2. Deep Fourier-embedded Network for RGB and Thermal Salient Object Detection
3. Efficient Fourier Filtering Network with Contrastive Learning for AAV-based Unaligned Bi-modal Salient Object Detection
4. Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
5. Saliency detection via absorbing Markov chain with multi-level cues
6. Optic disc detection based on visual saliency in fundus image
Projects: Information discrimination and modal fusion based multi-modal salient object detection in complex scenes, supported by the Fundamental Research Funds for the Central Universities, Ministry of Education of China, 2023.01-2024.12.
Research Experience
Involved in multiple research projects on salient object detection and multi-modal image processing.
Education
PhD student at the Faculty of Robot Science and Engineering, Northeastern University, China, supervised by Prof. Chengdong Wu; working with Prof. Xiaosheng Yu. Joint PhD student at the College of Computing and Data Science, Nanyang Technological University, Singapore, supervised by Prof. Jagath C. Rajapakse; working with Dr. Pak-Hei Yeung and Dr. Jing Xia.
Background
Research interests: computer vision and machine learning. Currently working on multi-modal image processing for natural and medical images.
Miscellany
Academic services: Reviewer for TIP, TMM, TCSVT, TGRS, etc.