| CARVIEW |
I am currently a Research Fellow at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI, Abu Dhabi, UAE) working with Dr. Hang Dai and Prof. Ling Shao. Before that, I was working as a joint Mitacs Postdoc Fellow in the Department of Computing Science (Prof. Martin Jagersand) and the Department of Radiology & Diagnostic Imaging (Prof. Kumaradevan Punithakumar) at University of Alberta from Mar. 2020 to Mar. 2021. I obtained my PhD degree from the the Department of Computing Science at University of Alberta, supervisored by Prof. Martin Jagersand, in Feb. 2020. I achieved my M.Sc. degree from the Institute of Remote Sensing & Geographical Information System, Peking University China in Jul. 2015, supervised by Prof. Min Sun and Prof. Qiming Qin. I obtained my B.Eng. degree from the School of Information Sciences and Technology at Shandong Agricultural University China in Jul. 2012.
My current research focus is highly accurate image segmentation, of which the final goal is to enable the “safe” and “efficient” interactions between the machines and the real-world entities. My general research interests cover wide areas across computer vision, machine learning and artificial intelligence including semi-automatic image labeling, edge and object detection, perceptual grouping, high degree-of-freedom visual tracking, image registration as well as their applications in augmented reality (AR), 3D reconstruction, SLAM, robotics, medical image processing, photogrammetry, and remote sensing, etc.
Publications
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TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection.
Atefeh Shahroudnejad*, Xuebin Qin*, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob Jaremko, Jeevesh Kapur, Martin Jagersand, Michelle Noga and Kumaradevan Punithakumar.
MICCAI 2021(* denotes equally contributed).
[Paper][Code]
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U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection.
Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaiane and Martin Jagersand.
Pattern Recognition (PR), (BEST PAPER AWARD).
Applications:
ClipDrop -- rembg -- Pixelmator pro -- Clipping Camera
BASNet: Boundary Aware Salient Object Detection.
Xuebin Qin, Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan and Martin Jagersand.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Applications:
ClipDrop -- Pixelmator pro -- Clipping Camera
AR COPY&PASTE Code and Demo on Twitter(viewed 5.7 Million) -- Object Cut
ByLabel: A Boundary based Semi-Automatic Image Annotation Tool.
Xuebin Qin, Shida He, Zichen Zhang, Masood Dehghan and Martin Jagersand.
In IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018.
[Paper][Code][video][Project page]
Accurate Outline Extraction of Individual Building from High Resolution Aerial Images.
Xuebin Qin, Shida He, Xiucheng Yang, Masood Dehghan, Qiming Qin and Martin Jagersand.
In IEEE Geoscience and Remote Sensing Letters (GRSL), 2018.
[Paper][Code and Data][Project page]
Real-time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping.
Xuebin Qin, Shida He, Camilo Perez Quintero, Abhineet Singh, Masood Dehghan and Martin Jagersand.
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017.
Oral Presentation
[Paper][Code][data][video]
Building Facade Recognition using Oblique Aerial Images.
Xiucheng Yang, Xuebin Qin, Jun Wang, Jianhua Wang, Xin Ye, and Qiming Qin.
Remote Sensing (RS), 2015.
[Paper]
An Efficient Approach for Automatic Rectangular Building Extraction from Very High Resolution Optical Satellite Imagery.
Jun Wang, Xiucheng Yang, Xuebin Qin, Xin Ye, and Qiming Qin.
In IEEE Geoscience and Remote Sensing Letters (GRSL), 2015.
[Paper]
Feasibility Study of Building Seismic Damage Assessment using Oblique Photogrammetric Technology.
Xuebin Qin, Qiming Qin, Xiucheng Yang, Jun Wang, Chao Chen, and Ning Zhang.
IEEE International Geoscience and Remote Sensing Symposium (IGRSS), 2013.
Oral Presentation







