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.