| Learning to predict bus arrival time from heterogeneous measurements via recurrent neural network J Pang, J Huang, Y Du, H Yu, Q Huang, B Yin IEEE Transactions on Intelligent Transportation Systems 20 (9), 3283-3293, 2018 | 78 | 2018 |
| Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition C Zhang, J Liu, C Liang, Z Xue, J Pang, Q Huang Computer Vision and Image Understanding 123, 14-22, 2014 | 67 | 2014 |
| Transferring boosted detectors towards viewpoint and scene adaptiveness J Pang, Q Huang, S Yan, S Jiang, L Qin IEEE transactions on image processing 20 (5), 1388-1400, 2011 | 66 | 2011 |
| Set-label modeling and deep metric learning on person re-identification H Liu, B Ma, L Qin, J Pang, C Zhang, Q Huang Neurocomputing 151, 1283-1292, 2015 | 36 | 2015 |
| Multiple instance boost using graph embedding based decision stump for pedestrian detection J Pang, Q Huang, S Jiang Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 36 | 2008 |
| Beyond explicit codebook generation: Visual representation using implicitly transferred codebooks C Zhang, J Cheng, J Liu, J Pang, Q Huang, Q Tian IEEE Transactions on Image Processing 24 (12), 5777-5788, 2015 | 34 | 2015 |
| Object categorization in sub-semantic space C Zhang, J Cheng, J Liu, J Pang, C Liang, Q Huang, Q Tian Neurocomputing 142, 248-255, 2014 | 31 | 2014 |
| Unsupervised Web Topic Detection Using A Ranked Clustering-like Pattern Across Similarity Cascades J Pang, F Jia, C Zhang, W Zhang, Q Huang, B Yin IEEE Trans. on Multimedia, 2015 | 30 | 2015 |
| Treat samples differently: Object tracking with semi-supervised online covboost G Li, L Qin, Q Huang, J Pang, S Jiang 2011 International Conference on Computer Vision, 627-634, 2011 | 28 | 2011 |
| Online web video topic detection and tracking with semi-supervised learning G Li, S Jiang, W Zhang, J Pang, Q Huang Multimedia Systems 22, 115-125, 2016 | 22 | 2016 |
| Unsupervised pixel-level crack detection based on generative adversarial network L Duan, H Geng, J Pang, J Zeng Proceedings of the 2020 5th international conference on multimedia systems …, 2020 | 17 | 2020 |
| Webpage saliency prediction with multi-features fusion J Li, L Su, B Wu, J Pang, C Wang, Z Wu, Q Huang 2016 IEEE International Conference on Image Processing (ICIP), 674-678, 2016 | 17 | 2016 |
| Fusing cross-media for topic detection by dense keyword groups W Zhang, T Chen, G Li, J Pang, Q Huang, W Gao Neurocomputing 169, 169-179, 2015 | 15 | 2015 |
| Online selection of the best k-feature subset for object tracking G Li, Q Huang, J Pang, S Jiang, L Qin Journal of Visual Communication and Image Representation 23 (2), 254-263, 2012 | 15 | 2012 |
| Discovering fine-grained spatial pattern from taxi trips: Where point process meets matrix decomposition and factorization J Pang, J Huang, X Yang, Z Wang, H Yu, Q Huang, B Yin IEEE Transactions on Intelligent Transportation Systems 19 (10), 3208-3219, 2017 | 14 | 2017 |
| Topic detection in cross-media: a semi-supervised co-clustering approach Z Xue, G Li, W Zhang, J Pang, Q Huang International Journal of Multimedia Information Retrieval 3, 193-205, 2014 | 14 | 2014 |
| Image classification using boosted local features with random orientation and location selection C Zhang, J Cheng, Y Zhang, J Liu, C Liang, J Pang, Q Huang, Q Tian Information Sciences 310, 118-129, 2015 | 13 | 2015 |
| Robust latent poisson deconvolution from multiple features for web topic detection J Pang, F Tao, C Zhang, W Zhang, Q Huang, B Yin IEEE Transactions on Multimedia 18 (12), 2482-2493, 2016 | 12 | 2016 |
| Monocular tracking 3D people by Gaussian process spatio-temporal variable model J Pang, L Qing, Q Huang, S Jiang, W Gao 2007 IEEE International Conference on Image Processing 5, V-41-V-44, 2007 | 11 | 2007 |
| Justifying the importance of color cues in object detection: a case study on pedestrian JS Jin, C Xu, M Xu, Q Wang, J Pang, L Qin, S Jiang, Q Huang The Era of Interactive Media, 387-397, 2013 | 10 | 2013 |
Qingming HuangUniversity of the Chinese Academy of Sciences在 ucas.ac.cn 的电子邮件经过验证
