论文

2024

  1. Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu.Conditional Controllable Image Fusion.NeurlPS 2024[pdf | code | bibtex]
  2. Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu. What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. NeurlPS 2024.[pdf | code | bibtex]
  3. Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu. Persistence Homology Distillation for Semi-supervised Continual Learning. NeurlPS 2024.[pdf | code | bibtex]
  4. Bing Cao, Haiyu Yao, Pengfei Zhu, Qinghua Hu.Visible and Clear: Finding Tiny Objects in Difference Map. ECCV 2024. [pdf | code | bibtex]
  5. Peiliang Huang, Dingwen Zhang, De Cheng, Longfei Han, Pengfei Zhu, Junwei Han. M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection. Internatinal Journal of Computer Vision2024.[pdf | code | bibtex]
  6. Chenchen Jiang, Huazhong Ren, Hong Yang, Hongtao Huo, Pengfei Zhu, Zhaoyuan Yao, Jing Li, Min Sun, Shihao Yang. M2FNet: Multi-modal fusion network for object detection from visible and thermal infrared images. International Journal of Applied Earth Observation and Geoinformation2024.[pdf | code | bibtex]
  7. Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu. Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. ICML 2024. [pdf | code | bibtex]
  8. Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu. Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion. IJCAI 2024. [pdf | code | bibtex]
  9. Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu.Integrated Heterogeneous Graph Attention Network for Incomplete Multi-Modal Clustering.International Journal of Computer Vision 2024. [pdf | code | bibtex]
  10. Pengfei Zhu, Yang Sun, Bing Cao, Qinghua Hu. Task-Customized Mixture of Adapters for General Image Fusion. CVPR 2024. [pdf | code | bibtex]
  11. Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu.AMU-Tuning: Learning Effective Bias for CLIP-based Few-shot Classification.CVPR 2024. [pdf | code | bibtex]
  12. Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu. Multi-View Deep Subspace Clustering Networks. IEEE Transactions on Cybernetics 2024. [pdf | code | bibtex]
  13. Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu.Bi-directional Adapter for Multimodal Tracking.AAAI 2024.[pdf | code | bibtex]
  14. Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu. Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering.AAAI 2024.[pdf | code | bibtex]
  15. Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu. Exploring Diverse Representations for Open Set Recognition.AAAI 2024.[pdf | code | bibtex]
  16. Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu. Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.AAAI 2024.[pdf | code | bibtex]
  17. Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu. Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering. IEEE Transactions on Neural Networks and Learning Systems.[pdf | code | bibtex]
  18. Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wang. CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.[pdf | code | bibtex]

2023

  1. Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu#, Peihua Li, Wangmeng Zuo, Qinghua hu#.Towards A Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.IEEE Transactions on Pattern Analysis and Machine Intelligence.[pdf | code | bibtex]
  2. Bing Cao*,Yiming Sun*, Pengfei Zhu, Qinghua Hu.Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. ICCV 2023. [pdf | code | bibtex]
  3. Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu. Jingbo Zhou,Tuning Pre-trained Model via Moment Probing. ICCV 2023. [pdf | code | bibtex]
  4. Guanlin Chen, Pengfei Zhu, Bing Cao, Xing Wang, Qinghua Hu.Cross-Drone Transformer Network for Robust Single Object Tracking.IEEE Transactions on Circuits and Systems for Video Technology.[pdf | code | bibtex]
  5. Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu. Autoencoder-based Collaborative Attention GAN for Multi-modal Image Synthesis.IEEE Transactions onMultimedia. [pdf | code | bibtex]
  6. Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu. OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Transactions on Circuits and Systems for Video Technology. [pdf | code | bibtex]
  7. Pengfei Zhu, Jingqing Li, Bing Cao, Qinghua Hu. Multi-Task Credible Pseudo-Label Learning for Semi-supervised Crowd Counting.IEEE Transactions on Neural Networks and Learning Systems. [pdf | code | bibtex]
  8. Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu.Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark.IEEE Transactions onMultimedia. [pdf | code | video| bibtex]
  9. Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao. Multi-view Knowledge Ensemble with Frequency Consistency for Face Cross-Domain Translation.IEEE Transactions on Neural Networks and Learning Systems. [pdf | code | bibtex]
  10. Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen. Stabilizing Multispectral Pedestrian Detection with Evidential Hybrid Fusion.IEEE Transactions on Circuits and Systems for Video Technology.[pdf | code | bibtex]

