Jia, R. Quan, H. Chen, J. Liu, Y. Yan, S. Bai and J. Qin*, "Disaggregation Distillation for Person Search", IEEE Transactions on Multimedia (TMM), 2024.
W. Zhou, L. Kong, Y. Han, J. Qin* and Z. Sun, "Contextualized Relation Predictive Model for Self-Supervised Group Activity Representation Learning", IEEE Transactions on Multimedia (TMM), vol. 26, pp. 353-366, Apr. 2023.
G. Chen, J. Qin*, B. B. Amor, W. Zhou, H. Dai, T. Zhou, H. Huang and L. Shao, "Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces", IEEE Transactions on Medical Imaging (TMI), 2023.
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), vol. 44, no. 9, pp. 4524-4543, Sept. 2022.
J. Qin, et al., "SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild", Computers & Graphics (C&G), vol. 107, pp. 104-115, Oct. 2022.
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), vol. 25, pp. 1649-1664, 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.
Z. Li, Z. Zhang, J. Qin, Z. Zhang and L. Shao, "Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 3, pp. 786-800, Mar. 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.
Y. Zhang, Z. Zhang, S. Li, J. Qin, G. Liu, M. Wang and S. Yan, "Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation", IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 31, no. 12, pp. 2423-2440, Dec. 2019.
Z. Li, Z. Zhang, J. Qin, S. Li and H. Cai, "Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality", Neural Networks (NEUNET), vol. 119, pp. 93-112, Nov. 2019.
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.
Z. Zhang, F. Li, L. Jia, J. Qin, L. Zhang and S. Yan, "Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 29, no. 8, pp. 3388-3403, Aug. 2018.
Y. Zhang, Z. Zhang, J. Qin, L. Zhang, B. Li and F. Li, "Semi-Supervised Local Multi-Manifold Isomap by Linear Embedding for Feature Extraction", Pattern Recognition (PR), vol. 76, pp. 662-678, Apr. 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:
Y. Jia, R. Quan, Y. Feng, H. Chen and J. Qin*, "Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search", in AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, USA, 2025.
P. Zhou, D. Cai, Y. Du, R. Zhang, B. Ni, J. Qin* and L. Qian, "Edit3D: Elevating 3D Scene Editing with Attention-Driven Multi-Turn Interactivity", in ACM International Conference on Multimedia (ACM MM), Melbourne, Australia, 2024.
J. Shi, P. Gao, X. Peng and J. Qin, "DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment", in European Conference on Computer Vision (ECCV), Milano, Italy, 2024.
J. Chen, R. Quan and J. Qin*, "Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation", in International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 2024.
Y. Yuan, W. Liu, P. Gao, Q. Dai and J. Qin*, "Unified Unsupervised Salient Object Detection via Knowledge Transfer", in International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 2024.
Q. He, R. Quan, W. Yang and J. Qin*, "Visual Feature Disentanglement for Zero-Shot Learning", in IEEE International Conference on Multimedia and Expo (ICME), Niagra Falls, Canada, 2024. [Best Paper Candidate]
L. Su, R. Quan, Z. Qi, and J. Qin*, "MACA: Memory-aided Coarse-to-fine Alignment for Text-based Person Search", in ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Washington D.C., USA, 2024.
Q. Liu, C. Zhuang, P. Gao and J. Qin*, "CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
S. Zheng, P. Gao, P. Zhou and J. Qin*, "Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
J. Shi, P. Gao and J. Qin*, "Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning", in AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, 2024.
T. Ying, R. Quan, P. Zheng, Y. Yan and J. Qin*, "MTA-PS: Towards Practical Person Search in Videos", in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.
D. Lu, J. Chen, H. Chen, Z. Peng, R. Quan and J. Qin, "Camouflaged Object Detection via Style Transfer-based Data Augmentation", in IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2024.
L. Yang, H. Chen, D. Lu, and J. Qin, "ECLNet: A Compact Encoder-Decoder Network for Efficient Camouflaged Object Detection", in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Urumqi, China, 2024.
Y. Feng, Z. Zhang, R. Quan, L. Wang and J. Qin*, "RefineTAD: Learning Proposal-free Refinement for Temporal Action Detection", in ACM International Conference on Multimedia (ACM MM), Ottawa, Canada, 2023. [Oral, Honorable Mention Award – Top 1‰]
S. Xia, L. Geng, N. Liu, H. Sun and J. Qin*, "Lifelong Scene Text Recognizer via Expert Modules", in ACM International Conference on Multimedia (ACM MM), Ottawa, Canada, 2023.
