HomeFacultyHefeng Wu
吴贺丰
Hefeng Wu
Research Scientist
wuhefeng@mail.sysu.edu.cn

教师简介


吴贺丰,博士,特聘研究员。

 

 

研究领域


计算机视觉, 图像视频分析, 机器学习, 人工智能, 多媒体计算

 

 

获奖及荣誉


(1)   入选广州市珠江科技新星,2019

(2)   广东省计算机科学青年学术秀三等奖,2017

 

 

科研项目


(1)   国家自然科学基金面上项目,语言计算驱动的视觉目标检索与跟踪,主持,62万,批准号:61876045,起止年月:2019-01至2022-12.

(2)   2019年广州市创新环境建设计划珠江科技新星项目,融合文本信息的视觉表达模型研究及应用,主持,30万,批准号:201906010057,起止年月:2019-04至2021-03.

(3)   国家重点研发计划,智慧法院智能化服务技术研究及支撑平台开发-课题三:基于人脸识别的涉案人员智能检索技术及平台,参与,项目骨干,583万,起止年月:2018-07至2021-06.

(4)   国家自然科学基金青年项目,深度相机下基于全局-局部协作模型的视觉目标跟踪研究,主持,26万,批准号:61402120,起止年月:2015-01至2017-12.

(5)   广东省自然科学基金项目,面向深度相机的视觉目标跟踪研究,10万,主持,批准号:2014A030310348,起止年月:2014-10至2017-10.

 

 

近年代表性论著


(*)表示通讯作者

•  Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu*, Guanbin Li, Liang Lin. Knowledge Graph Transfer Network for Few-Shot Recognition. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 10575-10582, 2020. (oral)

•  Lingbo Liu, Jiaqi Chen, Hefeng Wu*, Tianshui Chen, Guanbin Li, Liang Lin. Efficient Crowd Counting via Structured Knowledge Transfer. Proc. ACM International Conference on Multimedia (ACM MM), 2645-2654, 2020.

•  Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin. Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. Proc. ACM International Conference on Multimedia (ACM MM), 1255-1264, 2020. (oral)

•  Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin. Active Object Search. Proc. ACM International Conference on Multimedia (ACM MM), 973-981, 2020. (oral)

•  Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu. Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.

•  Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin. Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction. IEEE Transactions on Intelligent Transportation Systems, 2020.

•  Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin. Fine-Grained Image Captioning with Global-Local Discriminative Objective. IEEE Transactions on Multimedia, 2020.

•  Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu*, Tianshui Chen, Pei Chen, Liang Lin. Crowd counting via scale-communicative aggregation networks. Neurocomputing, 409: 420-430, 2020.

•  Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng. Instance-aware representation learning and association for online multi-person tracking. Pattern Recognition, 94: 25-34, 2019.

•  Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu*, and Liang Lin. Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Proc. IEEE International Conference on Computer Vision (ICCV), 2019.

•  Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu*. ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3225-3234, 2019.

•  Hefeng Wu, Chengying Gao, Yirui Cui, Ruomei Wang. Multipoint infrared laser-based detection and tracking for people counting. Neural Computing and Applications, 29: 1405-1416, 2018.

•  Daiguo Deng, Ruomei Wang, Hefeng Wu*, Huayong He, Qi Li, Xiaonan Luo. Learning deep similarity models with focus ranking for fabric image retrieval. Image and Vision Computing, 70: 11-20, 2018.

•  Ning Liu, Chang Liu, Hefeng Wu*, Hengzheng Zhu, Jin Zhan. Weak-structure-aware visual object tracking with bottom-up and top-down context exploration.  Signal Processing: Image Communication,  68: 169-180,  2018.

•  Hanhui Li, Hefeng Wu, Shujin Lin, Xiaonan Luo. Coupling deep correlation filter and online discriminative learning for visual object tracking. Journal of Computational and Applied Mathematics, 329: 191-201, 2018.

•  Hanhui Li, Hefeng Wu*, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Distortion-Aware Correlation Tracking. IEEE Transactions on Image Processing, 26(11): 5421-5434, 2017.