2022

  1. Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu, Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking,IEEE Transactions on Neural Networks and Learning Systems. [pdf | code | bibtex]
  2. Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu, DetFusion: A Detection-driven Infrared and Visible Image Fusion Network, Proceedings of the 30th ACM International Conference on Multimedia. [pdf | code | bibtex]
  3. Pengfei Zhu, Yiming Sun, Bing Cao, Xiaoyu Liu, Xin Liu, Qinghua Hu, Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container, IEEE Transactions on Instrumentation and Measurement. [pdf | code | bibtex]
  4. Xin Cui, Cong Wang, Dongwei Ren, Yunjin Chen, Pengfei Zhu, Semi-supervised Image Deraining Using Knowledge Distillation,IEEE Transactions on Circuits and Systems for Video Technology.[pdf | code | bibtex]
  5. Pengfei Zhu, Zhilin Zhu, Yu Wang, Jinglin Zhang, Shuai Zhao, Multi-granularity episodic contrastive learning for few-shot learning,Pattern Recognition.[pdf | code | bibtex]
  6. Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu, Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering,IEEE Transactions on Neural Networks and Learning Systems. [pdf | code | bibtex]
  7. Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu, Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation,International Journal of Computer Vision. [pdf | code | bibtex]
  8. Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu, Drone-Based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning, IEEE Transactions on Circuits and Systems for Video Technology. [pdf | code | bibtex]
  9. Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Confidence-aware Fusion using Dempster-Shafer Theory for Multispectral Pedestrian Detection,IEEE Transactions on Multimedia. [pdf | code | bibtex]
  10. Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian, Label-Effcient Hybrid-Supervised Learning for Medical Image Segmentation, Proceedings of the AAAI Conference on Artificial Intelligence. [pdf  | code | bibtex]
  11. Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu, Latent Heterogeneous Graph Network for Incomplete Multi-View Learning, IEEE Transactions on Multimedia. [pdf | code | bibtex]
2021
  1. Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Heng Fan, Qinghua Hu, Haibin Ling, Detection and Tracking Meet Drones Challenge,IEEE Transactions on Pattern Analysis and Machine Intelligence. [pdf | code | bibtex]
  2. Pengfei Zhu, Tao Peng, Dawei Du, Hongtao Yu, Libo Zhang, Qinghua Hu, Graph Regularized Flow Attention Network for Video Animal Counting From Drones,IEEE Transactions on Image Processing. [pdf | code | bibtex]
  3. Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu, Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing,Proceedings of the AAAI Conference on Artificial Intelligence. [pdf | code | bibtex]
  4. Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu, Multi-View Information-Bottleneck Representation Learning,Proceedings of the AAAI Conference on Artificial Intelligence. [pdf | code | bibtex]
  5. Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji, Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors,IEEE Transactions on Pattern Analysis and Machine Intelligence. [pdf | code | bibtex]
  6. Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu, Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. [pdf | code | bibtex]
2020
  1. Pengfei Zhu, Jiayu Zheng, Dawei Du, Longyin Wen, Yiming Sun, Qinghua Hu, Multi-Drone-Based Single Object Tracking With Agent Sharing Network,IEEE Transactions on Circuits and Systems for Video Technology. [pdf | code | bibtex]
  2. Jianqing Liang, Pengfei Zhu, Chuangyin Dang, Qinghua Hu, Semisupervised Laplace-Regularized Multimodality Metric Learning,IEEE Transactions on Cybernetics. [pdf | code | bibtex]
  3. Yuxuan Shi, Zhen Wei, Hefei Ling, Ziyang Wang, Pengfei Zhu, Jialie Shen, Ping Li, Adaptive and Robust Partition Learning for Person Retrieval With Policy Gradient, IEEE Transactions on Multimedia. [pdf | code | bibtex]
  4. Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu, SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning, European Conference on Computer Vision. [pdf | code | bibtex]
  5. Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu, Spatial Attention Pyramid Network for Unsupervised Domain Adaptation, European Conference on Computer Vision. [pdf | code | bibtex]
  6. Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo, Single Image Deraining Using Bilateral Recurrent Network,IEEE Transactions on Image Processing. [pdf | code | bibtex]
  7. Binyuan Hui, Pengfei Zhu, Qinghua Hu, Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning, Proceedings of the AAAI Conference on Artificial Intelligence. [pdf | code | bibtex]
  8. Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu, ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks,Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. [pdf | code | bibtex]
  9. Xiaofeng Zhu, Shichao Zhang, Yonghua Zhu,Pengfei Zhu, Yue Gao, Unsupervised spectral feature selection with dynamic hyper-graph learning, IEEE Transactions on Knowledge and Data Engineering. [pdf | code | bibtex]
