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校内导师

於俊

文章来源:本站原创

发布时间:2021-12-06 14:55:37

文章作者:本站编辑

姓名

 

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联系地址

安徽省合肥市中国科学技术大学西区科技实验楼西301

所属院系

中国科学技术大学信息科学技术学院自动化系/中国科学技术大学先进技术研究院

学位/职称

博士/副教授

办公室电话

13856070316

Email

harryjun@ustc.edu.cn

https://auto.ustc.edu.cn/2021/0510/c25977a484905/page.htm

教育背景

(1) 2003-092010-06, 中国科学技术大学控制科学与工程博士。

(2) 1999-092003-07, 国防科技大学电子信息工程学士。

研究方向

人工智能、多媒体计算、计算机视觉、计算机图形学以及数字图像处理。

任职经历

(1) 2019-12至现在中国科学技术大学信息科学技术学院自动化系副教授。

(2) 2016-122017-12, 美国纽约州立大学(布法罗), 工程学院计算机科学与工程系,  国家公派访问学者。

(3) 2014-032019-12, 中国科学技术大学信息科学技术学院自动化系副研究员。

(4) 2010-062014-02, 中国科学技术大学信息科学技术学院自动化系博士后研究员。

获得荣誉、奖项

年重要奖励:

(1) CCF A类国际顶级会议 (IEEE/CVF CVPR MAVOC) 最佳论文奖 (第一获奖人), 2022

(2) CCF A类国际顶级会议 (IEEE/CVF ICCV MFR) 最佳论文奖 (第一获奖人), 2021

(3) CCF A类国际顶级会议 (IEEE/CVF CVPR CLIFF) 最佳论文奖 (第一获奖人), 2022

(4) 国际旗舰会议 (IEEE FG) RFIW最佳论文奖 (第一获奖人), 2021

(5) 国际旗舰会议 (IEEE ICME) 最佳论文提名奖 (第一获奖人), 2017

(6) 国际旗舰会议 (IEEE FG) RFIW最佳论文奖 (第一获奖人), 2020

(7) CCF A类国际顶级会议 (IEEE/CVF CVPR) 多模态目标检测挑战赛冠军, 2022

(8) CCF A类国际顶级会议 (IEEE/CVF CVPR) 多模态目标分类挑战赛冠军, 2022

(9) CCF A类国际顶级会议 (IEEE/CVF CVPR) 多模态目标识别挑战赛冠军, 2022

(10) CCF A类国际顶级会议 (IEEE/CVF CVPR) 图文识别与推理挑战赛冠军 (第一获奖人), 2021

(11) CCF A类国际顶级会议 (IEEE/CVF ICCV) 细粒度物体检索挑战赛冠军 (第一获奖人), 2021

(12) CCF A类国际顶级会议 (IEEE/CVF CVPR)RetailVision图像检测挑战赛冠军 (第一获奖人), 2020

(13) CCF A类国际顶级会议 (ACM Multimedia)AI Meets Beauty图像识别挑战赛冠军 (第一获奖人), 2020

(14) CCF A类国际顶级会议 (ACM Multimedia)AI Meets Beauty图像识别挑战赛冠军 (第一获奖人), 2019

(15) 国际旗舰会议 (IEEE ICME) 嵌入式轻量级交通场景物体图像检测挑战赛冠军 (第一获奖人), 2020

(16) 国际旗舰会议 (IEEE FG) 人脸图像近亲识别挑战赛:赛道2 (一对二验证)冠军 (第一获奖人), 2020

(17) 中国模式识别与计算机视觉大会 (PRCV) 少样本图像识别挑战赛冠军 (第一获奖人), 2018

(18) 国际顶级会议 (ECCV) 人脸图像身份识别挑战赛亚军 (第一获奖人), 2020

(19) 国际旗舰会议 (ACM ICMR) 雷达目标检测挑战赛亚军 (第一获奖人), 2021

(20) 国际旗舰会议 (IEEE ICME) 人脸图像特征点定位挑战赛亚军 (第一获奖人), 2019

(21) 国际旗舰会议 (IEEE FG) 人脸图像近亲识别挑战赛:赛道3 (多对多检索)亚军 (第一获奖人), 2020

(22) 中国计算机学会大数据与计算智能大赛 (CCF BDCI) 体动作识别挑战赛 (第一获奖人), 2021

(23) 中国多媒体大会 (ChinaMM) 低光照人脸图像检测挑战赛亚军 (第一获奖人), 2019

(24) 国际旗舰会议 (IEEE FG) 人脸图像近亲识别挑战赛:赛道1 (一对一验证)季军 (第一获奖人), 2020

(25) 中国计算机学会大数据与计算智能大赛 (CCF BDCI) 多人种人脸图像身份识别挑战赛季军 (第一获奖人), 2019

(26) 安徽省自然科学二等奖 (第二获奖人), 2019

(27) 安徽省自然科学优秀学术论文二等奖 (第一获奖人), 2016

(28) 中国科学技术大学兴业证券教育奖 (独立获奖人), 2020

主持、参与项目

项目负责人主持国家和省部级等科研项目共21项,主持项目总经费2295万元。其中国家自然科学基金项目3项。

子课题负责人参与国家和省部级等科研项目共4项,参与项目总经费9251万元。

论文、著作

年代表性论著(IEEE/ACM TOP汇刊与CCF A类顶会)

