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cs.CV2024
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
Diandian Guo, Deng-Ping Fan, Tongyu Lu +2
The estimation of implicit cross-frame correspondences and the high computational cost have long been major challenges in video semantic segmentation (VSS) for driving scenes. Prio…
cs.CV2023
A Semi-Paired Approach For Label-to-Image Translation
George Eskandar, Shuai Zhang, Mohamed Abdelsamad +3
Data efficiency, or the ability to generalize from a few labeled data, remains a major challenge in deep learning. Semi-supervised learning has thrived in traditional recognition t…
cs.CV2023
Towards Pragmatic Semantic Image Synthesis for Urban Scenes
George Eskandar, Diandian Guo, Karim Guirguis +1
The need for large amounts of training and validation data is a huge concern in scaling AI algorithms for autonomous driving. Semantic Image Synthesis (SIS), or label-to-image tran…