| Densebox: Unifying landmark localization with end to end object detection L Huang, Y Yang, Y Deng, Y Yu arXiv preprint arXiv:1509.04874, 2015 | 625 | 2015 |
| Deep multiple instance learning for image classification and auto-annotation J Wu, Y Yu, C Huang, K Yu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 516 | 2015 |
| Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks C Cao, X Liu, Y Yang, Y Yu, J Wang, Z Wang, Y Huang, L Wang, C Huang, ... Proceedings of the IEEE international conference on computer vision, 2956-2964, 2015 | 513 | 2015 |
| High-level semantic feature detection: A new perspective for pedestrian detection W Liu, S Liao, W Ren, W Hu, Y Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 502 | 2019 |
| Ssap: Single-shot instance segmentation with affinity pyramid N Gao, Y Shan, Y Wang, X Zhao, Y Yu, M Yang, K Huang Proceedings of the IEEE/CVF international conference on computer vision, 642-651, 2019 | 294 | 2019 |
| A deep visual correspondence embedding model for stereo matching costs Z Chen, X Sun, L Wang, Y Yu, C Huang Proceedings of the IEEE International Conference on Computer Vision, 972-980, 2015 | 243 | 2015 |
| Boosted local structured hog-lbp for object localization J Zhang, K Huang, Y Yu, T Tan CVPR 2011, 1393-1400, 2011 | 215 | 2011 |
| Salient coding for image classification Y Huang, K Huang, Y Yu, T Tan CVPR 2011, 1753-1760, 2011 | 180 | 2011 |
| Object detection by labeling superpixels J Yan, Y Yu, X Zhu, Z Lei, SZ Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 141 | 2015 |
| Parse geometry from a line: Monocular depth estimation with partial laser observation Y Liao, L Huang, Y Wang, S Kodagoda, Y Yu, Y Liu 2017 IEEE international conference on robotics and automation (ICRA), 5059-5066, 2017 | 128 | 2017 |
| Systems and methods for end-to-end object detection L Huang, Y Yang, Y Deng, YU Yinan US Patent 9,881,234, 2018 | 105 | 2018 |
| A novel algorithm for view and illumination invariant image matching Y Yu, K Huang, W Chen, T Tan IEEE transactions on image processing 21 (1), 229-240, 2011 | 103 | 2011 |
| Early hierarchical contexts learned by convolutional networks for image segmentation Z Wu, Y Huang, Y Yu, L Wang, T Tan 2014 22nd International Conference on Pattern Recognition, 1538-1543, 2014 | 53 | 2014 |
| Object detection by context and boosted HOG-LBP Y Yu, J Zhang, Y Huang, S Zheng, W Ren, C Wang, K Huang, T Tan ECCV workshop on PASCAL VOC, 2010 | 48 | 2010 |
| Learning convolutional nonlinear features for k nearest neighbor image classification W Ren, Y Yu, J Zhang, K Huang 2014 22nd international conference on pattern recognition, 4358-4363, 2014 | 28 | 2014 |
| A Harris-like scale invariant feature detector Y Yu, K Huang, T Tan Computer Vision–ACCV 2009: 9th Asian Conference on Computer Vision, Xi’an …, 2010 | 24 | 2010 |
| Elements of effective deep reinforcement learning towards tactical driving decision making J Liu, P Hou, L Mu, Y Yu, C Huang arXiv preprint arXiv:1802.00332, 2018 | 17 | 2018 |
| Feature coding via vector difference for image classification X Zhao, Y Yu, Y Huang, K Huang, T Tan 2012 19th IEEE International Conference on Image Processing, 3121-3124, 2012 | 10 | 2012 |
| A novel vision-based framework for real-time lane detection and tracking S Yang, J Wu, Y Shan, Y Yu, S Zhang SAE Technical Paper, 2019 | 7 | 2019 |
| An empirical study of visual features for part based model J Zhang, Y Yu, S Zheng, K Huang The First Asian Conference on Pattern Recognition, 219-223, 2011 | 3 | 2011 |
Yongzhen HuangSchool of Artificial Intelligence, Beijing Normal UniversityVerified email at bnu.edu.cn
