个人资料
- 部门: 通信与电子工程学院
- 毕业院校: 西安交通大学
- 学位: 博士
- 学历:
- 邮编:
- 联系电话:
- 传真:
- 电子邮箱: sunli@ee.ecnu.edu.cn
- 办公地址: 信息楼236
- 通讯地址: 东川路500号
教育经历
2004年-2011年,信息与通信工程,硕博连读(保送) 2000年-2004年,信息工程,本科
工作经历
1.2015/1-至今, 华东师范大学,信息科学技术学院通信系,副教授 2.2013/3-2014/12,华东师范大学,信息科学技术学院通信系,讲师 3.2011/9-2013/3, 比利时鲁汶大学,博士后 4.2007/11-2009/2,德国慕尼黑工业大学,计算机系,访问学者
个人简介
通信工程系,副教授。主要的研究方向包括计算机视觉、图像处理、机器学习和深度学习等。在IEEE-TCSVT、PR、IET-Image Processing等重要国际期刊和CVPR、BMVC、ICME、ICASSP和ICIP等重要学术会议上,以第一和通信作者发表论文近30篇,授权发明专利5项。作为项目负责人主持国家自然科学基金(青年),上海市自然科学基金(面上),上海市科委人工智能专项和企业事业单位横向课题等。
社会兼职
IEEE memeber CCF memeber 中国电子学会会员 图形图像处理学会会员
研究方向
研究方向 与计算机视觉、图像处理相关的各种应用,具体包括: 1. 图像分类、目标检测和分割 2. 图像生成和编辑 3. 深度学习在医疗等领域的应用
写给期望找到的学生 基本要求 勤奋踏实,自律,肯钻研,对专业有兴趣,不浮躁不功利。 数学好,特别是线性代数和概率论。 喜欢编程,不讨厌debug,最好已经基本掌握python, C、C++、C#、JAVA或MATLAB等编程语言中任意一种。 目标 瞄准视觉和图像领域的一个小方向做深入研究,做出有影响力的工作。
科研项目
在研 1. 上海市科委人工智能专项,小样本目标属性识别与图像生成技术研究,项目负责人 2. 上海市自然科学基金,视频监控场景下目标跟踪、属性分析和基于目标的显示技术研究,项目负责人 3. 企业横向,基于人工智能方法的X-Ray股骨骨折平片识别及预后预测,项目负责人
完成 1. 国家自然科学基金,视频监控中基于云台可控制摄像机的目标追踪技术研究,项目负责人 2. 企业横向,自动镜检机图像识别软件开发,项目负责人
学术成果
学术论文(2016年以来,通信作者,第一作者均为本人的研究生) S. Li, L. Sun, and Q. Li, CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels, 2023 AAAI Conference on Artificial Intelligence (AAAI). J. Zhao, S. Wu, L. Sun, and Q. Li, IoU-Enhanced Attention for End-to-End Task Specific Object Detection, 2022 Asian Conference on Computer Vision (ACCV). X. Zhou, M. Yin, X. Chen, L. Sun, C. Gao and Q. Li, Cross Attention Based Style Distribution for Controllable Person Image Synthesis, 2022 European Conference on Computer Vision (ECCV). X. Hu, Q. Huang, Z. Shi, S. Li, C. Gao, L. Sun and Q. Li, Style Transformer for Image Inversion and Editing, 2022 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR). X. Hu, X. Zhou, Q. Huang, Z. Shi, L. Sun and Q. Li, QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation, 2022 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR). Q. Huang, Z. Zheng, X. Hu, L. Sun and Q. Li, Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation, 2021 IEEE/CVF International Conference on Computer Vision (ICCV). M. Yin, L. Sun, and Q. Li, ID-Unet: Iterative Soft and Hard Deformation for View Synthesis, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral). Y. Zhang, B. HE, L. Sun, and Q. Li, Progressive Multi-stage Feature Mix for Person Re-identification, 2021 Internatioanl Conference on Acoustics, Speech and Signal Processing (ICASSP). M. Yin, L. Sun, and Q. Li, Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder, 2020 European Conference on Computer Vision (ECCV). Z. Zhang, Z. Zheng, and L.Sun, Disentangling The Spatial Structure And Style In Conditional VAE,2020 IEEE International Conference on Image Processing (ICIP). Z. Zheng and L. Sun, Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019, pp. 12184-12193. Z. Sun, L. Sun and Q. Li, Investigation in Spatial-Temporal Domain for Face Spoof Detection, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 1538-1542. Y. Zhang, W. Shen, L. Sun and Q. Li, Position-Squeeze and Excitation Block for Facial Attribute Analysis, British Machine Vision Conference 2018, (BMVC) 2018, Newcastle, UK, September 3-6, 2018, 2012.10.30-2012.11.03 K. Zhang, Y. Xu, L. Sun, S. Qiu and Q. Li, Person Re-id by Incorporating PCA Loss in CNN, Proceedings of MultiMedia Modeling - 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, pp. 200-212. L. Sun, S. Qiu, H. Liu, M. Zhou and Q. Li, Facial age estimation through self-paced learning, 2017 IEEE Visual Communications and Image Processing (VCIP), St. Petersburg, FL, 2017, pp. 1-4. L. Sun, S. Qiu, Age Estimation via Pose-Invariant 3D Face Alinement Feature in 3 Streams of CNN, 2017 Pacific-rim Conference on Multimedia (PCM), Harerbin, China, 2017, pp. 172-183 W. Shen, L. Sun, S. Qiu, Age Estimation by Refining Label Distribution in Deep CNN, 2017 China Conference on Biometric Recognition (CCBR 2017) L. Sun, K. Qu, S. Xu, and S. Qiu, Visual tracking by the combination of global detector and local image patch matching, IEEE International Conference on Image Processing(ICIP), 2016.09.25-2016.09.28
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