陈佳鑫 - 北京航空航天大学

个人简介

陈佳鑫，男，博士。先后于2009年、2012年和2017年获北航应用数学专业学士学位、数学专业硕士学位及计算机应用技术专业博士学位。2017至2018年间在纽约大学阿布扎比分校从事博士后研究工作。2018至2021年在起源人工智能研究院担任研究科学家，现为北京航空航天大学计算机学院副教授/硕士生导师。目前主要研究方向包括计算机视觉（智能视频分析、图像检索、三维视觉）、模式识别、机器学习等。作为核心成员参与多项国家自然科学基金项目、港澳台合作项目等。相关研究成果已发表论文23篇，包括IEEE Transactions on Image Processing (TIP)、IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)等顶级期刊；CVPR、ICCV、ECCV等计算机视觉领域顶级会议。协助指导博士生、硕士生多人。担任研究生学位课《机器学习》主讲教师。教育经历 2012.9-2017.3 北京航空航天大学大学计算机科学与技术工学博士学位博士研究生毕业 2009.9-2012.1 北京航空航天大学数学理学硕士学位硕士研究生毕业 2005.9-2009.6 北京航空航天大学应用数学理学学士学位大学本科毕业工作经历 2021.3-至今北京航空航天大学计算机学院副教授 2018.9 - 2021.2 Inception Institute of Artificial Intelligence (IIAI) Research Scientist 2017.7 - 2018.8 New York University Abu Dhabi (NYUAD) Postdoctoral Fellow 社会兼职北京市科学技术委员会、中关村科技园区管理委员会科技项目评审专家中国计算机学会(CCF)人工智能与模式识别执行委员；多媒体技术/计算机视觉专业委员会委员中国图象图形学会/中国人工智能学会会员

研究领域

图像/视频内容分析与理解深度模型压缩三维视觉机器学习无人系统视觉感知

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Conference MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection L. Jiang, J. Chen*(*：Corresponding Author), D. Huang, and Yunhong Wang ACM Multimedia Conference (MM), 2023. [PDF] DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration N. Zhou, J. Chen, and D. Huang IEEE International Conference on Computer Vision (ICCV), 2023. [PDF] Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images B. Du, Y. Huang, J. Chen, and D. Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF] OcTr: Octree-based Transformer for 3D Object Detection C. Zhou, Y. Zhang, J. Chen, and D. Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF] Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement B. Li, J. Chen*(*：Corresponding Author), D. Zhang, X. Bao and D. Huang International Joint Conference on Artificial Intelligence (IJCAI), 2022. [PDF] CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection Y. Zhang, J. Chen and D. Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF] Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection J. Wu, J. Chen*(*：Corresponding Author), M. He, Y. Wang, B. Li, B. Ma, W. Gan, W. Wu, Y. Wang and D. Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF] Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint J. Wu, J. Chen and D. Huang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF] UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery Y. Huang, J. Chen and D. Huang AAAI Conference on Artificial Intelligencen (AAAI), 2022. [PDF] PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation G. Zhou, H. Wang, J. Chen and D. Huang IEEE International Conference on Computer Vision (ICCV), 2021. [PDF] Auto-Encoding Twin-Bottleneck Hashing Y. Shen#, J. Qin#, J. Chen# (#: Equal Contribution), M. Yu, L. Liu, F. Zhu, F. Shen and L. Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF] Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai and L. Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF] Deep Local Binary Coding for Person Re- Identification by Delving into the Details J. Chen, J. Qin, Y. Yan, L. Huang, L. Liu, F. Zhu and L. Shao ACM Multimedia (MM), 2020. [PDF] Learning Attentive and Hierarchical Representations for 3D Shape Recognition J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu and L. Shao European Conference on Computer Vision (ECCV), 2020. [PDF] Web-Supervised Network for Fine- Grained Visual Classification C.Zhang, Y.Yao, J.Zhang, J.Chen, P.Huang, J.Zhang and Z.Tango IEEE International Conference on Multimedia and Expo (ICME), 2020. [PDF] Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing J. Chen, J. Qin, L. Liu, F. Zhu, F. Shen, J. Xie and L. Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF] Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval J.Chen and Y. Fang European Conference on Computer Vision (ECCV), 2018. [PDF] Fast Person Re-identification via Cross-Camera Semantic Binary Transformation Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu and Ling Shao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF] Journal Video Person Re-identification Using Attribute-enhanced Features T. Chai, Z. Chen, A. Li, J. Chen, X. Mei, Y. Wang IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, doi:10.1109/TCSVT.2022.3189027. [PDF] SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild J. Qin, S. Yuan, J. Chen, et al. Computers & Graphics (CAG), vol. 107, pp: 104-115, 2022. [PDF] Learning Multi-Attention Context Graph for Group-Based Re-Identification Y. Yan, J. Qin, B. Ni, J. Chen, L. Liu, F. Zhu, W. Zheng, X. Yang and L. Shao. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020, doi: 10.1109/TPAMI.2020.3032542. [PDF] Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning R. Gao, X. Hou, J. Qin, J. Chen, L. Liu, F. Zhu, Z. Zhang and L. Shao. IEEE Transactions on Image Processing (TIP), vol. 29, pp: 3665-3680, 2020. [PDF] GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints Z. Zhang, J. Chen* (*: Corresponding Author), Q. Wu and L. Shao. IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 10, pp: 2935-2947, 2018. [PDF] Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities J. Chen, Z. Zhang and Y. Wang. IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp: 4741-4755, 2015. [PDF]