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，中国图象图形学学会青托俱乐部副主席。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20篇 ACM/IEEE Trans.和CCF A类国际期刊和会议论文（一作15篇，通讯2篇）。代表性一作论文包括：CVPR论文5篇（2篇Oral/1篇Spotlight/1篇Highlight）、IJCV论文1篇、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《Chinese Journal of Electronics》青年编委、《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

2025-01-25：1篇论文被TPAMI 2025接收

2025-01-23：2篇论文被ICLR 2025接收

2024-10-31：1篇论文被IEEE TIP 2024接收

2024-09-03：1篇论文被IEEE TIP 2024接收

2024-07-16：1篇论文被ACM MM 2024接收

2024-06-03：1篇论文被IJCV 2024接收

2024-05-09：1篇论文被IEEE TNNLS 2024接收

项目

北京市自然科学基金面上项目，2025，项目负责人

国家自然科学基金面上项目，2023，项目负责人

国家自然科学基金重点项目，2024，合作单位负责人

北京市自然科学基金重点项目，2024，合作单位负责人

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

奖励与荣誉

中国图象图形学学会石青云女科学家奖，2024

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

中国图象图形学学会自然科学奖二等奖，2024，排第三

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

	Transferable Unintentional Action Localization with Language-guided Intention Translation Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu* IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 [Paper] [Github]
	Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng* International Conference on Learning Representations (ICLR), 2025 [Paper] [Github] [中文解读]
	MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng* International Conference on Learning Representations (ICLR), 2025 [Paper] [中文解读]
	Pro2Diff: Proposal Propagation for Multi-Object Tracking via Diffusion Models Hongmin Liu, Canbin Zhang, Bin Fan, Jinglin Xu* IEEE Transactions on Image Processing (TIP), 2024 [Paper]
	SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization Hongbo Sun, Xiangteng He, Jinglin Xu, Yuxin Peng* IEEE Transactions on Image Processing (TIP), 2024 [Paper] [中文解读]
	SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection Zishuo Wang, Wenhao Zhou, Jinglin Xu, Yuxin Peng* ACM International Conference on Multimedia (ACM MM), 2024 [Paper] [Github]
	Procedure-aware Action Quality Assessment: Datasets and Performance Evaluation Jinglin Xu, Yongming Rao, Jie Zhou, Jiwen Lu* International Journal of Computer Vision (IJCV), 2024 [Paper]
	ScalableTrack: Scalable One-stream Tracking via Stage-continual Learning Hongmin Liu, Yuefeng Cai, Bin Fan, Jinglin Xu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 [Paper]
	FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu, Yuxin Peng* 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024 [Paper] [Github]
	FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models Jinglin Xu, Yijie Guo, Yuxin Peng* 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, Guohao Zhao, Sibo Yin, Wenhao Zhou, Yuxin Peng* 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept) [Github] [arxiv] [bibtex] [中文解读]
	FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment Jinglin Xu, Sibo Yin, Guohao Zhao, Zishuo Wang, Yuxin Peng* 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Accept) [Github] [arxiv] [bibtex] [中文解读]
	FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection Ruoyan Pi, Jinglin Xu, Yuxin Peng* IEEE International Conference on Multimedia and Expo (ICME), 2024 (Accept) [Github] [arxiv] [bibtex] [中文解读]
	FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment Jinglin Xu#, Yongming Rao#, Xumin Yu, Guangyi Chen, Jie Zhou, 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, 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, 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, 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, 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, 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, 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, Junwei Han International Joint Conference on Artificial Intelligence (IJCAI), 2017 [Paper] [bibtex]
	Multi-view Feature Learning with Discriminative Regularization Jinglin Xu, Junwei Han, 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, Xuelong Li IEEE Transactions on Image Processing (TIP)*, 2017 [Paper] [bibtex]
	Robust and sparse fuzzy k-means clustering Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie International Joint Conference on Artificial Intelligence (IJCAI)*, 2016 [Paper] [bibtex]
	Discriminatively embedded k-means for multi-view clustering Jinglin Xu, Junwei Han, Feiping Nie IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Spotlight Presentation* [Paper] [bibtex]