Embedded Files
Short Bio
Short Bio
I am currently a Professor and Director of the Multimedia and Visual Perception Laboratory (MVP Lab) at the College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. Before that, I was a Research Scientist with the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE, and a Postdoctoral Researcher working with Prof. Luc Van Gool at the Computer Vision Laboratory (CVL), ETH Zurich, Zurich, Switzerland. I obtained my Ph.D. degree from Beihang University (BUAA), Beijing, China, under the supervision of Prof. Yunhong Wang. During my Ph.D., I visited The University of Sheffield, Sheffield, UK, as a Visiting Researcher, working with Prof. Ling Shao.
Email: qinjiebuaa[AT]gmail[DOT]com or jie[DOT]qin[AT]nuaa[DOT]edu[DOT]cn
News
News
11/07/2025 Three papers are accepted to ECAI 2025.
26/06/2025 One paper is accepted to ICCV 2025.
25/03/2025 One paper is accepted to IEEE TIP.
06/01/2025 One paper is accepted to IEEE TCSVT.
10/12/2024 One paper is accepted to AAAI 2025.
16/07/2024 One paper is accepted to ACM MM 2024.
11/07/2024 Our ICME 2024 paper is selected as Best Paper Candidate!
03/07/2024 One paper is accepted to IEEE TMM.
01/07/2024 One paper is accepted to ECCV 2024.
17/04/2024 Two papers are accepted to IJCAI 2024.
26/03/2024 One paper is accepted to SIGIR 2024.
27/02/2024 Two papers are accepted to CVPR 2024.
09/12/2023 One paper is accepted to AAAI 2024.
01/11/2023 Our paper has won the Honorable Mention Award (Top 1‰) of ACM MM 2023!
26/07/2023 Three papers are accepted to ACM MM 2023 (1 Oral & 2 Posters).
14/07/2023 One paper is accepted to ICCV 2023.
26/03/2023 One paper is accepted to IEEE TPAMI.
24/03/2023 One paper is accepted to IEEE TMM.
20/03/2023 One paper is accepted to IEEE TMI.
28/02/2023 One paper is accepted to CVPR 2023.
16/02/2023 One paper is accepted to IJCV. Two papers are accepted to ICASSP 2023.
14/02/2023 One paper is accepted to IEEE TPAMI.
19/11/2022 Two papers are accepted to AAAI 2023.
12/07/2022 Our SHREC 2022 track paper has been accepted to Computers & Graphics.
04/07/2022 Two papers are accepted to ECCV 2022.
15/06/2022 Call For Papers: Sensors (IF: 3.576) Special Issue on Person Re-identification Based on Computer Vision. (DDL: 15 Feb. 2023)
31/05/2022 Call For Papers: Sensors (IF: 3.576) Special Issue on Advances in Sensor-Based Biometric Recognition. (DDL: 15 Dec. 2022)
21/04/2022 One paper is accepted to IJCAI 2022.
16/01/2022 One paper is accepted to IEEE TMM.
01/01/2022 We are organizing the SHREC 2022 Track: Sketch-Based 3D Shape Retrieval in the Wild. Looking forward to your participation!
01/12/2021 Two papers are accepted to AAAI 2022.
29/09/2021 One paper is accepted to NeurIPS 2021.
23/07/2021 One paper is accepted to ICCV 2021.
07/07/2021 Two papers (1 Oral & 1 Poster) are accepted to ACM MM 2021.
26/03/2021 One paper is accepted to IEEE TPAMI.
01/03/2021 Two papers are accepted to CVPR 2021.
30/01/2021 One paper is accepted to ICASSP 2021.
13/12/2020 One paper is accepted to IEEE TIP.
02/12/2020 One paper is accepted to AAAI 2021.
15/10/2020 One paper is accepted to IEEE TPAMI.
06/08/2020 Two papers are accepted to ACM MM 2020.
14/07/2020 Our IJCV Special Issue is now online. Congratulations to all the accepted papers!
03/07/2020 Four papers (1 Oral, 1 Spotlight & 2 Posters) are accepted to ECCV 2020.
24/02/2020 Three papers are accepted to CVPR 2020.
18/12/2019 One paper is accepted to IEEE TIP.
10/03/2019 One paper is accepted to ICME 2019 as an oral presentation.
03/03/2019 Three papers are accepted to CVPR 2019. Two papers are accepted to IEEE TCSVT.
05/07/2018 Three papers (1 Oral & 2 Posters) are accepted to ECCV 2018. See you in Munich!
19/05/2018 Call For Papers: International Journal of Computer Vision (IJCV) Special Issue on Efficient Visual Recognition.
30/03/2018 We are organizing the 2nd International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL 2018) in conjunction with ECCV 2018.
30/01/2018 One paper is accepted to ICASSP 2018 as an oral presentation.
