Publishing a paper in computer vision requires identifying a novel problem or improving upon an existing solution. Begin with thorough research on recent advancements in your area of interest by reading papers on arXiv, IEEE Xplore, or CVF Open Access.
Design and conduct experiments to validate your approach, using benchmark datasets such as COCO, ImageNet, or PASCAL VOC. Document your methodology, results, and conclusions in a structured paper format, following the guidelines of your target journal or conference.
Submit your paper to reputable venues like CVPR, ICCV, or ECCV for peer review. Incorporate reviewers’ feedback and ensure high-quality visuals and clear writing. Collaboration with experienced researchers or mentors can enhance your chances of acceptance.