1. G. Cheng and J. Han, “A survey on object detection in optical remote sensing images,” ISPRS Journal of Photogrammetry and Remote Sensing. 2016.

2. G. Li and Y. Yu, “Deep contrast learning for salient object detection,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016.

3. M. Shah and R. Kapdi, “Object detection using deep neural networks,” in Proceedings of the 2017 International Conference on Intelligent Computing and Control Systems, ICICCS 2017, 2017.

4. J. Dean et al., “Large scale distributed deep networks,” in Advances in Neural Information Processing Systems, 2012.

5. S. Xie and Z. Tu, “Holistically-Nested Edge Detection,” Int. J. Comput. Vis., 2017.

6. X. Kong, B. Xin, Y. Wang, and G. Hua, “Collaborative deep reinforcement learning for joint object search,” in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017

7. P. Tang, X. Wang, X. Bai, and W. Liu, “Multiple instance detection network with online instance classifier refinement,” in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017

8. N. Xu, B. Price, S. Cohen, J. Yang, and T. Huang, “Deep interactive object selection,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016.

9. J. Hosang, R. Benenson, and B. Schiele, “Learning non-maximum suppression,” in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017.

10. S. Balamurugan, K. Amarnath, J.Saravanan and S. Sangeeth Kumar, "Scheduling IoT on to the Cloud : A New Algorithm", European Journal of Applied Sciences 9 (5): 249-257, 2017.

11. S.Balamurugan et.al., “Smart Healthcare: A New Paradigm”, European Journal of Applied Sciences 9 (4), 212-218, 2017