P-2 Format business corporete institution

] J. Liu et al., “Identity preserving generative adversarial network for cross-domain person re-identification,” in IEEE Access, vol. 7, pp. 114021-114032, 2019.
[2] H. Fan, L. Zheng, C. Yan, and Y. Yang, “Unsupervised person re-identification: Clustering and fine-tuning,” ACM Trans. Multimedia Comput. Commun. Appl., vol. 14, issue 4, pp. 83:1-83:18, Nov. 2018.
[3] H. Yu, A. Wu, and W. Zheng, “Cross-view asymmetric metric learning for unsupervised person re-identification,” in Proc. ICCV, Venice, Italy, 2017, pp. 994-1002.
[4] V. Nguyen, T. D. Ngo, K. M. T. T. Nguyen, D. A. Duong, K. Nguyen, and D. Le, “Re-ranking for person re-identification,” in Proc. SoCPaR, Hanoi, Vietnam, 2013, pp. 304-308.

1. Mangalmay Institute of Engineering & Technology Greater Noida Department Of <Department Name> Presentation On <Project Title> Second Review Batch Members: Guided By: Name1(Roll no.) Supervisor Name Name2(Roll no.) Designation Name3(Roll no.) MIET, Greater Noida Name4(Roll no.)

2. Presentation Outline: Problem Statement Problem Description Proposed Methodology (with diagram) Details of Work Done Details of Work Left Conclusions References

3. References (format) (Min 7-8 Research Paper) [1] J. Liu et al., “Identity preserving generative adversarial network for cross-domain person re-identification,” in IEEE Access, vol. 7, pp. 114021-114032, 2019. [2] H. Fan, L. Zheng, C. Yan, and Y. Yang, “Unsupervised person re-identification: Clustering and fine-tuning,” ACM Trans. Multimedia Comput . Commun . Appl., vol. 14, issue 4, pp. 83:1-83:18, Nov. 2018. [3] H. Yu, A. Wu, and W. Zheng, “Cross-view asymmetric metric learning for unsupervised person re-identification,” in Proc. ICCV, Venice, Italy, 2017, pp. 994-1002. [4] V. Nguyen, T. D. Ngo, K. M. T. T. Nguyen, D. A. Duong, K. Nguyen, and D. Le, “Re-ranking for person re-identification,” in Proc. SoCPaR , Hanoi, Vietnam, 2013, pp. 304-308.