2019
  1. Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang, A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification,IEEE Transactions on Knowledge and Data Engineering. [pdf | code | bibtex]
  2. Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M Garibaldi, Xianling Li, Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification,IEEE Transactions on Fuzzy Systems. [pdf | code | bibtex]
  3. Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang, Flexible Multi-View Representation Learning for Subspace Clustering, International Joint Conference on Artificial Intelligence. [pdf | code | bibtex]
  4. Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu, Hybrid Noise-Oriented Multilabel Learning,IEEE Transactions on Cybernetics. [pdf | code | bibtex]
  5. Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu, Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification,IEEE Transactions on Fuzzy Systems. [pdf | code | bibtex]
  6. Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo, Deep Global Generalized Gaussian Networks,Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. [pdf | code | bibtex]
  7. Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng, Progressive Image Deraining Networks: A Better and Simpler Baseline, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. [pdf | code | bibtex]
2018
  1. Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng, Multi-view label embedding,Pattern Recognition. [pdf  | code | bibtex]
  2. Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu, One-Step Multi-View Spectral Clustering,IEEE Transactions on Knowledge and Data Engineering. [pdf | code | bibtex]
  3. Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang, Latent Semantic Aware Multi-View Multi-Label Classification, Proceedings of the AAAI Conference on Artificial Intelligence. [pdf | code | bibtex]
  4. Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao, Multi-label feature selection with missing labels,Pattern Recognition.[pdf | code | bibtex]
  5. Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu, FISH-MML: Fisher-HSIC Multi-View Metric Learning, International Joint Conference on Artificial Intelligence. [pdf | code | bibtex]
  6. Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang, Towards Generalized and Efficient Metric Learning on Riemannian Manifold, International Joint Conference on Artificial Intelligence. [pdf | code | bibtex]
  7. Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang, Beyond Similar and Dissimilar Relations: A Kernel Regression Formulation for Metric Learning, International Joint Conference on Artificial Intelligence. [pdf | code | bibtex]
2017 and before
  1. Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo, Subspace clustering guided unsupervised feature selection, Pattern Recognition, 2017. [pdf  | code | bibtex]
  2. Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu, Hierarchical Feature Selection with Recursive Regularization, International Joint Conference on Artificial Intelligence, 2017. [pdf | code | bibtex]
  3. Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao, Latent Multi-view Subspace Clustering, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017. [pdf | code | bibtex]
  4. Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao, Flexible Multi-View Dimensionality Co-Reduction, IEEE Transactions on Image Processing, 2016. [pdf | code | bibtex]
  5. Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo, Coupled Dictionary Learning for Unsupervised Feature Selection, Proceedings of the AAAI Conference on Artificial Intelligence, 2016. [pdf | code | bibtex]
  6. Shuang An, Qinghua Hu, Witold Pedrycz, Pengfei Zhu, Eric CC Tsang, Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification, IEEE Transactions on Cybernetics, 2015. [pdf | code | bibtex]
  7. Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Simon Chi-Keung Shiu, David Zhang, Image Set based Collaborative Representation for Face Recognition, IEEE Transactions on Information Forensics and Security, 2014. [pdf | code | bibtex]
  8. Pengfei Zhu, Wangmeng Zuo, Lei Zhang, Qinghua Hu, Simon C.K. Shiu, Unsupervised feature selection by regularized self-representation, Pattern Recognition, 2014. [pdf | code | bibtex]
  9. Pengfei Zhu, Lei Zhang, Wangmeng Zuo, David Zhang, From Point to Set: Extend the Learning of Distance Metrics, IEEE International Conference on Computer Vision, 2013. [pdf | code | bibtex]
  10. Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon CK Shiu, Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization, European Conference on Computer Vision, 2012. [pdf | code | bibtex]
  11. Lei Zhang, Pengfei Zhu, Qinghua Hu, David Zhang, A Linear Subspace Learning Approach via Sparse Coding, IEEE International Conference on Computer Vision, 2011. [pdf | code | bibtex]
  12. Degang Chen, Lei Zhang, Suyun Zhao, Qinghua Hu, Pengfei Zhu, A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets, IEEE Transactions on Fuzzy Systems. [pdf | code | bibtex]