P. Gao, H. Tian and J. Qin*, "Video Frame Interpolation with Flow Transformer", in ACM International Conference on Multimedia (ACM MM), Ottawa, Canada, 2023.
G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao and D. Huang, "Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection", in International Conference on Computer Vision (ICCV), Paris, France, 2023.
Z. Huang, H. Dai, T.-Z. Xiang, S. Wang, H.-X. Chen, J. Qin and H. Xiong, "Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
P. Zheng, J. Qin*, S. Wang, T.-Z. Xiang and H. Xiong, "Memory-aided Contrastive Consensus Learning for Co-salient Object Detection", in AAAI Conference on Artificial Intelligence (AAAI), Washington, USA, 2023.
L. Geng, N. Liu and J. Qin*, "Multi-classifier Adversarial Optimization for Active Learning", in AAAI Conference on Artificial Intelligence (AAAI), Washington, USA, 2023.
J. Qin, P. Zheng, Y. Yan, R. Quan, X. Cheng and B. Ni, "Movienet-PS: A Large-Scale Person Search Dataset in the Wild", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023.
Z. Hu, Y. Wang, P. Li, J. Qin*, H. Xie and M. Wei, "ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023.
J. Ni, N. Zhou, J. Qin*, Q. Wu, J. Liu, B. Li and D. Huang, "Motion Sensitive Contrastive Learning for Self-supervised Video Representation", in European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao and D. Huang, "Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles", in European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022.
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. Yan, J. Li, S. Liao, J. Qin, B. Ni, K. Lu and X. Yang, "Exploring Visual Context for Weakly Supervised Person Search", 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.
Z. Zhang, Z. Tang, Z. Zhang, Y. Wang, J. Qin and M. Wang, "Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition", in European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2020.
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. Zhang, W. Jiang, Z. Zhang, S. Li, G. Liu and J. Qin, "Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning", in International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 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]
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. Xu, C. Guo, Q. Liu, J. Qin, Y. Wang and L. Liu, "DHA: Supervised Deep Learning to Hash with an Adaptive Loss Function", in International Conference on Computer Vision Workshops (ICCVW), Seoul, Korea, 2019.
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.
D. Wan, F. Shen, L. Liu, F. Zhu, J. Qin, L. Shao and H. T. Shen, "TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights", 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]
Z. Zhang, W. Jiang, S. Li, J. Qin, G. Liu and S. Yan, "Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding", in International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
L. Wang, Z. Zhang, G. Liu, Q. Ye, J. Qin and M. Wang, "Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation", in International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
Z. Tang, Z. Zhang, X. Ma, J. Qin and M. Zhao, "Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification", in Pacific-Rim Conference on Multimedia (PCM), Hefei, China, 2018. [Oral]
L. Wang, Z. Zhang, S. Li, G. Liu, C. Hou and J. Qin, "Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation", in Pacific Rim International Conference on Artificial Intelligence (PRICAI), Nanjing, China, 2018.
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.
W. Jiang, Z. Zhang, J. Qin, M. Zhao, F. Li and S. Yan, "Robust Projective Dictionary Learning by Joint Label Embedding and Classification", in IEEE International Conference on Data Mining Workshops (ICDMW), New Orleans, USA, 2017.
Z. Dong, J. Qin* and Y. Wang, "Multi-Stream Deep Networks for Person to Person Violence Detection in Videos", in Chinese Conference on Pattern Recognition (CCPR), Chengdu, China, 2016. [Oral – Acceptance Rate: 12.5%]
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%]
Z. Zhang, J. Qin, Y. Wang and M. Liang, "Object Classification in Traffic Scene Surveillance Based on Online Semi-supervised Active Learning", in International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014.
X. Sun, D. Huang, Y. Wang and J. Qin, "Action Recognition Based on Kinematic Representation of Video Data", in International Conference on Image Processing (ICIP), Paris, France, 2014.
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.
Z. Zhang, Y. Hou, Y. Wang and J. Qin, "A Traffic Flow Detection System Combining Optical Flow and Shadow Removal", in Chinese Conference on Intelligent Visual Surveillance (IVS), Beijing, China, 2011.