Changqun Xia
Scholar

Changqun Xia

Google Scholar ID: PJG_UUUAAAAJ
Associate Professor @ Peng Cheng Laboratory
Compute Vision and Pattern Recognition
Citations & Impact
All-time
Citations
1,396
 
H-index
17
 
i10-index
18
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published numerous papers in journals and conferences such as TPAMI, TIP, CVPR, and ICCV.
  • Involved in various research projects including Boosting Broader Receptive Fields for Salient Object Detection, View-aware Salient Object Detection for 360 Omnidirectional Image, and Pyramid Grafting Network for One-Stage High Resolution Saliency Detection.
  • Proposed several methods and techniques, such as Bilateral Extreme Stripping encoder, view-aware salient object detection method, and Pyramid Grafting network.
  • Constructed multiple datasets, including ODI-SOD and UHRSD.
  • Secured an oral presentation opportunity at ICME 2021.
Research Experience
  • Serves as an associate professor at PCL, engaging in multiple research projects mainly focused on salient object detection and 360 omnidirectional image processing.
Education
  • Received a Ph.D. from the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, advised by Prof. Jia Li.
Background
  • Currently an associate professor at Peng Cheng Laboratory (PCL), Shenzhen, China. Research interests include computer vision and machine learning, particularly in image and video processing.
Miscellany
  • Email: xiachq@pcl.ac.cn; Google Scholar profile; Member of CVTeam.