I am currently a postdoctoral research fellow at Zhejiang University, working with Prof. Haishuai Wang. I also work closely with Dr. Shu Kong. Before that, I was an assistant research fellow at Zhejiang Lab. I completed my Ph.D. from the University of Edinburgh, supervised by Prof. David Laurenson.

My research interests lie in computer vision and machine learning, with a specific focus on instance detection in robotics and transfer learning in healthcare applications.

🔥 News

• 2025.02:  🎉🎉 Our paper, “Solving Instance Detection from an Open-World Perspective” has been accepted by CVPR 2025.
• 2024.12:  🎉🎉 Our Challenge Workshop “Object Instance Detection” has been held in conjunction with ACCV on December 09, 2024!
• 2024.06:  🎉🎉 Our Challenge “Object Instance Detection” has been held at “4th Workshop on Visual Perception and Learning in an Open World” in conjunction with CVPR on June 18, 2024!
• 2023.10:  🎉🎉 Our paper, “A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture” has been accepted by NeurIPS Datasets and Benchmarks Track 2023.

📝 Publications

CVPR 2025

Solving Instance Detection from an Open-World Perspective

Qianqian Shen^*, Yunhan Zhao^*, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

[Project]    [Paper]

NeurIPS 2023

A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture

Qianqian Shen^*, Yunhan Zhao^*, Nahyun Kwon, Jeeeun Kim, Yanan Li, Shu Kong

[Project]    [Paper]

• Q-Net: Query-informed few-shot medical image segmentation, Qianqian Shen, Yanan Li, Jiyong Jin, Bin Liu. Intellisys. 2023.
• A dynamic feature fusion strategy for magnetic field and wi-fi based indoor positioning, Yichen Du, Tughrul Arslan, Qianqian Shen. IPIN. 2019