专利

编号专利发明者专利题名专利号授权公告日证书
1朱鹏飞,王辉,李东,胡清华一种吊臂车作业场景下行人违规逗留的景深判别方法ZL202110190561.22024年02月13日PDF
2朱鹏飞,王童,胡清华一种用于多模态目标跟踪的对象感知图像融合方法ZL202110169737.62023年08月01日PDF
3朱鹏飞,贾安,刘满杰,谢津平,徐寅生,詹昊,张云姣,王守志一种基于全卷积神经网络的遥感图像语义分割方法及装置ZL202110625909.62023年07月14日PDF
4朱鹏飞,贾安,刘满杰,谢津平,徐寅生,詹昊,张云姣,王守志基于递归图神经网络解决边缘过平滑的方法及装置ZL202110848071.72023年07月07日PDF
5马永娟,朱鹏飞,黄进晟,王汉石,石红,赵帅,胡清华一种基于时域注意力池化网络的动图分类方法及装置ZL202110396335.X2023年02月17日PDF
6王煜,张琬迎,朱鹏飞,胡清华一种考虑多粒度类相关性的对比式开放集图像识别方法及装置ZL202111079902.52023年01月24日PDF
7朱鹏飞,孙一铭,黄进晟,王汉石,赵帅,胡清华一种基于不确定感知网络的双光车辆检测方法及装置ZL202110394835.X2022年12月23日PDF
8胡清华,焦利敏,朱鹏飞,李红伟,曲宗峰,郑爽一种基于语音交互的智能家电智能化水平测试系统及方法ZL202011378036.52022年12月16日PDF
9于洪涛,朱鹏飞基于动态紧凑记忆嵌入的可变形单目标跟踪方法及装置ZL202110736925.22022年12月13日PDF
10穆朝絮,刘朝阳,朱鹏飞一种基于多智能体分层强化学习的迷宫导航方法及装置ZL202110519144.82022年10月04日PDF
11朱鹏飞,于洪涛基于自适应相关滤波特征融合学习的视觉跟踪方法及装置ZL202110615306.82022年09月27日PDF
12李红伟,胡消华,焦利敏,朱鹏飞,曲宗峰,郑爽一种用于家电智能化水平测试的测试系统ZL202011378019.12022年08月19日PDF
13朱鹏飞,潘俊文,徐讳毅,王汉石,赵帅,胡清华基于自监督低秩网络的半监督图像语义分割方法及装置ZL202110396330.72022年05月31日PDF
14朱鹏飞,尚元元,胡清华基于数据共享的多智能体协同跟踪方法、装置及存储介质ZL202110411910.92022年04月15日PDF
15朱鹏飞,汪廉杰,胡清华一种人机协同的图像分割与标注方法ZL201811622286.12021年06月04日PDF
16朱鹏飞,贾安,金聪,李东,唐培贤,胡清华一种基于正射影像图对比的河道异常检测方法ZL201911144765.12021年05月18日PDF
17朱鹏飞,刘肖宇,胡清华一种基于全自动学习的目标检测方法ZL202010004236.82021年05月14日PDF
18朱鹏飞,魏志强,翁哲明,彭涛,曹亚如,胡清华一种基于图正则光流注意力网络的动物计数方法ZL202010518779.12021年05月14日PDF
19朱鹏飞,刘家旭,汪廉杰,胡清华一种人机协同的图像目标检测数据半自动标注方法ZL201910967500.52021年05月04日PDF
20朱鹏飞,魏志强,翁哲明,彭涛,曹亚如,胡清华基于时空多尺度网络的人流密度图估计、定位和跟踪方法ZL202010518778.72021年04月02日PDF