•  Chengying Gao, Yanmei Luo, Hefeng Wu*, Dong Wang. Data-driven image completion for complex objects. Signal Processing: Image Communication, 57: 21-32, 2017.

•  Hanhui Li, Hefeng Wu, Xiangjian He, Shujin Lin, Ruomei Wang, Xiaonan Luo. Multi-view pairwise relationship learning for sketch based 3D shape retrieval. Proc. IEEE International Conference on Multimedia and Expo (ICME), 1434-1439, 2017.

•  Fei Wang, Shujin Lin, Xiaonan Luo, Hefeng Wu, Ruomei Wang, Fan Zhou. A Data-Driven Approach for Sketch-Based 3D Shape Retrieval via Similar Drawing-Style Recommendation. Computer Graphics Forum, 36(7): 157-166, 2017.

•  Hanhui Li, Hefeng Wu*, Shujin Lin, Liang Lin, Xiaonan Luo, Ebroul Izquierdo. Boosting Zero-Shot Image Classification via Pairwise Relationship Learning. Proc. 13th Asian Conference on Computer Vision (ACCV), 85-99, Nov. 2016. (oral)

•  Fei Wang, Shujin Lin, Hefeng Wu, Ruomei Wang, Xiaonan Luo. Data-driven method for sketch-based 3D shape retrieval based on user similar draw-style recommendation. Proc. SIGGRAPH Asia, Posters, 2016. 

•  Jin Zhan, Hefeng Wu*, Huifang Zhang, Xiaonan Luo. Cascaded Probabilistic Tracking with Supervised Dictionary Learning. Signal Processing: Image Communication, 39: 212-225, 2015.

•  Ning Liu, Hefeng Wu, Liang Lin. Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance. IEEE Transactions on Cybernetics, 45(1): 89-102, 2015.

 

Hefeng Wu
Hefeng Wu
Research Scientist
wuhefeng@mail.sysu.edu.cn

教师简介


吴贺丰,博士,特聘研究员。

 

 

研究领域


计算机视觉, 图像视频分析, 机器学习, 人工智能, 多媒体计算

 

 

获奖及荣誉


(1)   入选广州市珠江科技新星,2019

(2)   广东省计算机科学青年学术秀三等奖,2017

 

 

科研项目


(1)   国家自然科学基金面上项目,语言计算驱动的视觉目标检索与跟踪,主持,62万,批准号:61876045,起止年月:2019-01至2022-12.

(2)   2019年广州市创新环境建设计划珠江科技新星项目,融合文本信息的视觉表达模型研究及应用,主持,30万,批准号:201906010057,起止年月:2019-04至2021-03.

(3)   国家重点研发计划,智慧法院智能化服务技术研究及支撑平台开发-课题三:基于人脸识别的涉案人员智能检索技术及平台,参与,项目骨干,583万,起止年月:2018-07至2021-06.

(4)   国家自然科学基金青年项目,深度相机下基于全局-局部协作模型的视觉目标跟踪研究,主持,26万,批准号:61402120,起止年月:2015-01至2017-12.

(5)   广东省自然科学基金项目,面向深度相机的视觉目标跟踪研究,10万,主持,批准号:2014A030310348,起止年月:2014-10至2017-10.

 

 

近年代表性论著


(*)表示通讯作者

•  Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu*, Guanbin Li, Liang Lin. Knowledge Graph Transfer Network for Few-Shot Recognition. Proc. of AAAI Conference on Artificial Intelligence (AAAI), 10575-10582, 2020. (oral)

•  Lingbo Liu, Jiaqi Chen, Hefeng Wu*, Tianshui Chen, Guanbin Li, Liang Lin. Efficient Crowd Counting via Structured Knowledge Transfer. Proc. ACM International Conference on Multimedia (ACM MM), 2645-2654, 2020.

