Combining Hand-Crafted and Deeply Learned Features for Logo Detection over Large Scale Imaginary Data

Project Member(s): Yang, Y.

Funding or Partner Organisation: D2D CRC LTD
D2D CRC LTD

Start year: 2017

Summary: The student plans to work on designing a logo detector that can deal with big logos as well as small logos and localize them accurately and efficiently, which would help in making more inteligent machines that can perceive and comprehend the environment as we do.

Publications:

Zhong, Z, Zheng, L, Zheng, Z, Li, S & Yang, Y 2019, 'CamStyle: A Novel Data Augmentation Method for Person Re-Identification', IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1176-1190.
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Luo, Y, Zheng, Z, Zheng, L, Guan, T, Yu, J & Yang, Y 1970, 'Macro-Micro Adversarial Network for Human Parsing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision 2018, Munich, Germany, pp. 424-440.
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Nie, L, Wei, X, Zhang, D, Wang, X, Gao, Z & Yang, Y 2017, 'Data-Driven Answer Selection in Community QA Systems', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 6, pp. 1186-1198.
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Zhang, Z, Liu, S, Mei, X, Xiao, B & Zheng, L 2017, 'Learning completed discriminative local features for texture classification', Pattern Recognition, vol. 67, pp. 263-275.
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Yan, Y, Nie, F, Li, W, Gao, C, Yang, Y & Xu, D 2016, 'Image Classification by Cross-Media Active Learning With Privileged Information', IEEE Transactions on Multimedia, vol. 18, no. 12, pp. 2494-2502.
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Chang, X, Yang, Y, Long, G, Zhang, C & Hauptmann, AG 1970, 'Dynamic Concept Composition for Zero-Example Event Detection', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 3464-3470.

Zheng, L, Zhang, H, Sun, S, Chandraker, M, Yang, Y & Tian, Q 1970, 'Person Re-identification in the Wild', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 3346-3355.
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FOR Codes: Information Services, Artificial Intelligence and Image Processing, Deep learning

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.