秦杰，南京航空航天大学计算机科学与技术学院/人工智能学院/软件学院，教授，博士生导师，国家级青年人才，中国科协海智特聘专家。现任国家自然科学基金委交叉科学部二处流动项目主任。

2011年本科和2017年博士均毕业于北京航空航天大学，师从王蕴红教授（IEEE/IAPR/CCF/CAAI Fellow）；2014年-2015年在英国谢菲尔德大学联合培养，师从Ling Shao教授（IEEE/IAPR Fellow）；2017年-2018年在瑞士苏黎世联邦理工学院（ETH Zurich）从事博士后研究工作，师从计算机视觉领域国际最高奖项“马尔奖”、“PAMI杰出研究员奖”获得者Luc Van Gool教授；2018年-2021年在阿联酋起源人工智能研究院（IIAI）担任计算机视觉研究员。

主要从事人工智能、计算机视觉、机器学习和多媒体等领域的基础理论与关键技术研究，重点关注面向真实环境的“以人为中心”的智能视觉感知，取得了相关理论与技术的突破与创新。目前已在国际权威期刊和会议上发表论文80余篇，其中CCF A类国际顶级期刊论文10篇（包括4篇IEEE-TPAMI、2篇IJCV、3篇IEEE-TIP等）、CCF A类国际顶级会议论文35篇（包括14篇CVPR等）、计算机视觉国际顶级会议ECCV论文9篇，Google Scholar引用3700余次，H指数35。获得ACM MM 2023（CCF推荐A类，多媒体顶会）最佳论文提名奖（3/3072, Top 1‰）。担任CCF A类期刊IJCV客座编委、CCF B类期刊Neural Networks副主编、CCF A类会议AAAI/IJCAI/ACM MM领域主席/高级程序委员、计算机视觉顶级会议ECCV研讨会主席、IJCB领域主席、PRCV资深领域主席等，受邀担任TPAMI、TIP、CVPR、ICCV、NeurIPS、ICML等顶级期刊和会议审稿人。主持国家自然科学基金面上项目、江苏省自然科学基金青年项目、中央高校基本科研业务费等国家级/省部级课题。工信部海外人才项目评审专家。

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- 将军路校区招聘启事：http://rsc.nuaa.edu.cn/2021/0206/c381a231327/page.htm

- 天目湖校区招聘启事（事业编制）：http://rsc.nuaa.edu.cn/2022/0314/c381a277419/page.htm

代表性成果如下：（所有成果详见英文主页）

- 期刊论文：

[9] 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), 2023. (CCF推荐A类, 中科院一区, TOP)

[8] 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. (人工智能排名第一, CCF推荐A类, 中科院一区, TOP)

[7] 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. (人工智能排名第一, CCF推荐A类, 中科院一区, TOP)

[6] P. Zheng (学生一作), 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. (人工智能排名第一, CCF推荐A类, 中科院一区, TOP)

[5] 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. (人工智能排名第一, CCF推荐A类, 中科院一区, TOP)

[4] 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. (CCF推荐A类, 中科院一区, TOP)

[3] 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. (CCF推荐A类, 中科院一区, TOP)

[2] 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. (CCF推荐A类, 中科院一区, TOP)

[1] 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. (CCF推荐A类, 中科院一区, TOP)

- 会议论文：

[21] S. Zheng (本科生一作), 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. (CCF推荐A类，计算机视觉顶会) [新闻报道1] [新闻报道2] [新闻报道3]

[20] Q. Liu (学生一作), 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. (CCF推荐A类，计算机视觉顶会)

[19] J. Shi (学生一作), 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. (CCF推荐A类，人工智能顶会)

[18] Y. Feng (本科生一作), 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. (最佳论文提名奖(3/3072, Top 1‰)，CCF推荐A类，多媒体顶会) [新闻报道1] [新闻报道2] [新闻报道3]

[17] S. Xia (学生一作), 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. (CCF推荐A类，多媒体顶会)

[16] P. Zheng (学生一作), 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. (CCF推荐A类，人工智能顶会)

[15] L. Geng (学生一作), N. Liu and J. Qin*, "Multi-classifier Adversarial Optimization for Active Learning", in AAAI Conference on Artificial Intelligence (AAAI), Washington, USA, 2023. (CCF推荐A类，人工智能顶会)

[14] Z. Hu (学生一作), 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. (CCF推荐B类)

[13] 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. (CCF推荐B类)

[12] 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. (CCF推荐A类，计算机视觉顶会)

[11] G. Wang, Y. Wang, J. Qin, D. Zhang, X. Bao and Di Huang, "Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection", in International Conference on Computer Vision (ICCV), Paris, France, 2023. (CCF推荐A类，计算机视觉顶会)

[10] 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. (CCF推荐A类，人工智能顶会)

[9] 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. (CCF推荐A类，人工智能顶会)

[8] 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. (CCF推荐A类，机器学习顶会)

[7] 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. (CCF推荐A类，计算机视觉顶会)

[6] 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. (CCF推荐A类，多媒体顶会)

[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. (CCF推荐A类，计算机视觉顶会)

[4] 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. (CCF推荐A类，计算机视觉顶会)

[3] 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. (CCF推荐A类，多媒体顶会)

[2] 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. (CCF推荐A类，计算机视觉顶会)

[1] 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. (CCF推荐A类，计算机视觉顶会)

主要研究方向：

- 图像/视频分析：图像/视频检索，二值表示学习，目标检测，行人重识别，动作检测，动作识别，群体行为识别，体育视频分析等

- 弱监督学习：无/自监督学习，小样本学习，零样本学习等

- 多媒体分析：跨模态检索，多模态融合等

- 三维形状分析：三维形状识别、检索等

博士/硕士招生说明：

- 欢迎有一定数学基础、编程能力优异，有志从事科研、勇于挑战、有责任心的同学报考！读研和读博期间表现优秀者，将额外提供科研补贴并优先考虑海内外学术交流。

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