•  Yuan Xie, Tianshui Chen, Tao Pu, Hefeng Wu, Liang Lin. Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. Proc. ACM International Conference on Multimedia (ACM MM), 1255-1264, 2020. (oral)

•  Jie Wu, Tianshui Chen, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin. Active Object Search. Proc. ACM International Conference on Multimedia (ACM MM), 973-981, 2020. (oral)

•  Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu. Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.

•  Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin. Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction. IEEE Transactions on Intelligent Transportation Systems, 2020.

•  Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin. Fine-Grained Image Captioning with Global-Local Discriminative Objective. IEEE Transactions on Multimedia, 2020.

•  Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu*, Tianshui Chen, Pei Chen, Liang Lin. Crowd counting via scale-communicative aggregation networks. Neurocomputing, 409: 420-430, 2020.

•  Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng. Instance-aware representation learning and association for online multi-person tracking. Pattern Recognition, 94: 25-34, 2019.

•  Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu*, and Liang Lin. Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. Proc. IEEE International Conference on Computer Vision (ICCV), 2019.

•  Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu*. ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding. Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3225-3234, 2019.

•  Hefeng Wu, Chengying Gao, Yirui Cui, Ruomei Wang. Multipoint infrared laser-based detection and tracking for people counting. Neural Computing and Applications, 29: 1405-1416, 2018.

•  Daiguo Deng, Ruomei Wang, Hefeng Wu*, Huayong He, Qi Li, Xiaonan Luo. Learning deep similarity models with focus ranking for fabric image retrieval. Image and Vision Computing, 70: 11-20, 2018.

•  Ning Liu, Chang Liu, Hefeng Wu*, Hengzheng Zhu, Jin Zhan. Weak-structure-aware visual object tracking with bottom-up and top-down context exploration.  Signal Processing: Image Communication,  68: 169-180,  2018.

•  Hanhui Li, Hefeng Wu, Shujin Lin, Xiaonan Luo. Coupling deep correlation filter and online discriminative learning for visual object tracking. Journal of Computational and Applied Mathematics, 329: 191-201, 2018.

•  Hanhui Li, Hefeng Wu*, Huifang Zhang, Shujin Lin, Xiaonan Luo, Ruomei Wang. Distortion-Aware Correlation Tracking. IEEE Transactions on Image Processing, 26(11): 5421-5434, 2017.

•  Chengying Gao, Yanmei Luo, Hefeng Wu*, Dong Wang. Data-driven image completion for complex objects. Signal Processing: Image Communication, 57: 21-32, 2017.

•  Hanhui Li, Hefeng Wu, Xiangjian He, Shujin Lin, Ruomei Wang, Xiaonan Luo. Multi-view pairwise relationship learning for sketch based 3D shape retrieval. Proc. IEEE International Conference on Multimedia and Expo (ICME), 1434-1439, 2017.

•  Fei Wang, Shujin Lin, Xiaonan Luo, Hefeng Wu, Ruomei Wang, Fan Zhou. A Data-Driven Approach for Sketch-Based 3D Shape Retrieval via Similar Drawing-Style Recommendation. Computer Graphics Forum, 36(7): 157-166, 2017.

•  Hanhui Li, Hefeng Wu*, Shujin Lin, Liang Lin, Xiaonan Luo, Ebroul Izquierdo. Boosting Zero-Shot Image Classification via Pairwise Relationship Learning. Proc. 13th Asian Conference on Computer Vision (ACCV), 85-99, Nov. 2016. (oral)

•  Fei Wang, Shujin Lin, Hefeng Wu, Ruomei Wang, Xiaonan Luo. Data-driven method for sketch-based 3D shape retrieval based on user similar draw-style recommendation. Proc. SIGGRAPH Asia, Posters, 2016. 

•  Jin Zhan, Hefeng Wu*, Huifang Zhang, Xiaonan Luo. Cascaded Probabilistic Tracking with Supervised Dictionary Learning. Signal Processing: Image Communication, 39: 212-225, 2015.

•  Ning Liu, Hefeng Wu, Liang Lin. Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance. IEEE Transactions on Cybernetics, 45(1): 89-102, 2015.