| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2114 | 2015 |
| The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, LČ Zajc, ... European Conference on Computer Vision, 3-53, 2018 | 915 | 2018 |
| Multi-kernel correlation filter for visual tracking M Tang, J Feng Proceedings of the IEEE international conference on computer vision, 3038-3046, 2015 | 192 | 2015 |
| Robust tracking via weakly supervised ranking SVM Y Bai, M Tang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1854-1861, 2012 | 151 | 2012 |
| Hierarchical and networked vehicle surveillance in ITS: a survey B Tian, BT Morris, M Tang, Y Liu, Y Yao, C Gou, D Shen, S Tang IEEE Transactions on Intelligent Transportation Systems 16 (2), 557-580, 2015 | 145 | 2015 |
| Pixel-wise deep sequence learning for moving object detection Y Chen, J Wang, B Zhu, M Tang, H Lu IEEE Transactions on Circuits and Systems for Video Technology, 2017 | 111 | 2017 |
| High-speed tracking with multi-kernel correlation filters M Tang, B Yu, F Zhang, J Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 106 | 2018 |
| Fast deep matting for portrait animation on mobile phone B Zhu, Y Chen, J Wang, S Liu, B Zhang, M Tang Proceedings of the 25th ACM international conference on Multimedia, 297-305, 2017 | 81 | 2017 |
| Applying neighborhood consistency for fast clustering and kernel density estimation K Zhang, M Tang, JT Kwok 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 62 | 2005 |
| A new robust circular Gabor based object matching by using weighted Hausdorff distance Z Zhu, M Tang, H Lu Pattern Recognition Letters 25 (4), 515-523, 2004 | 43 | 2004 |
| General scheme of region competition based on scale space M Tang, S Ma IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (12), 1366 …, 2001 | 41 | 2001 |
| Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network X Zhao, Y Chen, M Tang, J Wang 2017 IEEE International Conference on Multimedia and Expo (ICME), 343-348, 2017 | 39 | 2017 |
| Object tracking via robust multitask sparse representation Y Bai, M Tang IEEE Signal Processing Letters 21 (8), 909-913, 2014 | 34 | 2014 |
| Accelerated convergence using dynamic mean shift K Zhang, JT Kwok, M Tang European Conference on Computer Vision, 257-268, 2006 | 34 | 2006 |
| Robust tracking with discriminative ranking lists M Tang, X Peng IEEE Transactions on Image Processing 21 (7), 3273-3281, 2012 | 30 | 2012 |
| Model-based adaptive enhancement of far infrared image sequences M Tang, SD Ma, J Xiao Pattern recognition letters 21 (9), 827-835, 2000 | 30 | 2000 |
| A novel registration method for SAR and SPOT images L Shu, T Tan, M Tang, C Pan IEEE International Conference on Image Processing 2005 2, II-213, 2005 | 29 | 2005 |
| Vehicle detection grammars with partial occlusion handling for traffic surveillance B Tian, M Tang, FY Wang Transportation Research Part C: Emerging Technologies 56, 80-93, 2015 | 25 | 2015 |
| Robust visual tracking via ranking SVM Y Bai, M Tang 2011 18th IEEE International Conference on Image Processing, 517-520, 2011 | 11 | 2011 |
| Robust visual tracking via augmented kernel SVM Y Bai, M Tang Image and Vision Computing 32 (8), 465-475, 2014 | 9 | 2014 |
