朱瓏（Leo Zhu），男，加州大學洛杉磯分校統計學博士，師從艾倫·尤爾（Alan Yuille）教授，從事計算機視覺的統計建模和計算的研究。之后在麻省理工學院人工智能實驗室擔任博士后研究員，在紐約大學Courant數學研究所擔任研究員。現任上海依圖網絡科技有限公司聯合創始人兼CEO。
人物經歷
早年經歷
2003－2008加州大學洛杉磯分校（UCLA），統計學博士，導師艾倫·尤爾（Alan Yuille）教授。
2010－2011紐約大學（NYU），Courant數學研究所。
2008－2010麻省理工學院（MIT），人工智能實驗室。
工作經歷
2012至今上海依圖網絡科技有限公司，聯合創始人兼CEO。
獲得榮譽
主要成就
個人著作
“Recursive composition for modeling, inference and learning in computer vision”
Long Zhu, Yuanhao Chen, Alan Yuille. Recursive Compositional Models for Vision: Description and Review of Recent Work. Journal of Mathematical Imaging and Vision 2011.
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille. Recursive Segmentation and Recognition Templates for Image Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2011.
Long Zhu, Yuanhao Chen, Chenxi Lin, Alan Yuille. Max-Margin Learning of Hierarchical Configural Deformable Templates (HCDT) for Efficient Object Parsing and Pose Estimation. International Journal of Computer Vision (IJCV). 2010.
Long Zhu, Yuanhao Chen, Alan Yuille. Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2009.
Long Zhu, Yuanhao Chen, Alan Yuille. Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2008.
Long Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille. Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection . IEEE Conf. on Computer Vision and Pattern Recognition (cvpr). 2010.
Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis. Advances in Neural Information Processing Systems (NIPS). 2010.
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille. Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. Proc. Of the European Conference on Computer Vision (ECCV). 2008.
參考資料 >
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