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Section: Publications & Resources
Publication: IEEE Journal of Selected Topics in Signal Processing
Manuscript Due: 30 November 2025
Publication Date: April 2026
Section: Publications & Resources
SPS Members win the 2026 IEEE Technical Field Award and the 2025 IEEE Haraden Pratt Award for outstanding volunteer service.
Section: Publications & Resources
The IEEE Signal Processing Society (SPS) is pleased to announce that Professor Honggang Wang has been elected as the new Editor-in-Chief (EIC) of the IEEE Transactions on Multimedia (T-MM)
Section: Publications & Resources
The IEEE SPS SigMA (Signal Processing Mentorship Academy) Steering Committee will soon launch the fourth installment of its mentoring program for young IEEE SPS researchers and would like to invite you to join as research mentors.
Section: Publications & Resources
This prestigious award honors a paper that demonstrates exceptional innovation, quality, and impact in the field of medical imaging.
Section: Publications & Resources
2025 IEEE SPS Award nominations are now open. Nominate a colleague and recognize their work.
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Semantic correspondence seeks to establish matches between different instances of the same category. A common paradigm for this task leverages high-quality features from stable diffusion (SD) and DINO
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Image denoising is a long-standing inverse problem in computer vision. Despite recent progress, existing methods still struggle to balance precise feature focusing with structural fidelity under compl
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Video Corpus Moment Retrieval (VCMR) is pivotal to multimodal understanding. However, existing methods rely heavily on large-scale annotated data, which limits their generalization and scalability. To
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Ground-based observations are often degraded by the combined effects of spatially non-uniform, strong stray-light contamination and noise. High-fidelity restoration of ground-based star images is a pr