Education
Education
09/2011 - 03/2017 Ph.D., School of Computer Science and Engineering, Beihang University, China (Thesis: Research on Video-Based Human Action Recognition)
09/2014 - 09/2015 Visiting Researcher, Department of Electronic and Electrical Engineering, The University of Sheffield, UK
09/2007 - 07/2011 B.Eng., School of Computer Science and Engineering, Beihang University, China
Research Interests
Research Interests
Computer Vision, Machine Learning, Pattern Recognition, Image/Video Processing
In particular: Human Activity Analysis, Person Re-Identification, Content-Based Image/Video Retrieval, Few/Zero-Shot Learning, 3D Vision
(*=corresponding author; *=equal contribution)
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.
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:
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.
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.
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. 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.
Professional Activities
Professional Activities
Guest Editor:
International Journal of Computer Vision (IJCV) Special Issue on Efficient Visual Recognition.
Associate Editor:
Neural Networks.
Organizing Committee Chair:
Chinese Conference on Biometric Recognition (CCBR), 2024.
Program Chair:
International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), in conjunction with ECCV, Munich, Germany, 2018.
Senior Area Chair (SAC):
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.
Area Chair (AC) / Senior Program Committee (SPC):
Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.
ACM International Conference on Multimedia (ACM MM), 2023-2025.
AAAI Conference on Artificial Intelligence (AAAI), 2022-2026.
International Joint Conference on Artificial Intelligence (IJCAI), 2020-2023.
European Conference on Artificial Intelligence (ECAI), 2024-2025.
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024-2025.
International Joint Conference on Biometrics (IJCB), 2022.
International Conference on Image and Graphics (ICIG), 2025.
Program Committee Member:
Conferences:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018-2024.
IEEE International Conference on Computer Vision (ICCV), 2019-2023.
Annual Conference on Neural Information Processing Systems (NeurIPS), 2020-2023.
International Conference on Learning Representations (ICLR), 2022.
International Conference on Machine Learning (ICML), 2021, 2025.
AAAI Conference on Artificial Intelligence (AAAI), 2019-2021.
ACM International Conference on Multimedia (ACM MM), 2019-2022.
European Conference on Computer Vision (ECCV), 2020-2022.
European Conference on Artificial Intelligence (ECAI), 2020.
IEEE International Conference on Multimedia and Expo (ICME), 2020.
British Machine Vision Conference (BMVC), 2019.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
Asian Conference on Computer Vision (ACCV), 2018.
International Conference on Pattern Recognition (ICPR), 2020.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019-2020.
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2018.
Workshops:
International Joint Workshop on Efficient Deep Learning in Computer Vision (EDLCV), in conjunction with CVPR, Seattle, USA, 2020.
International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI), in conjunction with CVPR, Long Beach, USA, 2019.
International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), in conjunction with ICCV, Seoul, Korea, 2019.
International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision (CEFRL), in conjunction with CVPR, Long Beach, USA, 2019.
International Workshop on Representation, Analysis and Recognition of Shape and Motion FroM Imaging Data (RFMI), Hammamet, Tunisia, 2019.
International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI), in conjunction with IEEE FG, Xi’an, China, 2018.
IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), in conjunction with ICCV, Venice, Italy, 2017.
International Workshop on Benchmark and Evaluation of Surveillance Task (BEST), in conjunction with ACCV, Taipei, Taiwan, 2016.
Reviewer:
Journals:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Cybernetics (TCYB)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Computer Vision and Image Understanding (CVIU)
Pattern Recognition (PR)
Pattern Recognition Letters (PRL)
Neurocomputing
The Visual Computer
IET Image Processing
......
Principal Investigator(PI) / Key Participant:
Innosuisse Innovation Project, National Basic Research Program of China, National Natural Science Foundation of China, Beijing Natural Science Foundation, Fundamental Research Funds for the Central Universities, etc.
Social Activities
Social Activities
06/2009 - 06/2010 Minister of Department of Science and Practice in the Student Union, Beihang University
02/2008 - 02/2009 Deputy Minister of Department of Student Life in the Student Union, Beihang University
Honors & Awards
Honors & Awards
2024 Best Paper Candidate of ICME 2024
2023 Honorable Mention Award of ACM MM 2023
2021 Outstanding Reviewer of CVPR 2021
2018 Outstanding Reviewer of Pattern Recognition
2018 Excellent Doctoral Dissertation Award of Beihang University
2018 Outstanding Research Papers Award of Graduate Student
2017 Outstanding Research Papers Award of Graduate Student
2017 Outstanding Graduates of Beijing
2014 China Scholarship Council (CSC) Scholarship
2013 “GUANGHUA” Scholarship
2012 Qualcomm Innovation Fellowship Finalists
2012 Scholarship for Outstanding Graduate Students
2011 “Challenge Cup” National Undergraduate Curricular Academic Science & Technology Works, Third Prize
2010 “FengRu Cup” Innovation Competition of Beihang University, Third Prize
2010 Scholarship for Outstanding Undergraduate Students
2008 Scholarship for Excellent Freshmen, Second Prize
Personal
Personal
Fluent in English. Passed CET-6 and Public English Test System 5 (PETS-5)
Skilled in Python, Java, C, C++ programming languages, MySQL database, MATLAB, LaTeX, etc.
Google Sites
Report abuse