Conditional random fields as recurrent neural networks S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ... Proceedings of the IEEE international conference on computer vision, 1529-1537, 2015 | 2307 | 2015 |
Cnn-rnn: A unified framework for multi-label image classification J Wang, Y Yang, J Mao, Z Huang, C Huang, W Xu Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 681 | 2016 |
Robust object tracking by hierarchical association of detection responses C Huang, B Wu, R Nevatia Proceedings of the 10th European Conference on Computer Vision: Part II, 788-801, 2008 | 636 | 2008 |
Learning to associate: Hybridboosted multi-target tracker for crowded scene Y Li, C Huang, R Nevatia 2009 IEEE conference on computer vision and pattern recognition, 2953-2960, 2009 | 632 | 2009 |
Fast rotation invariant multi-view face detection based on real adaboost B Wu, H Ai, C Huang, S Lao Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE …, 2004 | 516 | 2004 |
High-performance rotation invariant multiview face detection C Huang, H Ai, Y Li, S Lao IEEE Transactions on pattern analysis and machine intelligence 29 (4), 671-686, 2007 | 485 | 2007 |
Learning from massive noisy labeled data for image classification T Xiao, T Xia, Y Yang, C Huang, X Wang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 471 | 2015 |
Multi-target tracking by on-line learned discriminative appearance models CH Kuo, C Huang, R Nevatia Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 685-692, 2010 | 381 | 2010 |
Beyond spatial pyramids: Receptive field learning for pooled image features Y Jia, C Huang, T Darrell 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3370-3377, 2012 | 333 | 2012 |
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 | 329 | 2015 |
Vector boosting for rotation invariant multi-view face detection C Huang, H Ai, Y Li, S Lao Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on 1 …, 2005 | 303 | 2005 |
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 | 275 | 2015 |
Text flow: A unified text detection system in natural scene images S Tian, Y Pan, C Huang, S Lu, K Yu, CL Tan Proceedings of the IEEE international conference on computer vision, 4651-4659, 2015 | 220 | 2015 |
Targeting ultimate accuracy: Face recognition via deep embedding J Liu, Y Deng, T Bai, Z Wei, C Huang arXiv preprint arXiv:1506.07310, 2015 | 198 | 2015 |
Mask scoring r-cnn Z Huang, L Huang, Y Gong, C Huang, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 194 | 2019 |
Mancs: A multi-task attentional network with curriculum sampling for person re-identification C Wang, Q Zhang, C Huang, W Liu, X Wang Proceedings of the European Conference on Computer Vision (ECCV), 365-381, 2018 | 190 | 2018 |
Real time facial expression recognition with adaboost Y Wang, H Ai, B Wu, C Huang Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004 | 181 | 2004 |
Boosting nested cascade detector for multi-view face detection C Huang, H Al, B Wu, S Lao Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004 | 163 | 2004 |
Learning affinities and dependencies for multi-target tracking using a CRF model B Yang, C Huang, R Nevatia CVPR 2011, 1233-1240, 2011 | 153 | 2011 |
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 | 151 | 2015 |