| 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 | 1898 | 2015 |
| Beyond local search: Tracking objects everywhere with instance-specific proposals G Zhu, F Porikli, H Li Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 225 | 2016 |
| The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the ieee international conference on computer vision …, 2015 | 140 | 2015 |
| Tracking randomly moving objects on edge box proposals G Zhu, F Porikli, H Li arXiv preprint arXiv:1507.08085, 2015 | 61 | 2015 |
| Robust visual tracking with deep convolutional neural network based object proposals on pets G Zhu, F Porikli, H Li Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 49 | 2016 |
| The visual object tracking vot2015 challenge results K Matej, J Matas, A Leonardis, M Felsberg, L Čehovin, G Fernández, ... Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ICCV), 2015 | 19 | 2015 |
| Lie-Struck: Affine tracking on Lie groups using structured SVM G Zhu, F Porikli, Y Ming, H Li 2015 IEEE Winter Conference on Applications of Computer Vision, 63-70, 2015 | 8 | 2015 |
| Robust super-resolution reconstruction based on adaptive regularization F Suo, F Hu, G Zhu 2011 International Conference on Wireless Communications and Signal …, 2011 | 7 | 2011 |
| Model-free multiple object tracking with shared proposals G Zhu, F Porikli, H Li Asian Conference on Computer Vision, 288-304, 2016 | 5 | 2016 |
| Not all negatives are equal: Learning to track with multiple background clusters G Zhu, F Porikli, H Li IEEE Transactions on Circuits and Systems for Video Technology 28 (2), 314-326, 2016 | 5 | 2016 |
| Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters A Drory, G Zhu, H Li, R Hartley Computer Vision and Image Understanding 159, 116-127, 2017 | 4 | 2017 |
| The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results M Kristan, L Čehovin, A Lukežič, J Matas, A Leonardis, M Felsberg, ... Proceedings of the IEEE International Conference on Computer Vision, 639-651, 2016 | 2 | 2016 |
| Object cut as minimum ratio cycle in a superpixel boundary graph G Zhu, Y Ming, H Li 2013 International Conference on Digital Image Computing: Techniques and …, 2013 | 1 | 2013 |
| Compressive tracking with incremental multivariate Gaussian distribution DD Li, G Wen, G Zhu, Q Zeng Journal of Electronic Imaging 25 (5), 053015, 2016 | | 2016 |
| An Exploration into Model-Free Online Visual Object Tracking G Zhu The Australian National University, 2016 | | 2016 |
| Object category detection by incorporating mid-level grouping cues G Zhu, Y Ming, H Li 2014 IEEE International Conference on Image Processing (ICIP), 1604-1608, 2014 | | 2014 |
| Super-resolution Reconstruction Based on Clustering and Gaussian Process Regression HUA Shu-na, W Pei-kang, ZHU Gao 微电子学与计算机 29 (10), 26-29, 2012 | | 2012 |
| Super-resolution Image Reconstruction Based on Variation Regularization G Zhu, PK Wang, HH Song Jisuanji Gongcheng/ Computer Engineering 38 (17), 2012 | | 2012 |
Matej KristanFull Professor at Faculty of computer and information science, University of LjubljanaVerified email at fri.uni-lj.si
