乔伊果
职称:中级
所在院系:计算机科学系
研究方向:多模态视觉感知、计算机视觉、机器学习
电话:
邮箱:yqiao@seu.edu.cn
职务:
个人简介

Ph.D., Assistant Professor

PAttern Learning and Mining (PALM) Lab

School of Computer Science and Engineering, Southeast University

Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, China


乔伊果,博士,讲师,硕导,东南大学“紫金青年学者”。2018年于西安电子科技大学获博士学位,2019-2022年于英国巴斯大学CAMERA研究中心和Pering实验室任博士后研究员。研究领域涉及计算机视觉、多模态视觉感知、机器学习等,主要包括3D目标检测、多模态图像处理及其在多媒体、智慧医疗、动作捕捉等领域的应用。在相关领域国际权威期刊/会议发表论文多篇,申请并获授权国家专利多项,主持/参与多项海内外科研项目。学术兼职包括中国计算机学会多媒体技术专委会执行委员,中国图象图形学学会多媒体技术专委会委员,长期担任多个国际期刊/会议审稿人


Yiguo Qiao is currently an Assistant Professor in the PALM Lab of School of Computer Science and Engineering at Southeast UniversityFrom 2019 to 2022, she was a Research Associate in the CAMERA centre and the Pering Lab at the University of Bath in U.K.. She received her Ph.D. and B.E. degrees from Xidian University in 2018 and 2010, respectively, her PhD in the IPIU Lab was supervised by Prof. Licheng JiaoYiguo’s research interests cover the fields of multimodal visual perception, computer vision and machine learning, specifically focusing on multimodal image processing and their applications in multimedia, smart healthcare, etc.. For more information, you may click to drop into her personal homepage.


每年招收硕士研究生5名左右,欢迎对相关研究方向有兴趣、编程能力扎实、认真负责、自律勤奋的同学加入!

研究方向
教育经历
工作经历
科研项目

1. 国家自然科学基金青年项目,基于标记分布学习的无锚框三维目标检测技术,2024.01-2026.12,主持

2. Engineering and Physical Sciences Research Council, CAMERA Mocap,2020.11-2025.10,参与 

3. 国家自然科学基金青年项目,高光谱遥感空谱宽度学习的高效分类算法研究,2019.01-2021.12,参与

4. Innovate UK, The Rheumatoid Arthritis Flare Up Profiler, 2018.11-2021.01,参与

5. 国家自然科学基金面上项目,3DTV中编码效应消除和高质量双目视图生成研究,2013.01-2016.12,参与

论文著作

[1] Y. Qiao, L. Jiao, W. Li, C. Richardt and D. Cosker, Fast, High-Quality Hierarchical Depth-Map Super-Resolution, In: Proceedings of the 29th ACM International Conference on Multimedia (ACM MM'21), Chengdu, China, 2021, pp. 4444-4453. [Project] 

[2] D. Egan, G. Fletcher, Y. Qiao, D. Cosker and R. McDonnell, How to Train Your Dog: Neural Enhancement of Quadruped Animations, In: Proceedings of the 14th ACM SIGGRAPH Conference on Motion, Interaction and Games (ACM MIG'21), Virtual conference, pp. 1-7.

[3] G. Fletcher, Y. Qiao, R. Fribourg, J. Deane, R. McDonnell and D. Cosker, Exploring the Perception of Quadruped Motion Retargeting, the 14th ACM SIGGRAPH Conference on Motion, Interaction and Games (ACM MIG'21), Virtual conference, 2021. Poster

[4] Y. Qiao, L. Jiao, X. Tang, W. Li and D. Cosker, High-Quality Depth Up-Sampling via a Supervised Classification Guided MRF Model, Pattern Recognition Letters (PRL), 2020, 138: 315-320.

[5] Y. Qiao, L. Jiao, S. Yang and B. Hou, A Novel Segmentation based Depth Map Upsampling, IEEE Transactions on Multimedia (TMM), 2019, 21(1): 1-14.

[6] Y. Qiao, L. Jiao, S. Yang, B. Hou and J. Feng, Color Correction and Depth-Based Hierarchical Hole Filling in Free Viewpoint Generation, IEEE Transactions on Broadcasting(TBC), 2019, 65(2): 1-14.

[7] Y. Qiao, L. Jiao and B. Hou, High-Quality Depth Up-Sampling Based on Multi-Scale SLIC, Electronics Letters (EL), 2018, 54(8): 494-496.

[8] Y. Qiao and C. Jung, Dictionary Based Hole Filling with Assistance of Depth, In: Proceedings of the 2014 IEEE International Conference on Multimedia and Expo (ICME'14), Chengdu, China, pp. 1-6.

专利

1. 焦李成;乔伊果;候彪;杨淑媛;刘红英;曹向海;马文萍;马晶晶;张丹;霍丽娜,引入颜色校正的自由视点图像合成方法,2016-05-19,ZL201610334492.7

2. 焦李成;乔伊果;侯彪;杨淑媛;刘红英;曹向海;马文萍;马晶晶;张丹;霍丽娜,基于最短联合路径的深度图上采样方法,2016-05-19,ZL201610334077.1

3. 郑喆坤;焦李成;薛飞;孙天;乔伊果,一种基于视差最小可察觉误差模型的感知立体视频编码,2014-05-30,ZL201410240167.5

获奖情况
  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
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