鲁鹏，副教授，博士生导师，2003年7月获得华中科技大学图像识别与人工智能研究所硕士学位，2006年7月获得中国科学院自动化研究所博士学位，2008年至2010年在北京大学人机交互与多媒体实验室从事博士后研究工作，2010年起受聘于北京邮电大学。长期专注于计算机视觉与人机交互领域的理论研究与应用，主持多个国家级和省部级科研项目，包括国防重点项目、国家自然科学基金青年基金、博士后基金等，在CVPR、AAAI、ACM MM、ICASSP、ICME、TMM、PR、Neurocomputing、Signal Processing 等国内外重要会议和期刊上发表论文超过60篇，申请专利10余项。出版《计算机视觉基础》和《三维重建基础》两部教材，带领本科生团队四次获得“全国大学生智能设计竞赛”一等奖，并获得“北京邮电大学第十一届教学观摩评比”二等奖和“第四届北京邮电大学教师教学创新大赛”二等奖，荣获校友奖教金。主讲的《计算机视觉》课程被评为北邮本科课程思政示范课程，并获得“课程思政教学名师”称号，制作的计算机视觉系列课程视频在B站的播放量已超过150万，参与学习的人员超过2.5万。

近五年代表性论文(*=通信作者）

• Longzhao Huang, Wenhao Xu, Changwei Wang, Rongtao Xu, Peng Lu, Shibiao Xu. MVPS: Multi-View Adaptive Prompt Synergy for Zero-shot Anomaly Detection, IEEE International Conference on Multimedia&Expo, 2025.
  

• Zhaoran_Zhao, Peng Lu*，Anran Zhang, Pei Pei Li, Xia Li, Xuannan Liu, Yang Hu, Shiyi Chen, liweiwang, Wenhao Guo, Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding,  IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR),  Nashville TN, USA, 2025-06. （Highlight）

• Zhaoran Zhao, Peng Lu*, Xujun Peng, Wenhao Guo. Self-supervised Photographic Image Layout Representation Learning.  IEEE Transactions on Multimedia （TMM）, 2025. (ACCEPTED).

• Wenhao Guo,  Peng Lu*,  Xujun Peng,  Zhaoran Zhao, Learnable adaptive bilateral filter for improved generalization in Single Image Super-Resolution, Pattern Recognition (PR）, Volume 162, 2025.

• Xin Ma, Jiguang Zhang, Peng Lu*, Shibiao Xu, Chengwei Pan, Novel View Synthesis under Large-Deviation Viewpoint for Autonomous Driving, Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, Pennsylvania, USA, 2025-03.

• Wenhao Guo, Peng Lu*, Xujun Peng, Zhaoran Zhao, Ji Qiu, XiangTao Dong, BCSCN: Reducing Domain Gap through Bézier Curve basis-based Sparse Coding Network for Single-Image Super-Resolution, ACM International Conference on Multimedia (ACM MM), pp.4881 - 4889, Melbourne, Australia, 2024-10.

• Ji Qiu, Peng Lu*, Xujun Peng, Wenhao Guo, Zhaoran Zhao, XiangTao Dong, Learning Realistic Sketching: A Dual-agent Reinforcement Learning Approach, ACM International Conference on Multimedia (ACM MM), pp. 5921 - 5929, Melbourne, Australia, 2024-10.

• Xiangtao Dong, Xin Ma, Chengwei Pan, Peng Lu*. A review of neural radiance fields for outdoor large scenes, Journal of Graphics,  Volume 4: 631-649, 2024. 

• Wang Yin, Peng Lu*,  Xujun Peng, Zhaoran Zhao, Jinbei Yu. Hierarchical Color Fusion Network (HCFN): Enhancing exemplar-based video colorization, Neurocomputing, Volume 598, 2024.

• Wang Yin, Peng Lu*, Xujun Peng. ColorFlow: A Conditional Normalizing Flow for Image Colorization[C]// International Conference on Acoustics, Speech and Signal Processing (ICASSP）, 2024. (ORAL)

• Shibiao Xu, Shunpeng Chen, Rongtao Xu, Changwei Wang, Peng Lu, Li Guo. Local feature matching using deep learning: A survey[J]. Information Fusion,2024, 107. 

• Wei Wang, Peng Lu*, Xujun Peng, Wang Yin, Zhaoran Zhao. RLSCNet: A Residual Lineshaped Convolutional Network for Vanishing Point Detection[C]// International Conference on Multimedia Modeling (MMM), 2023:103-114. 

• Wang Yin, Peng Lu*, Zhaoran Zhao, Xujun Peng. Yes, “Attention Is All You Need”, for Exemplar based Colorization[C]// ACM International Conference on Multimedia(ACM MM), 2021:2243-2251. 

• Peng Lu, Hao Zhang, Xujun Peng, Xiaofu Jin. Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping[J]. IEEE Transactions on Multimedia(TMM), 2021, 23:3618-3630. 

• Peng Lu, Jiahui Liu, Xujun Peng, Xiaojie Wang. Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions[C]// ACM International Conference on Multimedia(ACM MM), 2020:120-128. (ORAL)

• Peng Lu, Jinbei Yu, Xujun Peng, Zhaoran Zhao, Xiaojie Wang. Gray2ColorNet: Transfer More Colors from Reference Image[C]// ACM International Conference on Multimedia(ACM MM), 2020:3210-3218.

出版教材：

1. 鲁鹏. 《三维重建基础》，北京邮电大学出版社，2023年.

2. 鲁鹏，朱新山. 《计算机视觉基础》，清华大学出版社，2025年.