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Mohammad Saeed Rad

2 accepted papers

2019

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

ICCV 2019poster

By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its low-resolution counterpart. Although such objective functions generate near-photorealistic results, their capability is li…

Cited by 180PDFcodeScholar
2019

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion

ICCV 2019poster

Despite well-established baselines, learning of scene depth and ego-motion from monocular video remains an ongoing challenge, specifically when handling scaling ambiguity issues and depth inconsistencies in image sequences. Much prior work uses either a supervised mode of learning or stereo images.…

Cited by 47PDFScholar