| Latent hierarchical structural learning for object detection L Zhu, Y Chen, A Yuille, W Freeman 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 382 | 2010 |
| Part and appearance sharing: Recursive Compositional Models for multi-view L Zhu, Y Chen, A Torralba, W Freeman, A Yuille 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 138 | 2010 |
| Unsupervised structure learning: Hierarchical recursive composition, suspicious coincidence and competitive exclusion L Zhu, C Lin, H Huang, Y Chen, A Yuille Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 136 | 2008 |
| Learning a hierarchical deformable template for rapid deformable object parsing L Zhu, Y Chen, A Yuille IEEE transactions on pattern analysis and machine intelligence 32 (6), 1029-1043, 2009 | 109 | 2009 |
| Max margin and/or graph learning for parsing the human body L Zhu, Y Chen, Y Lu, C Lin, A Yuille 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 105 | 2008 |
| Unsupervised learning of probabilistic grammar-markov models for object categories L Zhu, Y Chen, A Yuille IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (1), 114-128, 2008 | 91 | 2008 |
| Rapid inference on a novel and/or graph for object detection, segmentation and parsing Y Chen, L Zhu, C Lin, H Zhang, AL Yuille Advances in neural information processing systems 20, 2007 | 82 | 2007 |
| Rationale, design and organization of the Second Chinese Cardiac Study (CCS-2): a randomized trial of clopidogrel plus aspirin, and of metoprolol, among patients with suspected … ZM Chen, Second Chinese Cardiac Study (CCS-2) Collaborative Group European Journal of Cardiovascular Prevention & Rehabilitation 7 (6), 435-441, 2000 | 69 | 2000 |
| Unsupervised learning of a probabilistic grammar for object detection and parsing Y Chen, L Zhu, AL Yuille Advances in neural information processing systems 19, 2006 | 67 | 2006 |
| Recursive segmentation and recognition templates for image parsing L Zhu, Y Chen, Y Lin, C Lin, A Yuille IEEE transactions on pattern analysis and machine intelligence 34 (2), 359-371, 2011 | 50 | 2011 |
| Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation, and recognition using knowledge propagation Y Chen, L Zhu, A Yuille, H Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (10), 1747 …, 2009 | 50 | 2009 |
| 传感器网络中一种分布式数据汇聚层次路由算法 林亚平， 王雷， 陈宇， 张锦， 陈治平， 童调生 电子学报 32 (11), 1801-1805, 2004 | 46 | 2004 |
| Automatic classification of photographs and graphics Y Chen, Z Li, M Li, WY Ma 2006 IEEE International Conference on Multimedia and Expo, 973-976, 2006 | 42 | 2006 |
| Recursive segmentation and recognition templates for 2d parsing L Zhu, Y Chen, Y Lin, C Lin, AL Yuille Advances in neural information processing systems 21, 2008 | 40 | 2008 |
| Byssinosis in Guangzhou, China. CQ Jiang, TH Lam, C Kong, CA Cui, HK Huang, DC Chen, JM He, ... Occupational and environmental medicine 52 (4), 268-272, 1995 | 40 | 1995 |
| Max margin learning of hierarchical configural deformable templates (hcdts) for efficient object parsing and pose estimation L Zhu, Y Chen, C Lin, A Yuille International journal of computer vision 93, 1-21, 2011 | 35 | 2011 |
| Recursive compositional models for vision: Description and review of recent work L Zhu, Y Chen, A Yuille Journal of Mathematical Imaging and Vision 41, 122-146, 2011 | 27 | 2011 |
| Structure-perceptron learning of a hierarchical log-linear model L Zhu, Y Chen, X Ye, A Yuille 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 26 | 2008 |
| Feasibility of washing as a remediation technology for the heavy metals-polluted soils left by chemical plant. LIU Lei, H Shao-ping, C Ying-xu, L Hang Yingyong Shengtai Xuebao 21 (6), 2010 | 22 | 2010 |
| Unsupervised learning of probabilistic object models (poms) for object classification, segmentation and recognition Y Chen, L Zhu, A Yuille, H Zhang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 19 | 2008 |
