喬伊果
職稱:中級
所在院系:計算機科學系
研究方向:多模态視覺感知、計算機視覺、機器學習
電話:
郵箱:yqiao@seu.edu.cn
職務:
個人簡介

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


喬伊果,博士,講師,碩導,bet356手机版唯一官网“紫金青年學者”。2018年于西安電子科技大學獲博士學位,2019-2022年于英國巴斯大學CAMERA研究中心和Pering實驗室任博士後研究員。研究領域涉及計算機視覺、多模态視覺感知、機器學習等,主要包括3D目标檢測、多模态圖像處理及其在多媒體、智慧醫療、動作捕捉等領域的應用。在相關領域國際權威期刊/會議發表論文多篇,申請并獲授權國家專利多項,主持/參與多項海内外科研項目。學術兼職包括中國計算機學會多媒體技術專委會執行委員,中國圖象圖形學學會多媒體技術專委會委員,長期擔任多個國際期刊/會議審稿人


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.


每年招收碩士研究生5名左右,歡迎對相關研究方向有興趣、編程能力紮實、認真負責、自律勤奮的同學加入!

研究方向
教育經曆
工作經曆
科研項目

1. 國家自然科學基金青年項目,基于标記分布學習的無錨框三維目标檢測技術,2024.01-2026.12,主持

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

3. 國家自然科學基金青年項目,高光譜遙感空譜寬度學習的高效分類算法研究,2019.01-2021.12,參與

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

5. 國家自然科學基金面上項目,3DTV中編碼效應消除和高質量雙目視圖生成研究,2013.01-2016.12,參與

論文著作

[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.

專利

1. 焦李成;喬伊果;候彪;楊淑媛;劉紅英;曹向海;馬文萍;馬晶晶;張丹;霍麗娜,引入顔色校正的自由視點圖像合成方法,2016-05-19,ZL201610334492.7

2. 焦李成;喬伊果;侯彪;楊淑媛;劉紅英;曹向海;馬文萍;馬晶晶;張丹;霍麗娜,基于最短聯合路徑的深度圖上采樣方法,2016-05-19,ZL201610334077.1

3. 鄭喆坤;焦李成;薛飛;孫天;喬伊果,一種基于視差最小可察覺誤差模型的感知立體視頻編碼,2014-05-30,ZL201410240167.5

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