Selected Publications
1. Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang*, "Robust Visual Tracking Using Exemplar-based Detectors," IEEE Transactions on Circuits and Systems for Video Technology, to appear, 2016
2. Changxin Gao*, Nong Sang, Rui Huang. "Biologically Inspired Scene Context for Object Detection Using a Single Instance," PLoS ONE, 2014, 9(5):e98477
3. Changxin Gao, Nong Sang*, and Rui Huang, "Instance-based attention: where could humans look first when searching for an object instance," Optics Letters, 2012, 37(1):76-78.
4. Changxin Gao, Nong Sang, and Qiling Tang, "On selection and combination of weak learners in AdaBoost," Pattern Recognition letters, 2010, 31(9):991-1001.
5. Changxin Gao, and Nong Sang, "Biologically inspired template matching using scene context," Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), Colorado Springs, United States, 2011.
6. Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang. "Exemplar-based Linear Discriminant Analysis for Robust Object Tracking," ICIP, 2014, pp.388-392.
7. Changxin Gao, Nong Sang, Rui Huang, "Online Transfer Boosting for object tracking," Proceedings of International Conference on Pattern Recognition (ICPR), 2012, pp:906-909.
8. Jin-Gang Yu, Gui-Song Xia, Changxin Gao*, Ashok Samal, "A Computational Model for Object-Based Visual Saliency: Spreading Attention along Gestalt Cues," IEEE Transactions on Multimedia, 18(2):273-286, 2016
9. Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, "Multi-target Tracking Using Hough Forest Random Field," IEEE Transactions on Circuits and Systems for Video Technology, to appear, 2016.
10. Jin-Gang Yu, Changxin Gao*, Jinwen Tian. "Collaborative multicue fusion using the cross-diffusion process for salient object detection," Journal of the Optical Society of America A-Optics Image Science and Vision, 33(3):404-415, 2016.
11. Chang Han, Hongyan Zhang*, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang. "A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1):439-453, 2016.
