刘乾坤，北京科技大学计算机与通信工程学院特聘副教授。长期从事视觉内容生成、场景感知相关研究工作，具体为2D图像生成与编辑，2D场景目标检测与跟踪，3D数据重建与生成。作为负责人承担了国家自然科学基金青年科学基金项目1项，作为主要参与人参与了国家自然科学基金重点项目、国家重点研发计划项目课题、军科委基础加强计划项目课题等项目及课题若干项。近年来在国际重要期刊及会议上发表SCI/EI论文20余篇，其中以第一发表中科院一区期刊论文/CCF A类会议论文5篇（如TPAMI，TIP，CVPR，IJCAI等），以第一发明人授权国家发明专利1项。担任TPAMI，TIP，TMM，CVPR，ICCV，ECCV等多个国际期刊/会议审稿人，获 Gigavision Challenges 2022 ｜ Gigavisioin Star奖（指导教师2/2），第十九届“挑战杯”2024年度“揭榜挂帅”专项奖特等奖（指导教师2/3）等奖励。

 [1] Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen, Ying Fu, Qi Chu, Gang Hua, Nenghai Yu. Transformer based Pluralistic Image Completion with Reduced Information Loss[J]//IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 10, pp. 6652-6668, 2024. (IEEE TPAMI, 中科院一区Top，计算机视觉顶级期刊)

[2] Qiankun Liu, Yichen Li, Yuqi Jiang, Ying Fu. Siamese-DETR for Generic Multi-Object Tracking[J]// IEEE Transactions on Image Processing, vol. 33, pp. 3935-3949, 2024. (IEEE TIP, 中科院一区Top)

[3] Qiankun Liu, Rui Liu, Bolun Zheng, Hongkui Wang, Ying Fu. Infrared Small Target Detection with Scale and Location Sensitivity[C]//IEEE Conference on Computer Vision and Pattern Recognition, pp. 17490-17499, 2024. (CVPR, CCF-A)

[4] Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu. Reduce Information Loss in Transformers for Pluralistic Image Inpainting[C]//IEEE Conference on Computer Vision and Pattern Recognition, pp. 11347-11357, 2022. (CVPR, CCF-A)

[5] Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu. GSM: Graph Similarity Model for Multi-object Tracking[C]//International Joint Conference on Artificial Intelligence, pp. 530-536, 2020. (IJCAI, CCF-A)

[6] Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu. Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation[J]// Neurocomputing, pp. 483:333-347, 2022. (Neurocomputing, 中科院二区Top)

[7] Yunyi Gao, Lin Gu, Qiankun Liu, Ying Fu. Object-Aware NIR-to-Visible Translation. European Conference on Computer Vision, pp. 93-109, 2024. (ECCV)

[8] Yuqi Jiang, Qiankun Liu, Dongdong Chen, Lu Yuan, Ying Fu. AnimeDiff: Customized Image Generation of Anime Characters using Diffusion Model[J]//IEEE Transactions on Multimedia, vol. 26, pp. 10559-10572, 2024. （IEEE TMM, 中科院一区Top） 

[9] Xinzhe Wang, Kang Ma, Qiankun Liu, Yunhao Zou, Ying Fu. Multi-Object Tracking in the Dark[C]//IEEE Conference on Computer Vision and Pattern Recognition, pp. 382-392, 2024. (CVPR, CCF-A)

[10] Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu. Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal[J]//IEEE Transactions on Image Processing, 2024. (IEEE TIP, 中科院一区Top)

[11] Ying Fu, Yang Hong, Yunhao Zou, Qiankun Liu*, Yiming Zhang, Ning Liu, Chenggang Yan. Raw Image Based Over-Exposure Correction Using Channel-Guidance Strategy[J]//IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2749-2762, 2023. (IEEE TCSVT, 中科院一区，通讯作者)

 纵向项目：

国家自然科学基金青年科学基金项目（C类）, 面向降质数据的端到端多目标跟踪技术研究, 2025.01-2027.12

 第十九届“挑战杯”2024年度“揭榜挂帅”专项奖特等奖（指导教师2/3）