| Regionlets for generic object detection X Wang, M Yang, S Zhu, Y Lin Proceedings of the IEEE international conference on computer vision, 17-24, 2013 | 459 | 2013 |
| Large-scale image classification: fast feature extraction and svm training Y Lin, F Lv, S Zhu, M Yang, T Cour, K Yu, L Cao, T Huang CVPR 2011, 1689-1696, 2011 | 445 | 2011 |
| Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers F Yang, W Choi, Y Lin Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 427 | 2016 |
| Data-driven 3d voxel patterns for object category recognition Y Xiang, W Choi, Y Lin, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 273 | 2015 |
| Learning image representations from the pixel level via hierarchical sparse coding K Yu, Y Lin, J Lafferty CVPR 2011, 1713-1720, 2011 | 273 | 2011 |
| Deep metric learning with angular loss J Wang, F Zhou, S Wen, X Liu, Y Lin Proceedings of the IEEE International Conference on Computer Vision, 2593-2601, 2017 | 240 | 2017 |
| The apolloscape dataset for autonomous driving X Huang, X Cheng, Q Geng, B Cao, D Zhou, P Wang, Y Lin, R Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 237 | 2018 |
| Subcategory-aware convolutional neural networks for object proposals and detection Y Xiang, W Choi, Y Lin, S Savarese 2017 IEEE winter conference on applications of computer vision (WACV), 924-933, 2017 | 237 | 2017 |
| Object-centric spatial pooling for image classification O Russakovsky, Y Lin, K Yu, L Fei-Fei European conference on computer vision, 1-15, 2012 | 224 | 2012 |
| Multiplicative updates for nonnegative quadratic programming F Sha, Y Lin, LK Saul, DD Lee Neural computation 19 (8), 2004-2031, 2007 | 207 | 2007 |
| Kernel pooling for convolutional neural networks Y Cui, F Zhou, J Wang, X Liu, Y Lin, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 191 | 2017 |
| Fine-grained categorization and dataset bootstrapping using deep metric learning with humans in the loop Y Cui, F Zhou, Y Lin, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 174 | 2016 |
| Hyper-class augmented and regularized deep learning for fine-grained image classification S Xie, T Yang, X Wang, Y Lin Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 166 | 2015 |
| Embedding label structures for fine-grained feature representation X Zhang, F Zhou, Y Lin, S Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 161 | 2016 |
| Fine-grained visual categorization via multi-stage metric learning Q Qian, R Jin, S Zhu, Y Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 146 | 2015 |
| Fully convolutional attention networks for fine-grained recognition X Liu, T Xia, J Wang, Y Yang, F Zhou, Y Lin arXiv preprint arXiv:1603.06765, 2016 | 145 | 2016 |
| Dense object reconstruction with semantic priors S Yingze Bao, M Chandraker, Y Lin, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 137 | 2013 |
| Semantic-aware co-indexing for image retrieval S Zhang, M Yang, X Wang, Y Lin, Q Tian Proceedings of the IEEE international conference on computer vision, 1673-1680, 2013 | 132 | 2013 |
| Fine-grained image classification by exploring bipartite-graph labels F Zhou, Y Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 101 | 2016 |
| Multi-component models for object detection C Gu, P Arbeláez, Y Lin, K Yu, J Malik European Conference on Computer Vision, 445-458, 2012 | 89 | 2012 |
Shenghuo Zhu (朱胜火）AibeeVerified email at aibee.com