[1] Jun Yu#*, Qiang Ling, Changwei Luo, Chang Wen Chen, Synthesizing 3D Trump: Predicting and Visualizing the Relationship Between Text, Speech and Articulatory Movements, IEEE/ACM Transactions on Acoustic, Speech and Language Processing, vol. 27, no. 12, pp. 2223-2233, 2019.

[2] Jun Yu#, Zengfu Wang*, A Video, Text and Speech-Driven Realistic 3-D Virtual Head for Human-Machine Interface, IEEE Transactions on Cybernetics, vol. 45, no. 5, pp. 977-988, 2017.

[3] Jun Yu#, Chen Jiang, Rui Li, Changwei Luo, Zengfu Wang*, Real-Time 3-D Facial Animation: from Appearance to Internal Articulators, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 4, pp. 920-932, 2018.

[4] Zhengning Wu#, Xiaobo Xia, Jun Yu*, Tongliang Liu, LR-SVM+: Learning Using Privileged Information with Noisy Labels, IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3116417.

[5] Lingyun Yu#, Jun Yu*, Qiang Ling, BLTRCNN-Based 3-D Articulatory Movement Prediction: Learning Articulatory Synchronicity from Both Text and Audio Inputs, IEEE Transactions on Multimedia, vol. 21, no. 7, pp. 1621-1632, 2019.

[6] Changwei Luo#, Juyong Zhang, Jun Yu*, Chang Wen Chen, Shengjin Wang, Real-Time Head Pose Estimation and Face Modeling from a Depth Image, IEEE Transactions on Multimedia, vol. 21, no. 10, pp. 2473-2481, 2019.

[7] Ye Yu#, Jun Yu*, A Multilayer Pyramid Network Based on Learning for Vehicle Logo Recognition, IEEE Transactions on Intelligent Transportation Systems, 2020, DOI: 10.1109/TITS.2020.2981737.

[8] Mengyan Li#, Zhaoyu Zhang, Jun Yu*, Chang Wen Chen, Learning Face Image Super-Resolution through Facial Semantic Attribute Transformation and Self-Attentive Structure Enhancement, IEEE Transactions on Multimedia, vol. 23, pp. 468-483, 2020.

[9] Zhaoyu Zhang#, Mengyan Li, Haonian Xie, Jun Yu*, Tongliang Liu, Chang Wen Chen, TWGAN: Twin Discriminator Generative Adversarial Networks, IEEE Transactions on Multimedia, 2021, DOI: 10.1109/TMM.2021.3057989.

[10] Lingyun Yu#, Jun Yu*, Qiang Ling, Multimodal Inputs Driven Talking Face Generation with Spatial-Temporal Dependency, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 1, pp. 203-216, 2021.

[11] Mengyan Li#, Zhaoyu Zhang, Guochen Xie, Jun Yu*, A Deep Learning Approach for Face Hallucination Guided by Facial Boundary Responses, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 16, no. 1, pp. 1-23, 2020.

[12] Haifeng Zhang#, Wen Su, Jun Yu*, Identity-Expression Dual Branch Network for Facial Expression Recognition, IEEE Transactions on Cognitive and Developmental System, 2020, DOI: 10.1109/TCDS.2020.3034807.

