个人简历

2018～2019年在美国加州大学伯克利分校进行博士后研究。2018年博士毕业于英国伦敦玛丽女王大学电子工程与计算机学系。\r
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科研成果\r
于茜博士在手绘草图上的研究成果多次发表在计算机视觉领域的高水平国际期刊和国际会议（如IJCV/CVPR/ICCV/ECCV等），相关工作的谷歌学者引用达1200余次。在草图识别任务上，提出的Sketch-a-Net工作曾荣获2015年英国计算机视觉大会(BMVC)的最佳科学论文，该研究成果被包括BBC在内的10余家海内外媒体报道。曾担任国际会议MLSP 2021 Tutorial Session Chair，曾组织CCF-CV走进高校之走进北航系列报告，以及ICCV’21和ECCV'22“面向人类表达的草图”系列研讨会。主持或参与多项国家自然科学基金、科技部重点研发计划、省部级重点研发计划。目前担任CCF-CV和CSIG-BVD专委会委员。

研究领域

主要研究方向为计算机视觉和深度学习，包括跨模态的图像检索和生成，以及对人类手绘的认知。""

近期论文

STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding Rui Su, Qian Yu, Dong Xu. IEEE International Conference on Computer Vision (ICCV), 2021.\r
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Fine-Grained Instance-Level Sketch-Based Image Retrieval Qian Yu*, Jifei Song*, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales. International Journal of Computer Vision (IJCV), 2021.\r
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Human-centric Spatio-temporal Video grounding with Visual Transformers Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.\r
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Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management Chaofeng Wang, Qian Yu, Kincho H. Law, Frank McKenna, Stella X. Yu, Ertugrul Taciroglu, Adam Zsarn{\\'o}czay, Wael Elhaddad, Barbaros Cetiner. Automation in Construction, 2021.\r
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Unsupervised Sketch to Photo Synthesis Runtao Liu*, Qian Yu*, Stella X. Yu. European Conference on Computer Vision (ECCV), 2020. Oral\r
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Rapid visual screening of soft-story buildings from street view images using deep learning classification Qian Yu, Chaofeng Wang, Frank McKenna, Stella X. Yu, Ertugrul Taciroglu, Barbaros Cetiner, Kincho H. Law. Earthquake Engineering and Engineering Vibration, 2020.\r
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Building Information Modeling and Classification by Visual Learning At A City Scale Qian Yu, Chaofeng Wang, Barbaros Cetiner, Stella X. Yu, Frank McKenna, Ertugrul Taciroglu, Kincho H. Law. AI + HADR workshop @ NeurIPS 2019.\r
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SketchyScene: Richly-Annotated Scene Sketches Changqing Zou*, Qian Yu*, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang. European Conference on Computer Vision (ECCV), 2018.\r
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Sketch-a-Net: A Deep Neural Network that Beats Humans Qian Yu, Yongxin Yang, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales. International Journal of Computer Vision (IJCV), 2017.\r
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Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval Jifei Song*, Qian Yu*, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales. IEEE International Conference on Computer Vision (ICCV), 2017.\r
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Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen-Change Loy. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Oral\r
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Sketch-a-Net that Beats Humans Qian Yu*, Yongxin Yang*, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales. British Machine Vision Conferenc (BMVC), 2015. Best Scientific Paper