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Sinisa Segvic

2 accepted papers

2020

Warp to the Future: Joint Forecasting of Features and Feature Motion

CVPR 2020poster

We address anticipation of scene development by forecasting semantic segmentation of future frames. Several previous works approach this problem by F2F (feature-to-feature) forecasting where future features are regressed from observed features. Different from previous work, we consider a novel F2M (…

Cited by 34PDFScholar
2019

In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images

CVPR 2019poster

Recent success of semantic segmentation approaches on demanding road driving datasets has spurred interest in many related application fields. Many of these applications involve real-time prediction on mobile platforms such as cars, drones and various kinds of robots. Real-time setup is challenging…

Cited by 481PDFcodeScholar