[1] Q. Qi, T. Hou, Y. Lu, Y. Yan, and H. Wang. DGRNet: A Dual-Level Graph Relation Network for Video Object Detection. IEEE Transactions on Image Processing (TIP), 2023, 32: 4128-4141. (CCF A 类期刊、SCI/JCR 一区 Top 期刊，Impact Factor: 10.6)
[2] Q. Qi, Y. Yan, and H. Wang. Class-Aware Dual-Supervised Aggregation Network for Video Object Detection. IEEE Transactions on Multimedia (TMM), 2024, 26: 2109-2123. (SCI/JCR 一区 Top 期刊，Impact Factor: 7.3)
[3] Q. Qi, X. Wang, T. Hou, Y. Yan, and H. Wang. FastVOD-Net: A Real-Time and High- Accuracy Video Object Detector. IEEE Transactions on Intelligent Transportation Systems (TITS), 2022, 23(11): 20926-20942. (SCI/JCR 一区 Top 期刊，Impact Factor: 8.5)
[4] Q. Qi, T. Hou, Y. Yan, Y. Lu, and H. Wang. TCNet: A Novel Triple-Cooperative Network for Video Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023, 33(8): 3649-3662. (SCI/JCR 一区 Top 期刊， Impact Factor: 8.4)
[5] Q. Qi, M. Jian, Y. Yin, J. Dong, W. Zhang, and H. Yu. Saliency Detection Using Texture and Local Cues. CCF Chinese Conference on Computer Vision (CCCV), 2017: 689-699.
[6] Q. Qi, M. Jian, Y. Yin, J. Dong, W. Zhang, and H. Yu. Saliency Detection via Combining Global Shape and Local Cue Estimation. International Conference on Intelligent Science and Big Data Engineering (IScIDE), 2017: 325-334.
[7]M. Jian, Q. Qi, H. Yu, J. Dong, C. Cui, X. Nie, H. Zhang, Y. Yin, and K. Lam. The Extended Marine Underwater Environment Database and Baseline Evaluations. Applied Soft Computing (ASOC), 2019, 80: 425-437. (SCI/JCR一区Top期刊，Impact Factor: 8.7)
[8]T. Hou, Q. Qi, Y. Lu, K. Du, and H. Wang. Dual Selection Network for Video Object Detection. IEEE International Conference on Multimedia and Expo (ICME), 2022, DOI: 10.1109/ICME52920.2022.9859947. (CCF B 类会议，Oral)
[9] Jian M, Qi Q, Dong J, et al. The OUC-Vision Large-Scale Underwater Image Database. IEEE International Conference on Multimedia and Expo (ICME), 2017: 1297-1302. (CCF B 类会议)
[10] Z. Qiu, Q. Qi, Y. Lu, Y. Yan, and H. Wang. Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024. (CCF B类会议)
[11]Jian M, Qi Q, Dong J, et al. Saliency Detection Using Quaternionic Distance Based Weber Local Descriptor and Level Priors. Multimedia tools and applications, 2018, 77: 14343-14360.
[12] Jian M, Qi Q, Dong J, et al. Integrating QDWD With Pattern Distinctness and Local Contrast for Underwater Saliency Detection. Journal of Visual Communication and Image Representation, 2018, 53: 31-41.
[13] Z. Qiu, Q. Qi, Y. Yan, and H. Wang. DF-Net: Diversity-Focused Network for Video Object Detection. International Conference on Image Processing (ICIP), 2023, DOI: 10.1109/ICIP49359.2023.10223065. (CCF C 类会议)
[14] H. Ye, Q. Qi, Y. Wang, Y. Lu, and H. Wang. Global and Local Feature Alignment for Video Object Detection. ACM International Conference on Multimedia in Asia (MMAsia), 2021, DOI: 10.1145/3444685.3446263. (CCF C 类会议)
[15] Jian M, Qi Q, Dong J, et al. Saliency Detection Using Quatemionic Distance Based Weber Descriptor and Object Cues. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). 2016: 1-4.
[16] X. Wang, F. Gao, J. Dong, and Q. Qi. Change Detection for Synthetic Aperture Radar Images Based on Pattern and Intensity Distinctiveness Analysis. International Conference on Graphic and Image Processing (ICGIP), 2018, 10615: 1209-1215.