获奖

获奖人名称获奖年份证书
团队成员:冯杰康,姚海屿,姚鑫杰,李想; 指导老师: 朱鹏飞,曹兵昇腾AI创新大赛2024天津赛区金奖2024PDF
赵秋多,王沛,姚海屿,周鑫,王铭宇,张鹏程,指导教师:朱鹏飞,翁仲明第九届“互联网+”大学生创新创业大赛天津赛区金奖2023PDF
张庭赫、Suhaib Suhaib;指导教师:胡清华、朱鹏飞中国国际大学生创新大赛国际赛道银奖2023PDF
王茂林,陈曦,穆郡贤;指导老师:王煜,朱鹏飞CVPR 2023 Object Discovery Challenge冠军2023PDF
学生:朱之林,范妍,陈慧彤,季罗娜,姚鑫杰,穆郡贤;指导老师:王煜,朱鹏飞CVPR 2023 CLVision Challenge 亚军2023PDF
谢津平,朱鹏飞,王旗龙,奚歌,张云姣,詹昊,许健,曹兵天津市科技进步二等奖2023PDF
朱鹏飞天津大学十佳杰出青年(教工)2023PDF
平原,刘海超,杨嘉豪,吴冲,杨光,孙立远,刘效朋, 陶柏安,姚海屿,朱鹏飞第三届“无人争锋”挑战赛使命召唤冠军2023PDF
获奖队员:李科融,王震 ;负责人:朱鹏飞世界智能驾驶挑战赛智慧交通沙盘赛银奖2023PDF
王旗龙,赵帅,朱鹏飞,谢宗霞,朱向雷,杜志彬,张庆余,胡清华天津市科技进步二等奖2022PDF
学生:陈冠林,潘俊文,刘轶; 指导老师:朱鹏飞CVPR 2022 VQA竞赛冠军2022PDF
罗超凡,刘昱龙,刘锦帆,杨昕明,尚元元,杨吴也,李佩珂,单玉青挑战杯”中国银行天津市大学生创业计划竞赛金奖2022PDF
学生:张轩宇,戴渝州,王逸超,刘昱麟;指导老师:朱鹏飞,郑春东第七届“互联网+大学生创新创业大赛天津赛区金奖2021PDF
学生:潘俊文,马永娟; 指导老师:朱鹏飞CVPR 2021非完全数据挑战赛亚军2021PDF
朱鹏飞吴文俊人工智能优秀青年奖2021PDF
陈超,赵帅,杜志彬,袁悦,王磊,曹曼曼,朱鹏飞,纪东方,刘应心,李东中国智能交通协会科技进步二等奖2021PDF
Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu(朱鹏飞), and Qinghua HuICME 2021最佳论文奖2021PDF
王旗龙,伍邦谷,朱鹏飞,李培华,左旺孟,胡清华CVPR 2020最有影响力15篇论文2020PDF
李端阳,孙一铭,周晓波,张朝昆,朱鹏飞,胡清华中国智能汽车大赛高速公路自动驾驶比赛一等奖2020PDF
朱鹏飞天津市创新人才推进计划青年科技优秀人才2020PDF
朱鹏飞天津市青年人才托举工程2019PDF
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