The article introduces a new method called Simultaneous Twin Kernel Learning (STKL) to improve learning and inference in computer vision problems. By simultaneously learning kernel functions on both input and output domains, STKL can enhance the performance of Twin Gaussian Processes (TGP). The researchers show that using STKL leads to consistent improvements in performance on various datasets, demonstrating the effectiveness of this approach in structured prediction tasks.