[13] Jun Yu#*, A Real-Time Music VR System for 3D External and Internal Articulators, IEEE Virtual Reality, 2019, pp. 1259-1260.

[14] Jun Yu#*, Chang Wen Chen, Zengfu Wang, 3D Singing Head for Music VR: Learning External and Internal Articulatory Synchronicity from Lyric, Audio and Notes, ACM Multimedia, 2019, pp. 945-952.

[15] Jun Yu#, Guochen Xie*, Mengyan Li, Haonian Xie, Lingyun Yu, Beauty Product Retrieval Based on Regional Maximum Activation of Convolutions with Generalized Attention, ACM Multimedia, 2019, pp. 2553-2557.

[16] Jun Yu#*, Guochen Xie, Mengyan Li, Haonian Xie, Attention Based Beauty Product Retrieval Using Global and Local Descriptors, ACM Multimedia, 2020, pp. 4708-4712.

[17] Zhaoyu Zhang#, Mengyan Li, Jun Yu*, On the Convergence and Mode Collapse of GAN, SIGGRAPH ASIA, 2018, pp. 84-87.

[18] Zhaoyu Zhang#, Jun Yu*, STDGAN: ResBlock Based Generative Adversarial Nets Using Spectral Normalization and Two Different Discriminators, ACM Multimedia, 2019, pp. 674-682.

[19] Haifeng Zhang#, Wen Su, Jun Yu*, Weakly Supervised Local-Global Relation Network for Facial Expression Recognition, International Joint Conference on Artificial Intelligence, 2020, pp. 1040-1046.

[20] Jun Yu#, Xinlong Hao*, Peng He, Zeyu Cui, Tongliang Liu, Boosting Fairness for Masked Face Recognition, International Conference on Computer Vision, 2021, Accept.

[21] Jun Yu#, Xinlong Hao, Peng He*, Single-stage Face Detection under Extremely Low-light Conditions, International Conference on Computer Vision, 2021, Accept.

[22] Dawei Zhou#, Nanan Wang*, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu, Removing Adversarial Noise in Class Activation Feature Space, International Conference on Computer Vision, 2021, Accept.

[23] Jianrui Cai#, Jun Yu, et al., NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results, IEEE Conference on Computer Vision and Pattern Recognition, 2019, pp. 796-808.

[24] Jiabao Wang#, Jun Yu*, Fang Gao, AUNet++: Attention Nested U-Net for Monocular Depth Estimation, International Joint Conference on Artificial Intelligence, 2021, Accept.

[25] Hao Chang#, Jun Yu*, BiSTF: Bilateral-Branch Self-Training Framework for Fine-Grained Recognition, International Joint Conference on Artificial Intelligence, 2021, Accept.

[26] Yongrui Li#, Linghua Xiang, Jun Yu*, Fine-Grained Language Identification in Scene Text Images, ACM Multimedia, 2021, Accept.

[27] Jun Yu#*, Xinlong Hao, Haonian Xie, Ye Yu, Fair Face Recognition Using Data Balancing, Enhancement and Fusion, European Conference on Computer Vision, 2020, DOI: 10.1007/978-3-030-65414-6_34.

[28] Xiaobo Xia#, Jun Yu, Gang Niu, Tongliang Liu*, Sample Selection with Uncertainty of Losses for Learning with Noisy Labels, International Conference on Learning Representation, 2022, Accept.

[29] Jun Yu#, Hao Chang*, Keda Lu, Liwen Zhang, Shenshen Du, Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification, IEEE Conference on Computer Vision and Pattern Recognition, 2022, Accept.

[30] Jun Yu#, Liwen Zhang*, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling, Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection, IEEE Conference on Computer Vision and Pattern Recognition, 2022, Accept.

[31] Jun Yu#, Yihao Li*, Cross-modal Target Retrieval for Tracking by Natural Language, IEEE Conference on Computer Vision and Pattern Recognition, 2022, Accept.

[32] Chaojian Yu#, Bo Han, Shen Li, Jun Yu*, Chen Gong, Mingming Gong, Tongliang Liu, Understanding Robust Overfitting of Adversarial Training and Beyond, International Conference on Machine Learning, 2022, Accept.