Projects per year
Personal profile
Personal profile
Dr. Siyue Yu graduated from Xian Jiaotong-Liverpool University (Electrical and Electronic Engineering) with a bachelors degree. In December 2022, she received her Ph.D. at the University of Liverpool (Electrical and Electronic Engineering). She was supervised by Prof. Jimin Xiao and Prof. Eng Gee Lim during her PhD. She joined XJTLU in January 2023 as a lecturer. During her doctoral period, she has been researching computer vision, including video object segmentation, weakly supervised salient object detection, and co-salient object detection. She has published papers in CVPR, AAAI, Signal Processing: Image Communication, and other internationally renowned authoritative conferences or journals, including three papers as the first author. She also serves as a reviewer for several journals and conferences including TPAMI, TIP, and CVPR.https://scholar.google.com/citations?user=AdxzTKsAAAAJhl=zh-CNoi=ao
Research interests
Anomaly Detection, Sample Generation, Semantic Segmentation
Experience
Lecturer, XJTLU, 2023 - to Present
Teaching
INT305
INT302
Related documents
Education/Academic qualification
Bachelor Xi'an Jiaotong-Liverpool University, 2012-2016
Ph.D. University of Liverpool, 2018-2022
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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Intergral Feature Mining for Image-level Supervised Co-salient Object Detection
1/01/24 → 31/12/26
Project: Governmental Research Project
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Comprehensive Exploration of Image-level Supervised Co-salient Object Detection
1/07/23 → 30/06/26
Project: Internal Research Project
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Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Gong, Y., Yu, S., Wang, X. & Xiao, J., 2024, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Correction: ITContrast: contrastive learning with hard negative synthesis for image-text matching (The Visual Computer, (2024), 10.1007/s00371-024-03274-w)
Wu, F., Wang, Q., Wang, Z., Yu, S., Li, Y., Zhang, B. & Lim, E. G., 2024, (Accepted/In press) In: Visual Computer.Research output: Contribution to journal › Comment/debate
Open Access -
Cross-frame feature-saliency mutual reinforcing for weakly supervised video salient object detection
Wang, J., Yu, S., Zhang, B., Zhao, X., García-Fernández, Á. F., Lim, E. G. & Xiao, J., Jun 2024, In: Pattern Recognition. 150, 110302.Research output: Contribution to journal › Article › peer-review
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Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance
Zhang, B., Gao, X., Yu, S. & Liu, W., Dec 2024, In: Pattern Recognition. 156, 110787.Research output: Contribution to journal › Article › peer-review
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Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
Zhang, B., Yu, S., Wei, Y., Zhao, Y. & Xiao, J., 2024, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
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[ISE] 2024 IEEE International Conference on Automation in Manufacturing, Transportation and Logistics (iCaMaL2024)
Siyue Yu (Speaker)
7 Aug 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar
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Multimedia Systems (Journal)
Siyue Yu (Reviewer)
25 Apr 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
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Video Anomaly Detection and Explanation via Large Language Models
Siyue Yu (Supervisor)
2024 → …Activity: Supervision › Completed SURF Project