樊佳庆,讲师,苏州大学优秀青年学者。2023年6月毕业于南京航空航天大学计算机科学与技术专业,获工学博士学位,2023年7月入职苏州大学计算机科学与技术学院。研究兴趣为视频目标跟踪与分割、深度学习方法与计算机视觉。在本领域主流会议或期刊上发表多篇论文,包括:ACM MM(2篇)、TCSVT(3篇)、FCS、CJE、TIP、TNNLS、计算机学报、自动化学报等,并授权多项发明专利。曾为多个会议或期刊审稿,包括CVPR、ACM MM、TIP、TNNLS、PR、EL、Signal Processing、Neurocomputing、自动化学报等。获奖情况:硕士期间获得南京信息工程大学硕士研究生国家奖学金,博士期间获得南京航空航天大学博士研究生“特别奖学金”,获得2023年苏州市人工智能科学技术奖自然科学奖一等奖(排名第一),获2024年南京航空航天大学校优秀博士学位论文。
研究兴趣为视频目标跟踪与分割、深度学习方法与计算机视觉。
1. Jiaqing Fan, Tiankang Su, Kaihua Zhang, Bo Liu, and Qingshan Liu. Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation. In Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2023. (CCF A会议)
2. Jiaqing Fan, Tiankang Su, Kaihua Zhang, and Qingshan Liu. Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022, pp. 3646–3655. (CCF A会议)
3.Jiaqing Fan, Bo Liu, Kaihua Zhang, and Qingshan Liu. Semi-supervised Video Object Segmentation via Learning Object-aware Global-local Correspondence. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, Volume: 32, Issue: 12, Pages: 8153-8164. (中科院一区Top期刊)
4. Jiaqing Fan, Huihui Song, Kaihua Zhang, Kang Yang, and Qingshan Liu. Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, Volume: 31, Issue: 4, Pages: 1296-1307. (中科院一区Top期刊)
5.Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu et al. Real-time Manifold Regularized Context-aware Correlation Tracking. Frontiers of Computer Science, 2020, 14, Pages: 334–348. (CCF B期刊)
6. FAN Jiaqing, ZHANG Kaihua, ZHAO Yaqian, LIU Qingshan. Unsupervised Video Object Segmentation via Weak User Interaction and Temporal Modulation. Chinese Journal of Electronics, vol. 32, no. 3, pp. 507-518, 2023. (国产SCI期刊)
7. 樊佳庆, 苏天康, 张开华, 刘青山. 基于并行多方向注意力的无监督视频目标分割. 计算机学报, 2022, 45(11): 2337-2347. (中文CCF A期刊)
8. Kaihua Zhang, Jiaqing Fan, Qingshan Liu, and Jian Yang. Parallel Attentive Correlation Tracking. IEEE Transactions on Image Processing(TIP),2019,Volume:28,Issue:1,Pages:479-491.(中科院一区Top期刊)
9. Qingshan Liu, Jiaqing Fan, Huihui Song, Wei Chen, and Kaihua Zhang. Visual Tracking via Nonlocal Similarity Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018, Volume: 28, Issue: 10, Pages: 2826-2835.(中科院一区Top期刊)
樊佳庆,讲师,苏州大学优秀青年学者。2023年6月毕业于南京航空航天大学计算机科学与技术专业,获工学博士学位,2023年7月入职苏州大学计算机科学与技术学院。研究兴趣为视频目标跟踪与分割、深度学习方法与计算机视觉。在本领域主流会议或期刊上发表多篇论文,包括:ACM MM(2篇)、TCSVT(3篇)、FCS、CJE、TIP、TNNLS、计算机学报、自动化学报等,并授权多项发明专利。曾为多个会议或期刊审稿,包括CVPR、ACM MM、TIP、TNNLS、PR、EL、Signal Processing、Neurocomputing、自动化学报等。获奖情况:硕士期间获得南京信息工程大学硕士研究生国家奖学金,博士期间获得南京航空航天大学博士研究生“特别奖学金”,获得2023年苏州市人工智能科学技术奖自然科学奖一等奖(排名第一),获2024年南京航空航天大学校优秀博士学位论文。
研究兴趣为视频目标跟踪与分割、深度学习方法与计算机视觉。
1. Jiaqing Fan, Tiankang Su, Kaihua Zhang, Bo Liu, and Qingshan Liu. Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation. In Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2023. (CCF A会议)
2. Jiaqing Fan, Tiankang Su, Kaihua Zhang, and Qingshan Liu. Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation. In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022, pp. 3646–3655. (CCF A会议)
3.Jiaqing Fan, Bo Liu, Kaihua Zhang, and Qingshan Liu. Semi-supervised Video Object Segmentation via Learning Object-aware Global-local Correspondence. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, Volume: 32, Issue: 12, Pages: 8153-8164. (中科院一区Top期刊)
4. Jiaqing Fan, Huihui Song, Kaihua Zhang, Kang Yang, and Qingshan Liu. Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, Volume: 31, Issue: 4, Pages: 1296-1307. (中科院一区Top期刊)
5.Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu et al. Real-time Manifold Regularized Context-aware Correlation Tracking. Frontiers of Computer Science, 2020, 14, Pages: 334–348. (CCF B期刊)
6. FAN Jiaqing, ZHANG Kaihua, ZHAO Yaqian, LIU Qingshan. Unsupervised Video Object Segmentation via Weak User Interaction and Temporal Modulation. Chinese Journal of Electronics, vol. 32, no. 3, pp. 507-518, 2023. (国产SCI期刊)
7. 樊佳庆, 苏天康, 张开华, 刘青山. 基于并行多方向注意力的无监督视频目标分割. 计算机学报, 2022, 45(11): 2337-2347. (中文CCF A期刊)
8. Kaihua Zhang, Jiaqing Fan, Qingshan Liu, and Jian Yang. Parallel Attentive Correlation Tracking. IEEE Transactions on Image Processing(TIP),2019,Volume:28,Issue:1,Pages:479-491.(中科院一区Top期刊)
9. Qingshan Liu, Jiaqing Fan, Huihui Song, Wei Chen, and Kaihua Zhang. Visual Tracking via Nonlocal Similarity Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018, Volume: 28, Issue: 10, Pages: 2826-2835.(中科院一区Top期刊)