徐婧林

[English Version]

徐婧林

北京科技大学智能科学与技术学院副教授，北京图象图形学学会理事、副秘书长。2023年入选第九届中国科协青年人才托举工程、2022年获中国图象图形学学会优秀博士学位论文奖、2023年获中国自动化学会自然科学奖一等奖（4/5）。主要研究方向为视频动作理解、多模态细粒度分析、三维人体姿态估计与动作生成。已发表/接收18篇CCF A类国际期刊和会议论文（一作14篇，通讯1篇）。代表性一作论文包括：CVPR论文5篇（2篇Oral/1篇Spotlight/1篇Highlight）、IEEE TIP论文3篇、IEEE TKDE论文1篇、AAAI和IJCAI论文5篇。主持国家自然科学基金面上项目、青年基金、中国博士后科学基金面上项目等，已与中国电信、腾讯、蔚来等单位合作，推进科研成果的落地应用。获得2023年度北京图象图形学学会“最美女科技工作者”、2022年西北工业大学优秀博士学位论文、2020年西北工业大学优秀毕业生等荣誉。担任《电子与信息学报》编委、《计算机科学》青年编委、《人工智能》编委、CCF多媒体技术专委会委员、CSIG多媒体专委会委员、CSIG视觉大数据专委会委员、CAA模式识别与机器智能专委会委员、CSIG/BSIG女工委委员。

常年招收博士后、博士、硕士和科研实习生！（联系方式：xujinglin@ustb.edu.cn）

谷歌学术 / GitHub

News

2024-04-17：1篇论文被IJCAI24接收

2024-03-13：1篇论文被ICME24接收

2024-02-27：3篇论文被CVPR24接收

项目

国家自然科学基金面上项目，2023，项目负责人

国家自然科学基金青年基金，2021，项目负责人

中国博士后科学基金面上项目，2020，项目负责人

西北工业大学博士论文创新基金，2018，项目负责人

国家自然科学基金面上项目，2019，参与

国家自然科学基金面上项目，2017，参与

奖励与荣誉

第九届中国科协青年人才托举工程，2023

中国图象图形学学会优秀博士学位论文奖，2022

中国自动化学会自然科学奖一等奖，2023，排第四

北京图象图形学学会“最美女科技工作者”，2023

西北工业大学优秀博士学位论文，2022

西北工业大学优秀毕业生, 2020

博士研究生国家奖学金，2017、2018

西北工业大学优秀研究生，2016、2017、2018

代表性论文

	FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models Jinglin Xu, et al. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept) [Github] [arxiv] [bibtex] [中文解读]
	FineSports: A Multi-person Hierarchical Sports Video Dataset for Fine-grained Action Understanding Jinglin Xu, et al. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
	FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment Jinglin Xu, et al. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept)
	FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection Ruoyan Pi, Jinglin Xu, et al. IEEE International Conference on Multimedia and Expo (ICME), 2024 (Accept)
	FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, and Jiwen Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Oral Presentation [项目主页] [Github] [arxiv] [bibtex] [中文解读]
	Unintentional Action Localization via Counterfactual Examples Jinglin Xu, Guangyi Chen, Jiwen Lu, and Jie Zhou IEEE Transactions on Image Processing (TIP), 2022, DOI: 10.1109/TIP.2022.3166278 [Paper] [bibtex]
	Probabilistic Temporal Modeling for Unintentional Action Localization Jinglin Xu, Guangyi Chen, Nuoxing Zhou, Wei-Shi Zheng, and Jiwen Lu- IEEE Transactions on Image Processing (TIP), 2022, DOI: 10.1109/TIP.2022.3163544 [Paper] [bibtex]
	Multi-view K-Means Clustering with Adaptive Sparse Memberships and Weight Allocation Junwei Han, Jinglin Xu (corresponding author), Feiping Nie, and Xuelong Li IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 [Paper] [Github] [bibtex]
	Joint multi-view 2D convolutional neural networks for 3D object classification Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, and Junwei Han International Joint Conference on Artificial Intelligence (IJCAI) , 2020 [Paper] [bibtex]
	Deep Embedded Complementary and Interactive Information for Multi-View Classification Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, and Junwei Han AAAI Conference on Artificial Intelligence (AAAI), 2020 [Paper] [Github] [bibtex]
	Multi-view Scaling Support Vector Machines for Classification and Feature Selection Jinglin Xu, Junwei Han, Feiping Nie, and Xuelong Li IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 [Paper] [bibtex]
	Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, and Jiebo Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 [Paper] [Github] [bibtex]
	Distribution consistency based covariance metric networks for few-shot learning Wenbin Li, Jinglin Xu*, Jing Huo, Lei Wang, Yang Gao, and Jiebo Luo AAAI Conference on Artificial Intelligence (AAAI)*, 2019 [Paper] [Github] [bibtex]
	Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines Jinglin Xu, Feiping Nie, and Junwei Han International Joint Conference on Artificial Intelligence (IJCAI), 2017 [Paper] [bibtex]
	Multi-view Feature Learning with Discriminative Regularization Jinglin Xu, Junwei Han, and Feiping Nie International Joint Conference on Artificial Intelligence (IJCAI), 2017 [Paper] [bibtex]
	Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering Jinglin Xu, Junwei Han, Feiping Nie, and Xuelong Li IEEE Transactions on Image Processing (TIP), 2017 [Paper] [bibtex]
	Robust and sparse fuzzy k-means clustering Jinglin Xu, Junwei Han, Kai Xiong, and Feiping Nie International Joint Conference on Artificial Intelligence (IJCAI), 2016 [Paper] [bibtex]
	Discriminatively embedded k-means for multi-view clustering Jinglin Xu, Junwei Han, and Feiping Nie IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Spotlight Presentation [Paper] [bibtex]