Projects per year
Personal profile
Research Interests
My main research area is computer vision, and I focus on the topic of partial-duplicate large-scale image discovery. Corresponding contributions include areas of large-scale duplicate image detection, content-based image retrieval, image spatial verification, pattern recognition and large-scale image clustering, as well as knowledge discovery in large image collections.
Personal profile
Qian Zhang completed her BSc in Computer Science from the Hong Kong Baptist University in 2009. Following this she obtained an MSc (distinction) in Computer Science and Entrepreneurship at the University of Nottingham (UK) in the year 2010. Later in the next year, she started her PhD in the field of computer vision and image discovery within the Intelligent Modelling and Analysis Research Group (IMA) at the University of Nottingham, UK. She obtained her PhD in the year 2015 and joins the University of Nottingham Ningbo China (UNNC) in 2016 as an assistant professor.
Research Gate: https://www.researchgate.net/profile/Qian_Zhang106
Teaching
Image processing
Computer vision
Machine learning
Person Types
- Staff
Fingerprint
Collaborations and top research areas from the last five years
Projects
- 5 Finished
-
Intelligent Investigation Assistant System Using NLP
Zhang, Q. (PI)
10/12/20 → 9/12/22
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
-
Mobile phone acquisition data crawling and data structure system
Zhang, Q. (PI)
1/06/19 → 31/10/19
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
-
The research of new 3D HDR multi-focused images fusion technologies and application in digital microscope
Zhang, Q. (PI)
2/03/15 → 1/03/18
Project: Government Funded Projects › Vertical-Ningbo Municipal Government Funded Projects
-
System architecture and platform research on Ningbo internet vehicles
Zhang, Q. (PI)
1/09/13 → 31/12/13
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
-
Big data analytics and applications on Ningbo internet of vehicles
Zhang, Q. (PI)
1/08/13 → 30/11/13
Project: Contract Projects › Horizontal-Ningbo Municipal Contract Projects
-
MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning
Shu, C., Zhu, Y., Tang, X., Xiao, J., Chen, Y., Li, X., Zhang, Q. & Lu, Z., 15 Mar 2024, In: Expert Systems with Applications. 238, 121526.Research output: Journal Publication › Article › peer-review
Open Access5 Citations (Scopus) -
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
Zhang, J., Yang, X., He, W., Ren, J., Zhang, Q., Zhao, Y., Bai, R., He, X. & Liu, J., 25 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 1 ed. Association for the Advancement of Artificial Intelligence, p. 410-418 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 1).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access3 Citations (Scopus) -
Seat belt detection using gated Bi-LSTM with part-to-whole attention on diagonally sampled patches
Gu, X., Lu, Z., Ren, J. & Zhang, Q., 15 Oct 2024, In: Expert Systems with Applications. 252, 123784.Research output: Journal Publication › Article › peer-review
Open Access1 Citation (Scopus) -
Deep Learning-Based RGB-Thermal Image Denoising: Review and Applications
Yu, Y., Lee, B. G., Pike, M., Zhang, Q. & Chung, W.-Y., 29 Jun 2023, In: Multimedia Tools and Applications. 29 p.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Zhang, Z., Shu, C., Xiao, Y., Shen, Y., Zhu, D., Xiao, J., Chen, Y., Lau, J. H., Zhang, Q. & Lu, Z., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1209-1221 13 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review